MARKET INSIGHTS Guide to the Markets Asia | 3Q 2023 | As of June 30, 2023 Global Market Insights Strategy Team Americas GTM ASIA Europe Karen Ward London Dr. David Kelly, CFA New York David Lebovitz New York Gabriela Santos New York Jack Manley New York Meera Pandit, CFA New York Asia Hugh Gimber, CFA London Tai Hui Hong Kong Vincent Juvyns Luxembourg Marcella Chow Hong Kong Tilmann Galler, CFA Frankfurt Ian Hui Hong Kong Max McKechnie London Jordan Jackson New York Chaoping Zhu, CFA Shanghai Maria Paola Toschi Milan Stephanie Aliaga New York Adrian Tong Hong Kong Natasha May London Mary Park Durham New York Nimish Vyas New York Marina Valentini São Paulo Brandon Hall New York 2 Kathleen Clum New York Zara Nokes London Shogo Maekawa Tokyo Arthur Jiang Shanghai Elena Domecq Madrid Jennifer Qiu Hong Kong Lucia Gutierrez Mellado Madrid Sahil Gauba Mumbai Agnes Lin Taipei Kerry Craig, CFA Melbourne 2 Page reference GTM ASIA Regional economy Equities Other asset classes 4. 5. 6. 7. 8. 9. 10. 11. 30. 31. 32. 33. 34. 35. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. ASEAN: Exports and mobility China: Economic snapshot China: Cyclical indicators China: Unemployment and income China: Property sector China: Fiscal policy China: Monetary policy and credit growth China: Exchange rate Global economy 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. Global growth forecasts Global Purchasing Managers’ Index (PMI) Global inflation Global inflation forecasts Central bank inflation targets Global central bank policy rate changes G4 central bank policy rates and market expectations United States: Economic growth and the contribution to GDP United States: Economic monitor United States: Consumption and investments United States: Employment and wages United States: Housing market United States: Inflation United States: Monetary policy United States: Federal Reserve balance sheet Eurozone: Economic monitor Eurozone: Economic snapshot Japan: Economic snapshot 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. Fixed income 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 62. 3 Global and Asia equity market returns Global equities: Return composition Global equities: Earnings expectations Global equities: Valuations Global equities: Growth versus value APAC ex-Japan equities: Earnings expectations by market and sector APAC ex-Japan equities: Performance drivers APAC ex-Japan equities: Returns and valuations by sector APAC ex-Japan equities: Earnings trend by revenue source and exports APAC ex-Japan equities: Export and revenue exposure by geography APAC ex-Japan equities: Dividends China: Sector earnings and valuations India: Sector earnings and valuations Japan: Corporate governance and valuations Europe: Sector earnings and valuations United States: Sector earnings and valuations United States: Sources of earnings per share growth United States: Earnings and rate hikes United States: Bull and bear markets Global fixed income returns Global fixed income: Yields and duration Global fixed income: Interest rate sensitivity Global fixed income: Return composition Global fixed income: Valuations Global fixed income: Government bond yields and expected inflation Global fixed income: Yields and risks U.S. real yields U.S. investment grade bonds U.S. high yield bond spreads U.S. high yield bond fundamentals U.S. securitized assets Emerging market debt Asia fixed income 3 Asset class returns Volatility U.S. dollar Currencies Emerging market external positions Commodities Gold Oil: Short-term market dynamics Alternative sources of income Understanding alternatives Investing principles 73. 74. 75. 76. 77. 78. 79. 80. 81. 82. Global energy transition New energy vehicles Global commodities and sustainable energy Equity annual returns and intra-year declines Fixed income annual returns and intra-year declines U.S. market implied recession probabilities U.S. economic cycle and asset performance Long-term returns of asset classes The compounding effect Portfolio construction, asset class returns and volatility 83. 60/40 stock-bond portfolio performance 84. Correlation between stocks and bonds Regional economy ASEAN: Exports and mobility GTM ASIA Exports 4 Tourist arrivals Year-over-year change, 6-month moving average 60% Relative to respective month in 2019 100% 90% 50% 80% 40% 70% 30% 60% 20% 50% 40% 10% 30% 0% 20% -10% -20% '10 10% '12 Indonesia Vietnam 4 '14 Malaysia '16 Philippines '18 '20 Singapore '22 Thailand 0% Jan '22 Mar '22 May '22 Jul '22 Sep '22 Nov '22 Jan '23 Mar '23 May '23 Indonesia Malaysia Philippines Vietnam Source: FactSet, J.P. Morgan Asset Management; (Left) National Statistics Agencies; (Right) CEIC, Development of Tourism Thailand, General Statistics Office Vietnam, Tourism Malaysia. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Singapore Thailand Regional economy China: Economic snapshot GTM ASIA Contribution to real GDP growth Caixin/Markit Purchasing Managers’ Indices Year-over-year change (y/y) 28% Index 65 2Q22 3Q22 4Q22 Contribution to y/y change 24% 20% 5 1Q23 Investment (ppts) 0.3 0.8 3.9 1.6 Consumption (ppts) -0.8 2.0 0.2 3.0 Net exports (ppts) 1.0 1.1 -1.2 -0.1 Total GDP (% change, y/y) 0.4 3.9 2.9 4.5 05/2023: 57.1 06/2023: 50.5 60 55 16% YTD 2023: 4.5% 12% 50 45 8% 40 4% 35 0% 30 -4% -8% 5 '80 '85 '90 '95 '00 '05 '10 Investment (Gross capital formation) Consumption Net exports GDP '15 '20 25 07' 08' 09' 10' 11' 12' 13' 14' 15' 16' 17' 18' 19' 20' 21' 22' 23' Services Manufacturing Source: J.P. Morgan Asset Management; (Left) CEIC, National Bureau of Statistics of China; (Right) Caixin/Markit, J.P. Morgan Economic Research. Total gross domestic product (GDP) figures may not sum due to rounding. Purchasing Managers’ Index (PMI) is relative to 50, which indicates deceleration (below 50) or acceleration (above 50) of economic activities in the sector. Data for the Caixin/Markit Purchasing Managers’ Services index begins from 31/10/08. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Regional economy China: Cyclical indicators GTM ASIA Fixed asset investment 6 Consumption Year-to-date, year-over-year change 40% Year-over-year change, 3-month moving average 50% 130 40% 30% 120 20% 30% 10% 20% 0% 10% -10% 0% 110 100 90 -10% -20% -30% '11 '12 '13 Aggregate 6 '14 '15 Private '16 '17 '18 '19 '20 '21 State-owned enterprises Source: CEIC, National Bureau of Statistics of China, J.P. Morgan Asset Management. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '22 '23 -20% '16 '17 Retail sales Online sales '18 '19 '20 '21 '22 '23 Consumer confidence 80 Regional economy China: Unemployment and income GTM ASIA Surveyed urban unemployment rate by age Chinese consumer income and wealth effect Indexed, 31/12/2020 = 100 110 26% 05/2023: 20.8% 21% 105 100 95 16% 90 85 11% 80 75 70 6% 05/2023: 4.1% 1% '18 '19 Aged 16 to 24 7 '20 Aged 25 to 59 '21 '22 '23 65 60 Dec '20 Jun '21 CSI 300 index Dec '21 Jun '22 Dec '22 Secondary residential property price index Income confidence index Source: CEIC, FactSet, National Bureau Statistics of China, J.P. Morgan Asset Management. The urban survey unemployment rate began in 2018 as a more accurate replacement to the old indicator of registered unemployment rate, and it is now the major indicator used by policymakers for unemployment. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 7 Regional economy China: Property sector GTM ASIA China residential property price and volume Source of fundings for property developers** Year-over-year change 60% Trillion RMB 25 50% 20 40% 30% Domestic loans Self-raised funds Deposit and advanced payments Personal mortgage loans Others 36% 0.65 19% 4% 0.02 15 0.01 0.05 0.06 0.03 10% 1.4 10 0% -10% 0.8 5 -20% 2.2 3.5 -30% '11 '12 '13 '14 '15 '16 Residential property price '17 '18 '19 '20 '21 '22 '23 0 1.4 0.66 1.1 3.4 3.0 3.3 3.0 4.2 3.9 5.0 4.9 4.9 3.2 0.55 2.4 2.4 4.9 5.6 6.1 5.1 6.7 7.4 2.4 4.9 2.7 4.7 0.61 2.7 2.4 1.7 0.04 0.08 8 YTD proportion of total funding 13% 29% 0.70 20% -40% 8 5.6 5.8 6.3 YTD 0.23 6.5 5.3 1.0 2.0 1.3 1.5 2.0 2.1 2.0 2.2 2.5 2.4 2.5 2.7 2.3 1.7 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 Housing volume* (3-month moving average) Source: National Bureau of Statistics of China, J.P. Morgan Asset Management; (Left) CEIC; (Right) Wind. *Housing volume is the sum of the floor space of residential buildings sold, residential buildings newly started and residential buildings completed. **Domestic loans refers to loans borrowed from banks. Self-raised funds include developers’ internal funds, funds raised from bond issuance, equity issuance and accounts payable to construction contractors and other relevant parties. Personal mortgage loans are mortgage loans that home buyers borrow from banks and public housing funds. Proportion of total funding percentages may not sum to 100% due to rounding. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 1.6 0.7 '23 Regional economy China: Fiscal policy GTM ASIA Fiscal revenue and expenditure* 9 Fiscal balance** Year-over-year change, 3-month moving average 40% % of nominal GDP 0% -2% 30% -4% 20% -6% 10% -8% 0% -10% -10% -12% -20% -30% -14% '14 '15 Revenue 9 '16 '17 '18 Expenditure '19 '20 '21 '22 '23 -16% '10 '11 '12 Budget deficit '13 '14 '15 '16 Actual deficit*** '17 '18 '19 '20 '21 Augmented deficit Source: CEIC, Ministry of Finance of China, J.P. Morgan Asset Management. *Fiscal revenue includes taxes, government funds, which are mostly derived from local government land sales, and other government revenues. Fiscal expenditure includes government spending of funds raised from taxes, government funds and general bond issuance. **Fiscal balance figures for 2023 are forecasts. ***Actual deficit = fiscal revenues – fiscal expenditures. Budget deficit = actual deficit adjusted with the fiscal stability fund. Augmented deficit is an estimate of all the fiscal resources used by the government to support economic growth, i.e. fiscal balance plus investment via local government financing vehicles, policy banks and other channels. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '22 '23 Regional economy China: Monetary policy and credit growth Chinese credit impulse and global new orders % of nominal GDP, year-over-year change 25% Difference from one year ago 35 GTM ASIA 10 Key interest rates Per annum 7.5% 20% 25 6.0% 15% 15 10% 5% 5 4.5% 0% -5 -5% -10% 3.0% -15 1.5% -15% -25 -20% -25% '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 Credit impulse* (forward 6 months) 10 Global composite PMI - new orders -35 0.0% '15 '16 '17 '18 '19 '20 Loan prime rate (1-year)** Medium-term lending facility (1-year) Source: CEIC, People’s Bank of China (PBoC), J.P. Morgan Asset Management; (Left) Ministry of Finance of China; (Right) National Interbank Funding Center. *Credit impulse measures the year-over-year change of credit flow (net aggregate social financing) as a percentage of nominal GDP. Rolling 12-month nominal GDP and credit stock are used in the calculation. **Previously, the 1-year lending rate was a key interest rate. In August 2019, the PBoC started to release 1-year and 5-year loan prime rates (LPR) on a monthly basis, which are based on quotes from 18 large banks. LPR has become the benchmark for commercial loans and floating rate loan contracts. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '21 '22 '23 Loan prime rate (5-year) Interbank repo (7-day) Regional economy China: Exchange rate GTM ASIA Chinese yuan exchange rate CFETS Index* 108 106 06/08/18: Risk reserve ratio for forward sales of CNY raised to 20% from 0% Stronger CNY 104 102 11/12/15: Launch of the CFETS index 100 96 15' 16' 5.9 6.1 6.3 6.5 6.7 6.9 15/05/22: Reserve ratio on foreign exchange deposit cut to 8% from 9% 17' 18' 7.1 7.3 27/10/20: Suspension of counter-cyclical factor 19' 20' 21' 22' CFETS CNY Index 11 5.7 15/09/22: Reserve ratio on foreign exchange deposit cut to 6% from 8% 26/05/17: Introduction of counter-cyclical factors to stabilize daily central parity 92 90 28/09/22: Risk reserve ratio for forward sales of CNY raised to 20% from 0% Weaker CNY 94 USD/CNY 5.5 12/10/20: Risk reserve ratio for forward sales of CNY cut to 0% from 20% 11/08/15: Market reform to mechanism of CNY exchange rate 98 11 Source: China Foreign Exchange Trade Center, FactSet, J.P. Morgan Economic Research, J.P. Morgan Asset Management. *CFETS CNY Index is the China Foreign Exchange Trade System basket of 24 currencies traded against the Chinese renminbi, where the base value was set at 100 as of 31/12/14. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 23' USD / CNY (inverted) 7.5 Global growth forecasts GTM ASIA Developed markets quarterly real GDP growth Global economy Year-over-year change 15% Emerging markets quarterly real GDP growth Forecast* Year-over-year change 25% Forecast* 20% 10% 15% 5% 10% 0% 5% -5% Jan '21 U.S. 12 Jul '21 Jan '22 Eurozone Jul '22 Japan Jan '23 12 Jul '23 0% Jan '21 China Jul '21 India Jan '22 Jul '22 Brazil Source: FactSet, J.P. Morgan Economic Research, J.P. Morgan Asset Management. *Real GDP growth forecasts are based on growth forecasts estimated by J.P. Morgan Economic Research. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Jan '23 Jul '23 Global Purchasing Managers’ Index (PMI) Global economy 55 50 45 40 '99 '01 '03 '05 Manufacturing 13 '07 '09 Services '11 '13 '15 '17 '19 '21 '23 Jun '23 May '23 Apr '23 Mar '23 Feb '23 Jan '23 Dec '22 Nov '22 Oct '22 Sep '22 Jul '22 60 35 13 Global manufacturing PMI breakdown Index 65 Aug '22 Global manufacturing and services PMI GTM ASIA Global 49.6 48.8 DM* 47.6 46.3 EM** 51.4 51.1 U.S. (Markit) 48.4 46.3 U.S. (ISM) 46.9 46.0 Eurozone 44.8 43.6 Germ any 43.2 40.6 France 45.7 46.0 Italy 45.9 43.8 Spain 48.4 48.0 UK 47.1 46.5 Australia 48.4 48.2 Japan 50.6 49.8 China (Markit) 50.9 50.5 China (NBS) 48.8 49.0 Korea 48.4 47.8 Taiw an 44.3 44.8 Indonesia 50.3 52.5 India 58.7 57.8 Russia 53.5 52.6 Brazil 47.1 46.6 Mexico 50.5 50.9 Source: Institute for Supply Management, J.P. Morgan Economic Research, Markit, S&P Global, J.P. Morgan Asset Management. PMIs are relative to 50, which indicates deceleration (below 50) or acceleration (above 50) of the sector. Heatmap colors are based on PMI relative to the 50 level, with green (red) corresponding to acceleration (deceleration). *Developed market includes Australia, Canada, Denmark, eurozone, Japan, New Zealand, Norway, Sweden, Switzerland, UK and the U.S. **Emerging market includes Brazil, Chile, China, Colombia, Croatia, Czech Republic, Hong Kong SAR, Hungary, India, Indonesia, Israel, Korea, Malaysia, Mexico, Philippines, Poland, Romania, Russia, Saudi Arabia, Singapore, South Africa, Taiwan, Thailand, Turkey and Vietnam. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Global inflation GTM ASIA 14 Headline consumer prices Year-over-year change, quarterly Below trend Inflation running Above trend Developed Markets Other EM 14 May '23 Jun '23 U.S. 4.1% - UK 8.7% - Eurozone 6.1% 5.5% Japan 3.2% - Australia 5.9% 5.7% China 0.2% - India 4.3% - Korea 3.3% 2.7% Taiwan 2.2% - Indonesia 4.0% 3.5% Malaysia 2.8% - Thailand 0.5% - Brazil 3.9% - Mexico 5.8% - Turkey 39.6% - South Africa 6.3% - 2013 EM Asia Global economy Legend 2014 2015 2016 2017 2018 2019 2020 2021 Source: Department of Statistics Malaysia, DGBAS, Eurostat, FactSet, IBGE, India Ministry of Statistics & Programme Implementation, INEGI, J.P. Morgan Economics Research, Korean National Statistical Office, Melbourne Institute, Ministry of Commerce Thailand, Ministry of Internal Affairs & Communications Japan, National Bureau of Statistics China, Office for National Statistics UK, Statistics Indonesia, Statistics Institute Turkey, Statistics South Africa, U.S. Department of Labor, J.P. Morgan Asset Management. Seasonally adjusted quarterly averages, with the exception of the two most recent figures, which are seasonally adjusted single month readings, are shown. Colors are based on z-score of year-over-year inflation rate relative to each market’s own 10-year history where red (green) indicates inflation above (below) long-run trend. EM represents emerging markets. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 2022 Global inflation forecasts GTM ASIA Developed market headline consumer price inflation Global economy Year-over-year change 12% 15 Emerging market headline consumer price inflation Forecast* Year-over-year change 14% Forecast* 12% 10% 10% 8% 8% 6% 6% 4% 4% 2% 2% 0% 0% -2% 2018 2019 U.S. 15 Japan 2020 2021 Euro Area 2022 2023 2024 -2% 2018 2019 China 2020 India 2021 Brazil Source: FactSet, J.P. Morgan Economic Research, J.P. Morgan Asset Management. *Inflation forecasts are based on forecasts estimated by J.P. Morgan Economic Research. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 2022 2023 2024 Central bank inflation targets GTM ASIA 16 Inflation and central bank inflation targets Year-over-year change 12% Global economy 11% 10.5% Inflation target range Inflation target or midpoint Current inflation 10% 9.2% Inflation six months ago 9% 8.7% 8% 7% 5.9% 4% 2.8% 3% 1% 0% 4.1% 4.0% China 3.3% 4.0% 4.1% 5.5% 6.6% 6.9% 4.3% 3.5% 2.2% 1.8% 0.2% 3.2% 5.7% 5.5% 5.0% 5% 2% 6.9% 6.4% 6% 16 8.6% 0.5% Thailand Taiwan Japan Korea Malaysia** Indonesia U.S. India Eurozone Australia* Philippines Source: FactSet, J.P. Morgan Asset Management. *The inflation figure used for Australia is based on trimmed-mean consumer price index (CPI), which is the preferred metric used by the Reserve Bank of Australia for its inflation target. **The inflation figure used for Malaysia is based on core CPI, which is the preferred metric used by the Bank Negara Malaysia (The Central Bank of Malaysia) for its inflation target. Inflation figures for other listed economies are based on headline CPI, in accordance with their preferred inflation target metric. Note that while the U.S. Federal Reserve officially targets 2% headline personal consumption expenditure (PCE) inflation, headline CPI is used for U.S. inflation in this chart due to the timelier release of data. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. UK Global central bank policy rate changes Changes in central bank policy rates 7% 250 Global economy 17 Expected change in central bank policy rates** Number of hikes or cuts* 200 GTM ASIA Rate hikes 6% 150 5% 100 4% 50 3% 2% 0 1% -50 0% -100 17 Interest rate at start of 2022 Current interest rate Source: Bank of International Settlements, J.P. Morgan Asset Management; (Right) CEIC, J.P. Morgan Economic Research. *Count covers the 38 central banks included in the Bank for International Settlements’ central bank policy monitor except Argentina, Croatia and Hong Kong. **Unseen markers are likely due to overlapping values. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Expected rate by 31/12/23 India Philippines Indonesia U.S. UK Australia Euro area Malaysia China South Korea '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 YTD '23 Emerging markets / Developed markets / Thailand -200 Taiwan -1% -150 Japan Rate cuts G4 central bank policy rates and market expectations G4 central bank key policy rates GTM ASIA 18 Market expectations* for central bank policy rates Per annum 6.0% Expected rate by 31/12/23 7.0% Global economy 5.5% 6.0% 5.0% 4.5% 5.0% 4.0% 3.5% 4.0% 3.0% 3.0% 2.5% 2.0% 2.0% 1.5% 1.0% 1.0% 0.5% 0.0% 0.0% -0.5% -1.0% '10 '12 U.S. UK '14 Eurozone '16 '18 Japan '20 '22 -1.0% Dec '22 Feb '23 U.S. Federal Reserve Apr '23 Bank of England Bank of Japan 18 Source: J.P. Morgan Asset Management; (Left) FactSet; (Right) Bloomberg. *Expectations are derived from the World Interest Rate Probability (WIRP) estimated forward rates. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Jun '23 European Central Bank United States: Economic growth and the contribution to GDP Real GDP Global economy Percentage points Real GDP 1Q23 12% Year-over-year change: 1.8% 10% Quarter-over-quarter SAAR* change: 2.0% 8% 19 Component contribution to GDP Year-over-year change 14% GTM ASIA 20 15 10 10-year average: 2.1% 50-year average: 2.6% 6% Contribution 1Q23 Consumption 2.79 Investment -2.22 Government 0.85 Net Exports 0.58 5 4% 0 2% 0% -5 -2% -10 -4% -6% -15 -8% -10% 19 '72 '77 '82 '87 '92 '97 '02 '07 '12 '17 '22 -20 Sep Dec Mar Jun Sep Dec Mar Jun Sep Dec Mar Jun Sep Dec Mar '19 '19 '20 '20 '20 '20 '21 '21 '21 '21 '22 '22 '22 '22 '23 Source: Bureau of Economic Analysis, FactSet, J.P. Morgan Asset Management. The chart on the right shows that real GDP growth reached a low of -29.9% quarter-over-quarter annualized during 2Q20 and a high of 35.3% quarter-over-quarter annualized during 3Q20. *SAAR stands for seasonally adjusted annualized rate. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Economic monitor GTM ASIA 20 U.S. economic indicators Percentile rank relative to historic data since 1990 Global economy Broad indicators Consumer and services Manufacturing Labor market Key: Elevated recession risk 100 90 Lower recession risk 80 70 6 months prior 60 50 Latest 40 30 20 Higher recession risk 10 0 20 Conference Board Leading Economic Index Conference Board Leading Credit Index Consumer ISM nonConfidence Index manufacturing ISM manufacturing: New orders Non-farm payrolls Source: Conference Board U.S., FactSet, Institute for Supply Management, U.S. Department of Labor, J.P. Morgan Asset Management. Elevated recession risk flags are shown when the underlying indicator is at a level consistent with the onset of any of the three recessions prior to the COVID-19 recession. Transformations used for each of the indicators are year-over-year percentage change for the Leading Economic Index and Consumer Confidence Index, index level for Leading Credit Index, ISM nonmanufacturing and ISM manufacturing new orders and three-month moving average of monthly absolute change for non-farm payrolls. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Consumption and investments Global economy Real wage growth* and personal consumption expenditure GTM ASIA Investments and future CAPEX*** intentions Year-over-year change, 3-month moving average 5% 10% 4% 8% 3% 6% 2% 4% Year-over-year change 20% Net percentage of respondents 50% 15% 40% 10% 30% 5% 20% 0% 1% 2% -5% 0% 0% -1% -2% -2% -4% -20% -6% -25% -3% '00 '02 '04 '06 '08 Real wage growth* 21 21 '10 '12 '14 '16 '18 '20 '22 Real personal consumption expenditure** 10% -10% 0% -15% -10% '00 '02 '04 '06 '08 '10 Business fixed investment '12 '14 '16 '18 '20 '22 Empire State future capital expenditure survey**** (3-month moving average) Source: U.S. Bureau of Economic Analysis, J.P. Morgan Asset Management; (Left) Federal Reserve Bank of Atlanta, U.S. Department of Labor; (Right) Federal Reserve Bank of New York. *Real wage growth is calculated by taking the year-over-year change in Atlanta Fed Hourly Wage Growth Tracker adjusted using the U.S. Consumer Price Index. **Axis cut off to maintain reasonable scale. ***CAPEX refers to capital expenditure. ****Future capital expenditure intention is the difference between the percentage of businesses looking to increase capital expenditure vs the percentage of businesses looking to decrease capital expenditure over the next 6 months. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. -20% United States: Employment and wages Unemployment rate and average hourly earnings* Labor market supply and demand Percent of labor force, year-over-year change, seasonally adjusted 16% Global economy GTM ASIA 22 2.2 68% 05/2023: 1.7 jobs per unemployed person 2.0 14% 1.8 12% 66% 1.6 Recessions 64% 1.4 10% 05/2023: 3.7% 05/2023: 5.0% 8% 1.2 62% 1.0 6% 0.8 60% 0.6 4% 0.4 2% 0% '85 0.2 '90 '95 Unemployment rate 22 58% '00 '05 '10 Average hourly earnings '15 '20 0.0 '00 '02 '04 '06 '08 '10 '12 JOLTS** job openings per unemployed person Source: J.P. Morgan Asset Management; (Left) FactSet, U.S. Bureau of Labor Statistics; (Right) Conference Board of U.S., U.S. Department of Labor. *Average hourly earnings are calculated from the wages of production and non-supervisory workers. **JOLTS stands for Job Openings and Labor Turnover Survey. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '14 '16 '18 '20 Civilian labor force participation rate '22 56% United States: Housing market GTM ASIA 23 Mortgage rate and housing starts Global economy Per annum 2% Year-over-year change, 6-month moving average 60% 40% 4% Recessions Distribution of mortgage rates Percentage of total outstanding value of residential mortgages, as of 3Q23 40% 38% 35% 30% 20% 6% 0% 8% 25% 20% 23% 20% 15% -20% 10% 10% 10% 12% 23 -40% '90 '95 '00 30-year fixed rate mortgage (inverted) '05 '10 '15 '20 Privately owned housing starts -60% 9% 5% 0% Less Than or Between 3% Between and Between 5% Greater Than Equal to 3% and 4% 4% to 5% and 6% 6% Source: J.P. Morgan Asset Management; (Left) FactSet, Freddie Mac, U.S. Census Bureau; (Right) Federal Housing Finance Agency, National Mortgage Database. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Inflation GTM ASIA 24 Potential pathways for inflation Consumer Price Index (CPI) components contribution 7% 10% Core CPI, seasonally adjusted, forecasts post-May 2023 Year-over-year change, seasonally adjusted 9% Global economy Forecast 8% 6% 5.10% 5% 7% 6% 5% 4% 4% 3.66% 3% 3% 2% 2.43% 2% 1% 0% 1% 1.21% -1% -2% 0% Jan '20 Aug '20 Mar '21 Historical Assuming 0.3% m/m Oct '21 May '22 Dec '22 Jul '23 Assuming 0.41% m/m (6-month average) Assuming 0.2% m/m Assuming 0.1% m/m 24 Feb '24 Source: FactSet, U.S. Bureau of Labor Statistics, J.P. Morgan Asset Management. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. -3% '20 '21 Core goods Food '22 Core services ex-shelter Energy '23 Shelter United States: Monetary policy GTM ASIA 25 Federal funds rate expectations Global economy Market expectations for the fed funds rate 7% FOMC June 2023 forecasts Percent 6% 5% 4% 2023 2024 2025 Long run Change in real GDP, 4Q to 4Q 1.0 1.1 1.8 1.8 Unemployment rate, 4Q 4.1 4.5 4.5 4.0 PCE inflation, 4Q to 4Q 3.2 2.5 2.1 2.0 3% 2.5% 2% 1% 0% '00 '02 '04 Federal funds rate 25 '06 '08 '10 Market expectations on 30/06/23 '12 '14 '16 FOMC year-end estimates '18 '20 '22 FOMC long-run projection Source: Bloomberg, FactSet, U.S. Federal Reserve, J.P. Morgan Asset Management. Market expectations are derived from market implied policy rates as of 30/06/23. Federal Reserve projections shown are the median estimates of Federal Open Market Committee (FOMC) participants. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '24 '26 Long run United States: Federal Reserve balance sheet GTM ASIA 26 The Federal Reserve balance sheet Global economy USD trillions 10 Balance sheet expansion under rounds of quantitative easing (QE), USD billions 9 8 7 Announced Terminated Length (m) Treasuries MBS** Loans*** Balance sheet QE1 25/11/08 31/03/10 16 300 1,074 0 1,403 QE2 03/11/10 29/06/12 19 829 -196 0 568 QE3 13/09/12 29/10/14 25 822 874 0 1,674 QE4 23/03/20 15/03/22 24 3,286 1,343 62 4,779 Forecast* Loans 6 5 Other 4 MBS 3 2 Treasuries 1 0 26 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 Source: FactSet, Federal Reserve, J.P. Morgan Investment Bank, J.P. Morgan Asset Management. At its peak, the balance sheet contained $5.7tn in Treasuries and $2.7tn in MBS. *The forecast assumes the Federal Reserve begins balance sheet runoff in mid-May and gradually increases the monthly cap on maturing Treasury and MBS securities per meeting until a max cap of $100bn/month. The forecast does not include the active selling of securities from the committee. **MBS stands for mortgage-backed-securities.***Loans include liquidity and credit extended through corporate credit facilities established in March 2020, as well as new deposit facility for regional banks in 2023. Other includes primary, secondary and seasonal loans, repurchase agreements, foreign currency reserves and maiden lane securities. Forecasts are not a reliable indicator of future performance. Forecasts, projections and other forward-looking statements are based upon current beliefs and expectations. They are for illustrative purposes only and serve as an indication of what may occur. Given the inherent uncertainties and risks associated with forecasts, projections or other forward-looking statements, actual events, results or performance may differ materially from those reflected or contemplated. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '23 '24 '25 Eurozone: Economic monitor GTM ASIA 27 Eurozone economic indicators Percentile rank relative to historic data since 1999 Global economy Financial conditions Consumer and services Manufacturing Labor market 100 Key: Elevated recession risk 90 Lower recession risk 80 70 60 6 months prior 50 Latest 40 30 20 10 Higher recession risk 0 Bloomberg financial conditions 27 Consumer confidence Services PMI: Business expectations Manufacturing PMI: New orders Unemployment Source: Bloomberg, European Commission, Eurostat, FactSet, S&P Global, J.P. Morgan Asset Management. Elevated recession risk flags are shown when the underlying indicator is at a level consistent with eurozone recessions prior to the COVID-19 recession. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Eurozone: Economic snapshot GTM ASIA 28 Eurozone activity Consumer Price Index (CPI) components contribution Global economy Year-over-year change 40% 30% 10% 20% 8% 10% 6% 0% 4% -10% 2% -20% 0% -30% '00 '02 '04 Retail sales 28 Year-over-year change, seasonally adjusted 12% '06 '08 '10 '12 '14 '16 '18 '20 Exports Source: Eurostat, FactSet, J.P. Morgan Asset Management; (Right) European Commission. *Core rate is inflation ex food and energy. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '22 -2% '20 '21 Core rate* Food, alcohol, tobacco '22 '23 Energy Japan: Economic snapshot GTM ASIA 29 Component contribution to GDP Japan core inflation and wage growth Global economy Year-over-year change 8% Year-over-year change 6% 6% 4% 4% 2% 2% 0% 0% -2% -4% -6% -8% -10% Contribution 1Q23 Consumption 1.40 Investment 0.40 Government 0.20 Net Exports -0.70 Mar Jun Sep Dec Mar Jun Sep Dec Mar Jun Sep Dec Mar '20 '20 '20 '20 '21 '21 '21 '21 '22 '22 '22 '22 '23 -2% -4% -6% '00 '02 '04 '06 '08 '10 Inflation ex-food and energy 29 '12 '14 '16 '18 '20 Nominal wage growth (3-month moving average) Source: FactSet, J.P. Morgan Asset Management; (Left) Japanese Cabinet Office; (Right) Japan Ministry of Health, Labor and Welfare, Japan Ministry of Internal Affairs and Communications. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '22 Global and Asia equity market returns Equities 10-yrs ('13 - '23) Ann. Ret. Ann. Vol. 2022 2Q '23 YTD '23 U.S. ASEAN India Taiwan U.S. China A 45.2% 28.7% -4.1% 12.4% 20.4% 12.9% 24.2% China A Taiwan Taiwan India U.S. U.S. Taiwan China -7.3% 37.2% 42.0% 26.8% -7.5% 8.7% 16.9% 12.2% 23.2% India Taiwan U.S. China A India Europe Japan Korea India Korea 9.2% 38.8% -8.2% 31.5% 38.4% 26.7% -14.5% 6.4% 14.6% 9.0% 21.7% APAC ex-JP 37.3% ASEAN Europe China Europe Japan Taiwan Europe Europe India -2.3% APAC ex-JP 7.1% -8.4% 24.6% 29.7% 17.0% -16.3% 4.8% 14.2% 6.3% 19.8% China India ASEAN China A Japan China Korea Japan China A Taiwan 4.2% 8.3% -6.1% 6.2% 32.6% -12.6% 23.7% APAC ex-JP 22.8% 4.5% 13.2% 6.2% 19.4% China ASEAN Korea Japan ASEAN Japan 4.0% 6.4% -6.3% 2.7% 30.1% APAC ex-JP -13.7% 20.1% APAC ex-JP 3.7% APAC ex-JP 3.1% China China Taiwan Europe -7.6% 1.1% 28.5% -14.3% 2019 2020 U.S. Taiwan Korea 54.3% -4.4% 37.7% U.S. Korea India 2.4% 12.0% 47.8% U.S. U.S. Korea 26.0% 13.7% 1.4% Taiwan Taiwan Europe 9.8% 10.1% Korea 2014 2015 2016 2017 U.S. China A Japan Taiwan China 32.4% 52.1% 9.9% 19.6% Japan India China A 27.3% 23.9% Europe 2013 30 GTM ASIA 30 China A Japan -2.6% -3.7% APAC ex-JP -9.1% India Europe -3.8% 2018 APAC ex-JP 19.5% 2021 2.0% APAC ex-JP -17.2% U.S. ASEAN U.S. Europe India Japan 18.4% 0.2% -18.1% 3.1% 5.3% 5.6% India China A China 15.9% -1.0% -21.8% APAC ex-JP -0.9% APAC ex-JP 3.2% APAC ex-JP 4.8% China A ASEAN ASEAN Korea ASEAN -26.5% -4.5% -1.7% 4.7% 15.7% Japan APAC ex-JP 16.6% Europe 16.4% Europe Europe China Korea Japan 0.2% 26.2% -18.7% 13.1% 14.9% APAC ex-JP -2.7% Taiwan India Japan Korea ASEAN Europe Korea Korea China A China A China U.S. -5.7% -11.0% -1.4% 24.4% -20.5% 8.8% 5.9% -7.9% -28.9% -9.2% -3.9% 3.2% 14.9% ASEAN Korea ASEAN China A U.S. China A India ASEAN China Taiwan China China ASEAN Japan -4.5% -10.7% -18.4% -15.2% 21.8% -27.6% 7.6% -6.2% -21.6% -29.1% -9.6% -5.4% 0.0% 13.8% Source: FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Returns are total returns in U.S. dollars based on MSCI indices, except the U.S., which is the S&P 500, and China A, which is the CSI 300 index in U.S. dollar terms. China return is based on the MSCI China index. 10-yr total (gross) return data is used to calculate annualized returns (Ann. Ret.) and annualized volatility (Ann. Vol.) and reflect the period 30/06/13 – 30/06/23. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Global equities: Return composition GTM ASIA 31 Sources of global equity returns* Total return, USD 30% 2022 2023 YTD 13.2% 16.9% 20% 14.2% Equities 10% 5.1% 3.2% 0% -10% -20% -17.2% -30% -14.5% -40% Europe -19.7% U.S. EM -16.3% Japan Multiple expansion** 31 -18.1% Asia Pacific ex-Japan EPS growth outlook*** Dividend yield Europe Currency return Japan Asia Pacific ex-Japan Total return Source: FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. *All return values are MSCI Gross Index (official) data, except the U.S., which is the S&P 500. **Multiple expansion is based on the forward price-to-earnings ratio. ***Earnings per share (EPS) growth outlook is based on next 12-month aggregate (NTMA) earnings estimates. Diversification does not guarantee positive returns or eliminate risk of loss. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. U.S. EM Global equities: Earnings expectations Earnings growth Earnings revisions ratios Earnings per share, year-over-year change, consensus estimates Net earnings revisions to consensus estimates, 12-week moving average 80% 25% 20% 19% 18.2% 14% 15% GTM ASIA 32 60% 40% Equities 12% 10% 5% 7% 6% 5% 4% 20% 8% 0% 3% 1% 0% -20% -5% -40% -5.2% -10% -8.9% -9% -60% -11% -15% U.S. 2022 32 Europe 2023 2024 Japan Asia Pacific ex-Japan EM -80% '20 '21 U.S. Europe '22 Asia Pacific ex-Japan Source: FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Asia Pacific ex-Japan, emerging markets (EM), Europe and U.S. equity indices used are the MSCI AC Asia Pacific ex-Japan, MSCI Emerging Markets, MSCI Europe and S&P 500, respectively. Consensus estimates used are calendar year estimates from FactSet. Revisions are based on the current unreported year. Net earnings revisions is (number of companies with upward earnings revisions minus number of companies with downward earnings revisions) divided by the number of total companies. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '23 Japan Global equities: Valuations GTM ASIA 33 Equity market valuations – Price-to-earnings Forward P/E ratios 41.3 30x 19.3 20x Equities 21.8 16.3 13.3 10x 0x 35.8 15-yr. range 15-yr. average Latest AC World S&P 500 Europe ex-UK 13.5 Asia Pac ex-Japan ASEAN China A 14.9 10.2 12.0 Emerging markets 14.5 13.0 13.5 12.4 China Hong Kong India Indonesia Japan 16.3 14.2 Korea 13.2 Malaysia 12.6 Philippines 17.2 11.7 Singapore Taiwan Thailand Equity market valuations – Price-to-book Trailing P/B ratios 15-yr. range 15-yr. average Latest 5x 4x 3x 4.0 3.4 2.6 2x 1.9 2.4 1.6 1.6 1.6 1.3 1x 0x 33 AC World S&P 500 Europe ex-UK Asia Pac ex-Japan Emerging markets ASEAN 2.3 1.6 China A China 1.3 1.0 Hong Kong India Indonesia Japan 1.0 Korea 1.7 1.3 Malaysia 1.8 1.3 Philippines Source: China Securities Index, FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Emerging markets is represented by the MSCI Emerging Markets Index. China A is represented by the CSI 300 Index. Price-to-earnings (P/E) and price-to-book (P/B) ratios are in local currency terms. 15-year range for P/E and P/B ratios are cut off to maintain a more reasonable scale for some indices. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Singapore Taiwan Thailand Global equities: Growth versus value Growth vs. value valuations* MSCI World growth / value fwd. P/E ratio, # of std. dev.** over / under average 3 2 GTM ASIA 34 Trailing 12-months earnings per share Indexed, Dec 2004 = 100 350 300 Growth expensive relative to value Equities 250 1 200 0 150 -1 100 -2 Growth cheap relative to value -3 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 50 0 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 MSCI World Growth 34 MSCI World Source: J.P. Morgan Asset Management; (Left) FactSet, MSCI; (Right) Bloomberg. *Growth is the MSCI World Growth index and value is the MSCI World Value index. **Std. dev. is standard deviation, which is a measure of dispersion relative to the mean. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. MSCI World Value APAC ex-Japan equities: Earnings expectations by market and sector GTM ASIA 35 Earnings growth by market Earnings per share, year-over-year change, consensus estimates 80% 66.9% 60% 36.5% 40% 20% 0% -20% 6.1% 0.6% 30.1% 26.1% 4.4% 8.6% 10.3% 9.1% -5.8% 12.6% 12.5% -5.2% -9.6% -27.3% Equities -40% -60% 24.3% 18.2% 18.0% 17.8% 12.5% 12.9% 14.5% Australia 2023 Singapore Malaysia Philippines Indonesia Thailand Hong Kong China India 2024 Asia Pacific ex-Japan Taiwan -39.0% Korea Earnings growth by sector Earnings per share, year-over-year change, consensus estimates 60% 40% 18.7% 20% 9.4% -20% -13.3% -40% -45.3% Information technology 2023 35 15.6% 5.8% 0% -60% 343.5% 59.7% -12.8% 0.2% 9.3% 23.4% 7.1% 36.7% 11.1% 7.2% 20.6% 37.6% 40.9% 19.5% -1.9% -31.5% Industrials Materials Energy Consumer staples Real estate Health care Financials Communication Consumer services discretionary 2024 Source: FactSet, MSCI, J.P. Morgan Asset Management. Consensus estimates used are calendar year estimates from FactSet. (Top) Equity indices used are the respective MSCI indices. (Bottom) Sector indices used are from the MSCI AC Asia Pacific ex-Japan Index. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Utilities APAC ex-Japan equities: Performance drivers APAC ex-JP price-to-book* and subsequent returns GTM ASIA 36 APAC ex-JP / DM equity performance and USD index Relative index level, Dec. 1997 = 100 250 120% Index level 40 Equities Current level 80% 200 60 40% 150 80 0% 100 100 -40% 50 120 -80% 0.8 1.2 1.6 2.0 2.4 2.8 0 '98 '00 '02 '04 '06 '08 '10 '12 '14 MSCI APAC ex-JP / MSCI World (DM) 36 Source: FactSet, MSCI, J.P. Morgan Asset Management; (Left) J.P. Morgan Economic Research. *Price-to-book ratio used here is trailing 12-months price-to-book ratio. Dots represent monthly data points since 1996. DM = Developed markets. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '16 '18 '20 '22 USD Index (inverted) 140 37 Telecom Utilities Tech. APAC exJP APAC ex-JP Weights 22.6% 3.7% 5.0% 5.2% 12.7% 7.0% 8.5% 4.0% 8.5% 2.4% 20.4% 100% YTD '23 0.6% -7.0% -7.2% -1.7% -4.9% 4.5% 2.7% 5.0% 4.1% -10.6% 20.7% 3.2% 2022 -4.1% -15.3% -20.2% -10.5% -20.7% -14.0% -4.0% 8.4% -28.7% -8.4% -33.0% -17.2% 0.83 -0.30 0.84 0.78 0.41 0.16 0.95 0.56 0.40 0.31 0.97 0.87 2023 earnings growth 11.1% 0.2% 7.1% -1.9% 37.6% -31.5% -13.3% -12.8% 36.7% 343.5% -45.3% -5.2% 2024 earnings growth 7.2% 9.3% 23.4% 15.6% 19.5% 18.7% 9.4% 5.8% 20.6% 40.9% 59.7% 18.2% Forward P/E Ratio 8.9x 11.1x 30.2x 22.4x 14.8x 13.3x 12.6x 9.9x 19.5x 14.1x 20.2x 13.5x 10-yr avg. 10.1x 10.6x 28.7x 21.1x 16.5x 13.6x 12.9x 12.0x 18.8x 14.5x 14.2x 13.2x Trailing P/B Ratio 1.1x 0.7x 3.9x 3.5x 2.1x 1.2x 1.7x 1.2x 2.6x 1.3x 2.2x 1.6x 10-yr avg. 1.2x 0.8x 4.9x 3.2x 2.2x 1.3x 1.5x 1.2x 2.5x 1.4x 2.3x 1.6x Dividend Yield 4.1% 4.3% 1.1% 2.3% 1.1% 3.9% 4.7% 5.7% 1.3% 3.8% 2.5% 3.0% 10-yr avg. 3.8% 4.0% 1.1% 2.3% 1.5% 2.5% 3.8% 3.7% 2.7% 3.3% 2.1% 2.8% Correl to S&P 500 sectors and index* Source: FactSet, MSCI, J.P. Morgan Asset Management. EPS refers to earnings per share, P/E ratio refers to price-to-earnings ratio and P/B ratio refers to price-to-book ratio, returns are in U.S. dollar terms. *Correlation (p) to S&P 500 sectors and index are based on the correlation between the S&P 500 index and MSCI Asia Pacific exJapan index and S&P 500 sectors relative to the corresponding MSCI AC Asia Pacific ex-Japan sectors. Past performance is not indicative of current or future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Weights Energy Return Industrials Materials p Cons. Discr. EPS Cons. Staples P/E Health Care 37 P/B Equities Financials Real Estate GTM ASIA Div APAC ex-Japan equities: Returns and valuations by sector APAC ex-Japan equities: Earnings trend by revenue source and exports Domestic vs. export-oriented Asian companies* GTM ASIA 38 Growth in nominal exports and earnings per share MSCI AC Asia Pacific ex-Japan, earnings per share, Jan. 2010 = 100 450 USD, year-over-year change 80% 400 60% 350 Equities 40% 300 20% 250 200 0% 150 -20% 100 0 38 -40% More than 95% of revenue derived domestically Between 70% and 95% of revenue derived domestically Less than 70% of revenue derived domestically 50 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 MSCI APAC ex-JP earnings per share '22 '23 -60% EM Asia ex-China exports** '01 '03 '05 '07 '09 '11 '13 Source: J.P. Morgan Asset Management; (Left) FactSet, MSCI; (Right) CEIC, national statistics agencies. Earnings per share (EPS) used is next 12 months’ aggregate estimate. *Universe of stocks within the MSCI AC Asia Pacific ex-Japan index are split into three buckets depending on their revenue exposure to their domestic market. Over the time period examined (29/01/10 – 30/06/23), monthly adjustments are made to the buckets to reflect changes in a company's operations over time. Subsequently, EPS for each bucket is calculated by summing the market value-weighted EPS for each company on a monthly basis over the examined period. Each EPS series is then indexed to 100 on 29/01/10. **EM Asia ex-China includes Hong Kong, Korea, Malaysia, Singapore, Taiwan, Thailand and Vietnam. Overall exports aggregate is gross domestic product (GDP)-weighted. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '15 '17 '19 '21 '23 APAC ex-Japan equities: Export and revenue exposure by geography GTM ASIA 39 Asian economies’ export exposure to U.S. and European Union Equities Value of exports to U.S. and European Union as a share of nominal GDP, USD 40% 35% 30% 25% 20% 15% 10% 5% 0% Vietnam Singapore 2001 2008 Malaysia Thailand Korea Philippines Japan India Indonesia New Zealand Australia China 2022 Geographic revenue exposure Revenue exposure of MSCI indices 100% 80% 60% 40% 20% 0% Indonesia China Local domestic 39 Philippines China Thailand Elsewhere in Asia India Malaysia Americas New Zealand Europe Japan Singapore Africa and Middle East Source: FactSet, J.P. Morgan Asset Management; (Top) IMF Direction of Trade Statistics, Oxford Economics; (Bottom) MSCI. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Australia Hong Kong Korea Taiwan APAC ex-Japan equities: Dividends GTM ASIA 40 APAC ex-JP earnings and dividends growth estimates Number of companies yielding greater than 4% by region Year-over-year change 70% Constituents of various MSCI Indices 240 60% 220 50% 200 180 Equities 40% 160 30% 140 20% 120 10% 100 0% 80 -10% 60 -20% 40 -30% 20 -40% 0 -50% '03 '05 '07 '09 '11 '13 '15 MSCI APAC ex-JP earnings per share MSCI APAC ex-JP dividends per share 40 '17 '19 '21 '23 Asia Pacific ex-Japan Financials Utilities Europe Real Estate Industrials Emerging markets exAsia Energy Others* Source: FactSet, MSCI, J.P. Morgan Asset Management. *Others include Communication Services, Consumer Discretionary, Consumer Staples, Health Care and Materials. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. U.S. Japan Information technology China: Sector earnings and valuations MSCI China earnings growth estimates MSCI China price-to-earnings 50% 70x 40% 60x Earnings per share, year-over-year change, consensus estimates Forward P/E ratios Equities 30% 15-yr. range 15-yr. average Latest 50x 20% 40x 10% 30x 0% 20x 2023 Industrials MSCI China Utilities Materials Comm. Serv. Cons. Staples Cons. Discr. Health Care 6.2 Real Estate 3.0 Financials Sector Weight (%) Tech. -20% Energy -10% 41 GTM ASIA 16.3 3.2 5.6 100.0 2.6 3.4 20.4 5.8 29.5 5.6 2024 2023 estimate three months ago 10x 0x 2024 estimate three months ago Source: FactSet, MSCI, J.P. Morgan Asset Management. Tech refers to Technology; Cons. Staples refers Consumer Staples; Comm. Services refers to Communication Services; Cons. Discr. refers to Consumer Discretionary. Consensus estimates used are calendar year estimates from FactSet. Past performance is not a reliable indicator of current and future results. *Data for the forward price-to-earnings ratio in the real estate and health care sectors begin from 30/09/16 and 30/06/09, respectively. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 41 India: Sector earnings and valuations MSCI India earnings growth estimates GTM ASIA 42 MSCI India price-to-earnings Earnings per share, year-over-year change, consensus estimates 80% Forward P/E ratios 70x 70% 60x 60% Equities 50% 15-yr. range 15-yr. average Latest 50x 40% 40x 30% 20% 30x 10% 20x 2023 42 2024 Industrials Cons. Discr. Comm. Serv. 9.8 Materials Cons. Staples Energy 11.8 Financials 13.2 Health Care 3.6 MSCI India Sector Weight (%) Tech. -10% Utilities 0% 100.0 5.1 26.7 8.8 6.3 11.1 2.8 2023 estimate three months ago 10x 0x 2024 estimate three months ago Source: FactSet, MSCI, J.P. Morgan Asset Management. Tech refers to Technology; Cons. Staples refers Consumer Staples; Comm. Services refers to Communication Services; Cons. Discr. refers to Consumer Discretionary. Consensus estimates used are calendar year estimates from FactSet. *The communication services sector reached a historic maximum of 2,099x and a historic minimum of -1,782x. Data for MSCI India real estate sector is unavailable. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Japan: Corporate governance and valuations TOPIX share buyback announcements* and net profit margins Number of companies 300 Net profit margin 7% 6% 250 MSCI Japan price-to-book Trailing P/B ratios 3.5x 15-yr. range 15-yr. average Latest 3.0x 2.5x 5% Equities GTM ASIA 43 200 4% 150 2.0x 1.5x 1.0x 3% 0.5x 43 '19 '20 '21 '22 '23 Net profit margins 0% Less than P/B 1.0x** 100.0 100.0 87.0 (% ) Health Care '18 Tech. Number of companies announcing share buybacks '17 Cons. Staples '16 Comm. Services '15 Industrials '14 MSCI Japan '13 Cons. Discr. '12 Materials '11 Real Estate 0 1% Financials 50 0.0x Utilities 2% Energy 100 35.7 62.5 35.5 35.0 33.3 13.3 0.0 20.6 0.0 Source: J.P. Morgan Asset Management; (Left) Bank of America Global Research, Bloomberg, QUICK, TOPIX; (Right) FactSet, MSCI. Cons. Discr. refers to Consumer Discretionary, Comm. Services refers Communication Services, Cons. Staples refers to Consumer Staples, Tech refers to Technology. *Share buybacks during the period of April and May since Japanese companies tend to announce capital management-related share buyback plans following the release of full-year fiscal year financial results in March. **Percentage of companies with a valuation of less than 1.0x price-to-book ratio is calculated based on the number of constituents. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Europe: Sector earnings and valuations MSCI Europe earnings growth estimates GTM ASIA 44 MSCI Europe price-to-earnings Earnings per share, year-over-year change, consensus estimates Forward P/E ratios 35x 40% 30% 30x 15-yr. range 15-yr. average Latest 20% 25x Equities 10% 20x 0% -10% 15x -20% 2023 44 2024 2023 estimate three months ago 3.1 11.7 15.0 Tech. 16.9 100.0 12.4 Health Care Cons. Staples MSCI Europe Financials Materials 6.8 Industrials 4.3 Cons. Discr. 0.7 Utilities Real Estate 5.5 Comm. Services Sector Weight (%) Energy -30% 10x 15.3 6.8 5x 0x 2024 estimate three months ago Source: FactSet, J.P. Morgan Asset Management. Tech refers to Technology; Cons. Staples refers Consumer Staples; Comm. Services refers to Communication Services; Cons. Discr. refers to Consumer Discretionary. *Data for the forward price-to-earnings ratio in the real estate sector begins 30/09/16. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Sector earnings and valuations S&P 500 earnings growth estimates GTM ASIA 45 S&P 500 price-to-earnings Earnings per share, year-over-year change, consensus estimates Forward P/E ratios 60x 30% 20% 50x 15-yr. range 15-yr. average Latest 10% Equities 40x 0% 30x -10% 20x 2023 45 2024 12.1 100.0 2023 estimate three months ago 27.7 8.3 Cons. Discr. 8.3 Comm. Services Tech. S&P 500 13.2 Financials 6.7 Industrials 2.6 Health Care 2.5 Utilities 2.5 Cons. Staples 4.0 Materials Sector Weight (%) Real Estate -30% Energy -20% 10x 0x 10.5 2024 estimate three months ago Source: FactSet, Standard & Poor’s, J.P. Morgan Asset Management. Tech refers to Technology; Cons. Staples refers Consumer Staples; Comm. Services refers to Communication Services; Cons. Discr. refers to Consumer Discretionary. *The energy sector reached a historic maximum of 1,160x and a historic minimum of -491x. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Sources of earnings per share growth GTM ASIA 46 S&P 500 year-over-year operating EPS growth Annual growth broken into revenue, changes in profit margin & changes in share count 80% Share of EPS growth Margin Revenue Share count Total EPS 60% 47% 2023* 8.1% 2.4% 0.2% 10.8% 70% Avg. '01-'22 4.1% 4.0% 0.3% 8.4% Equities 40% 19% 19% 20% YTD 15% 24% 13% 17% 15% 15% 11% 0% 22% 11% 6% 5% 4% 0% -11% -6% -20% -5% -22% -40% -60% 46 -31% -40% '01 '03 '05 '07 '09 '11 '13 '15 '17 Source: Compustat, FactSet, Standard & Poor’s, J.P. Morgan Asset Management. EPS levels are based on annual operating earnings per share. *2023 earnings figures are based on weekly operating earnings estimates from Standard & Poor’s. Percentages may not sum due to rounding. Past performance is not indicative of future returns. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '19 '21 '23 United States: Earnings and rate hikes S&P 500 performance around the last rate hike in the cycle Price returns six months after the final rate hike in the cycle Equities 120 110 100 90 -252 -210 -168 -126 1984 47 1989 -84 -42 1995 0 42 Days 2000 84 2006 126 168 210 47 S&P 500 sector performance S&P 500 indexed to 100 at date of last rate hike 130 80 GTM ASIA 1995 2000 2006 2018 Health Care 19.4% 10.8% 11.2% -1.7% Consumer Staples 15.7% 17.6% 7.7% -2.6% Utilities 5.5% 19.0% 14.5% -2.9% Communication Services 9.4% -20.7% 16.9% -7.2% Information Technology 47.0% -25.4% 13.4% 22.9% Energy 14.6% 0.8% 7.7% 0.8% Financials 21.0% 11.9% 13.7% -4.3% Real Estate* - - 20.5% -17.4% Consumer Discretionary 15.6% -18.5% 14.9% 8.4% Industrials 21.9% 0.6% 5.0% -6.3% Materials 23.0% -17.9% 10.0% 11.9% 252 2018 Source: FactSet, Standard & Poor’s, U.S. Federal Reserve, J.P. Morgan Asset Management. *Price return data for the real estate sector begins in 09/10/01. Past performance is not indicative of future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. United States: Bull and bear markets GTM ASIA 48 S&P 500 Composite declines from all-time highs 0% -20% 4 -40% 5 3 2 Equities -80% Recessions 1 -100% 1926 1931 1936 1941 1946 Characteristics of bull and bear markets 1 2 3 4 5 6 7 8 9 10 11 12 11 9 6 -60% 48 20% Market 12 Decline 8 7 1951 1956 1961 1966 Bear markets* Bear Duration Mkt. Peak return (mths) (%) Market corrections Crash of 1929 09/1929 -86 32 1937 Fed tightening 03/1937 -60 61 Post WWII crash 05/1946 -30 36 Flash crash of 1962. Cuban Missile Crisis 12/1961 -28 6 Tech crash of 1970 11/1968 -36 17 Stagflation. OPEC oil embargo 01/1973 -48 20 Volcker tightening 11/1980 -27 20 1987 crash 08/1987 -34 3 Tech bubble 03/2000 -49 30 Global financial crisis 10/2007 -57 17 Coronavirus pandemic 02/2020 -34 1 Stagflation worries 01/2022 -25 9 Averages -43 22 1971 1976 1981 1986 1991 1996 2001 Macro environment P/E trough 9.6x 13.8x 10.2x 13.3x 15.3x Recession Commodity spike Aggressive Fed Extreme valuations 2006 2011 2016 Bull markets Bull Bull begin Duration return date (mths) (%) 07/1926 152 37 03/1935 129 23 04/1942 158 49 10/1960 39 13 10/1962 103 73 05/1970 74 31 03/1978 62 32 08/1982 229 60 10/1990 417 113 10/2002 101 60 03/2009 401 131 03/2020 114 21 165 54 Source: FactSet, NBER, Robert Shiller, Standard & Poor’s, J.P. Morgan Asset Management.*A bear market represents a 20% or more decline from the previous market high using a monthly frequency. Periods of recession are defined using the NBER’s business cycle dates. Commodity spike is defined by a significant upward movement in oil prices. Periods of extreme valuation are defined as periods where the forward P/E multiple on the S&P 500 were approximately two standard deviations above the longrun average. Aggressive Fed tightening is defined as Federal Reserve monetary tightening that was unexpected and/or significant in magnitude. Peak and trough price-toearnings ratios quoted are next 12 months forward P/Es. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 2021 P/E Peak 15.2x 24.7x 15.1x 19.1x 21.6x Global fixed income returns Fixed income 2013 2015 2016 2017 2018 2019 2020 2021 2022 2Q '23 YTD '23 10-yrs ('13 - '23) Ann. Ret. Ann. Vol. U.S. HY USD Asian Asia HY U.S. HY Local EMD Cash U.S. IG U.S. IG U.S. HY Cash Local EMD Local EMD U.S. HY Local EMD 7.4% 8.3% 5.2% 17.1% 15.2% 1.8% 14.5% 9.9% 5.3% 1.5% 2.5% 7.8% 4.4% 11.4% DM Gov't Cash USD Asian U.S. HY U.S. HY USD Asian Asia HY 9.7% 0.0% -11.0% 1.7% 5.4% 3.0% 10.1% USD EMD 3.8% Asia HY U.S. IG USD Asian Asia HY 2.0% 7.5% 2.8% 11.2% Cash Asia HY U.S. MBS 0.0% 6.1% 1.5% USD EMD 10.2% USD EMD 9.3% U.S. MBS 1.0% 7.5% U.S. Treas 0.9% Local EMD Asia HY 9.9% USD EMD 14.4% 14.3% U.S. Treas 8.0% DM Gov't Local EMD U.S. HY U.S. MBS Local EMD Cash U.S. IG 6.9% -0.7% 13.5% 7.1% -1.0% -11.7% 1.2% 3.2% USD EMD 2.6% U.S. HY U.S. HY U.S. IG U.S. HY -1.0% -11.2% USD EMD 1.5% U.S. IG 2.6% USD EMD 8.6% USD Asian U.S. MBS -1.4% 6.1% USD EMD 1.2% U.S. MBS USD EMD U.S. Treas U.S. IG DM Gov't USD Asian Asia HY USD Asian USD EMD U.S. MBS USD Asian USD Asian Asia HY U.S. IG -1.4% 5.5% 0.8% 6.1% 6.8% -0.8% 12.8% 6.3% -1.5% -11.8% 0.4% 2.9% 2.2% 6.4% U.S. IG U.S. Treas Cash USD Asian U.S. IG U.S. HY USD Asian USD EMD U.S. Treas U.S. Treas U.S. IG Cash U.S. MBS DM Gov't -1.5% 5.1% 0.0% 5.8% 6.4% -2.1% 11.3% 5.9% -2.3% -12.5% -0.3% 2.3% 1.1% 6.0% U.S. HY U.S. IG U.S. MBS USD Asian U.S. IG Asia HY USD Asian Asia HY U.S. MBS Asia HY Cash USD Asian 2.5% -0.7% 1.7% 5.8% -2.5% U.S. Treas 6.9% 4.9% -2.4% -15.1% -0.6% 2.0% 1.0% 4.9% DM Gov't DM Gov't DM Gov't DM Gov't U.S. MBS Asia HY U.S. MBS U.S. MBS DM Gov't U.S. IG Asia HY U.S. MBS -4.5% 0.7% -2.6% 1.6% 2.5% -3.2% 6.4% 3.9% -6.5% -15.8% -1.0% 1.9% U.S. Treas 1.0% U.S. Treas 4.4% Cash U.S. HY USD EMD -4.6% Local EMD Local EMD 2.7% -8.7% U.S. Treas -1.4% U.S. Treas 1.6% U.S. MBS 6.0% USD EMD -16.5% DM Gov't -4.5% U.S. Treas 2.3% DM Gov't 0.0% U.S. Treas 1.0% -0.3% 1.8% Local EMD Local EMD Local EMD Cash Cash Local EMD Cash Cash Asia HY DM Gov't DM Gov't DM Gov't Local EMD Cash -9.0% -5.7% -14.9% 0.3% 0.8% -6.2% 2.2% 0.5% -11.0% -17.2% -2.2% 0.8% -0.6% 0.4% U.S. Treas -2.7% USD EMD -6.6% 49 2014 GTM ASIA 49 Source: Bloomberg, FactSet, J.P. Morgan Economic Research, J.P. Morgan Asset Management. Based on Bloomberg U.S. Aggregate Credit – Corporate High Yield Index (U.S. HY), Bloomberg U.S. Aggregate Credit – Corporate Investment Grade Index (U.S. IG), J.P. Morgan Government Bond Index – EM Global Diversified (GBI-EM Div.) (Local EMD), J.P. Morgan Emerging Market Bond Index Global (EMBIG) (USD EMD), J.P. Morgan Asia Credit Index (JACI) (USD Asian Bond), Bloomberg U.S. Aggregate Securitized - MBS (U.S. MBS), J.P. Morgan Government Bond Index – Global Traded (DM Government Bond), J.P. Morgan Asia Credit High Yield Index (Asia HY), Bloomberg Global U.S. Treasury – Bills (3-5 years) (U.S. Treasury) and Bloomberg U.S. Treasury – Bills (1-3 months) (Cash). 10-year data is used to calculate annualized returns (Ann. Ret.) and annualized volatility (Ann. Vol.). Returns are in U.S. dollars and reflect the period from 30/06/13 to 30/06/23. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. U.S. HY 7.5% Global fixed income: Yields and duration GTM ASIA 50 Fixed income yields Yield to maturity 15% Developed market government bonds 13% Investment-grade bonds High yield bonds Asia & emerging market bonds 11% 9% Fixed income 7% 5% 3% 1% Duration (years) -1% 4.5 -3% Japan Germany U.S. 10y 10y 10y 6.1 Europe U.S. IG MBS 6.1 7.1 2.8 5.2 Global IG U.S. IG U.S. ABS Asia IG 3.1 3.5 Europe U.S. HY HY 3.5 5.1 5.0 5.2 7.0 4.2 Global HY Asia HY Local EMD USD Asia Credit USD EMD USD China Offshore Credit Yield to maturity on 31/12/21 50 Source: Bloomberg, FactSet, ICE BofA Merrill Lynch, J.P. Morgan Economic Research, J.P. Morgan Asset Management. Based on Bloomberg U.S. Aggregate Credit – Corporate Investment Grade Index (U.S. IG), Bloomberg Euro Aggregate Credit – Corporate (Europe IG), J.P. Morgan Asia Credit Investment Grade Index (Asia IG), Bloomberg Global Aggregate – Corporate (Global IG), Bloomberg U.S. Aggregate Credit – Corporate High Yield Index (U.S. HY), Bloomberg U.S. Aggregate Securitized – Asset Backed Securities (U.S. ABS), Bloomberg U.S. Aggregate Securitized – Mortgage Backed Securities (U.S. MBS), Bloomberg Pan European High Yield (Europe HY), J.P. Morgan Asia Credit High Yield Index (Asia HY), ICE BofA Global High Yield (Global HY), J.P. Morgan GBI-EM Global Diversified (Local EMD), J.P. Morgan EMBI Global (USD EMD), J.P. Morgan Asia Credit Index (JACI) (USD Asia Credit), J.P. Morgan Asia Credit China Index (USD China Offshore Credit). Duration is a measure of the sensitivity of the price (the value of the principal) of a fixed income investment to a change in interest rates and is expressed as number of years. Spread durations are shown for Asia IG, Asia HY, USD EMD, USD Asia Credit and USD China Offshore Credit. Rising interest rates mean falling bond prices, while declining interest rates mean rising bond prices. Yields are not guaranteed, positive yield does not imply positive return. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Global fixed income: Interest rate sensitivity GTM ASIA 51 Impact of a 1% rise or fall in interest rates Total return, assumes a parallel shift in the yield curve 28% 1% fall 23.5% 24% 1% rise 20% 15.1% 16% 12% 13.1% 11.6% 10.8% 11.3% 12.3% 12.0% 8.7% Fixed income 8% 5.0% 4% 1.2% 1.5% -4% 6.8% 5.8%5.9% 3.0% 2.4% 0.3% 0% -1.3% 9.3% -0.2% -1.2% -3.9% -8% -12% -16% 51 -11.6% U.S. MBS U.S. IG USD EMD Local EMD USD Asia Credit U.S. HY U.S. Floating Rate 30y UST 10y UST 5y UST Source: Barclays, Bloomberg, FactSet, J.P. Morgan Economics Research, J.P. Morgan Asset Management. Based on Bloomberg Barclays U.S. Treasury Bellwethers Index (2, 5, 10, 30-year UST), Bloomberg Barclays U.S. Treasury Inflation-Protected Notes Index (TIPS), Bloomberg Barclays U.S. Floating Rate Notes Index (U.S. Floating Rate), Bloomberg Barclays U.S. Aggregate Securitized – MBS Index (U.S. MBS), Bloomberg Barclays U.S. Aggregate Credit – Corporate – Investment Grade Index (U.S. IG), Bloomberg Barclays U.S. Aggregate Credit – Corporate – High Yield Index (U.S. HY), J.P. Morgan Emerging Market Bond Index Global (EMBIG) (USD EMD), J.P. Morgan Asia Credit Index (USD Asia Credit), J.P. Morgan Government Bond Index – EM Global Diversified (GBI-EM) (Local EMD). Past performance is not indicative of current or future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. TIPS 2y UST Global fixed income: Return composition GTM ASIA 52 Debt return composition Last 6 months 9% Fixed income 6% 3% 0% -3% 52 Local EMD sovereigns U.S. high yield Price return Income return USD DM high yield Currency return USD EMD sovereigns USD EMD corporates USD Asia corporates USD Asia high yield USD China offshore credit Total return Source: J.P. Morgan Economics Research, J.P. Morgan Asset Management. Based on J.P. Morgan Asia Credit High Yield Index (USD Asia high yield), J.P. Morgan CEMBI (USD emerging market debt (EMD) corporates), J.P. Morgan EMBI Global (USD EMD sovereigns), J.P. Morgan Asia Credit Corporates Index (USD Asia corporates), J.P. Morgan Asia Credit China Index (USD China offshore credit), J.P. Morgan Developed Market HY Index (USD DM high yield), J.P. Morgan Domestic High Yield Index (U.S. high yield), J.P. Morgan GBI-EM Global Diversified (Local EMD sovereigns), J.P. Morgan GBI-DM (Local DM sovereigns). Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Local DM sovereigns Global fixed income: Valuations GTM ASIA 53 Spread to worst across fixed income sub-sectors Basis points, last 10 years 1,600 10-yr. range 1,400 Latest 10-yr. average 1,200 Fixed income 1,000 984 800 627 600 501 400 434 200 0 53 494 462 154 144 U.S. high yield U.S. investment grade 114 91 Euro high yield Euro investment grade 246 233 USD Asia credit 368 361 331 269 USD China offshore credit USD Asia high yield USD EMD Source: iBoxx, ICE BofA Merrill Lynch, J.P. Morgan Economics Research, J.P. Morgan Asset Management. Based on J.P. Morgan Domestic High Yield Index (U.S. high yield), J.P. Morgan U.S. Liquid Index (JULI) (U.S. investment grade), J.P. Morgan Euro High Yield Index (Euro high yield), iBoxx EUR corporates (Euro investment grade), J.P. Morgan Asia Credit Index (JACI) (USD Asia credit), J.P. Morgan Asia Credit China Index (USD China offshore credit), J.P. Morgan Asia Credit High Yield Index (USD Asia high yield), J.P. Morgan EMBI Global Diversified (USD EMD), J.P. Morgan Corporate Emerging Markets Bond Index – CEMBI (USD EMD corporates). Positive yield does not imply positive return. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 317 295 USD EMD corporates Global fixed income: Government bond yields and expected inflation 10-year government bond yields Market-based inflation expectations 5-year 5-year inflation swap rate 4% 16% 14% U.S. Germany Japan 12% GTM ASIA 54 Average since 1970* 6.0% 5.1% 2.1% Latest 3.8% 2.4% 0.4% 10% 3% 2% Fixed income 8% 1% 6% 4% 0% 2% -1% 0% -2% '70 '75 '80 '85 '90 '95 '00 '05 '10 '15 '20 -2% '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 U.S. 54 Eurozone Japan Source: J.P. Morgan Asset Management; (Left) FactSet, Tullett Prebon; (Right) Bloomberg. *Data begins, and averages calculated from, 01/01/70 for U.S. Treasuries, 02/10/72 for German Bunds and 03/02/86 for Japanese Government Bonds. Past performance is not a reliable indicator of current and future results. Positive yield does not imply positive return. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Global fixed income: Yields and risks GTM ASIA 55 Yields and correlations of fixed income returns to equities Yield, 10-year correlation between monthly total returns 14% 13% USD Asia HY Higher yields 12% 11% Latest yield to maturity Fixed income 10% 9% 8% UK (1-10y) 2y UST 10y UST U.S. MBS U.S. Aggregate U.S. Floating Rate U.S. IG TIPS Local Asia Germany (1-10y) 3% France (1-10y) 2% 1% Stronger correlation to equities Japan (1-10y) 0% -1% -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Correlation to MSCI AC World* Government 55 Europe HY USD EMD corporates Local EMD 6% 4% USD EMD USD Asia Credit 7% 5% U.S. HY USD China offshore credit Credit Emerging Market Government & Credit Source: Bloomberg, FactSet, ICE BofA Merrill Lynch, J.P. Morgan Economics Research, MSCI, J.P. Morgan Asset Management. Based on Bloomberg U.S. Treasury (UST) Bellwether 2y & 10y (2y & 10y UST), Bloomberg Treasury Inflation-Protected Securities (TIPS), ICE BofAML Country Government (1-10y) (France, Germany, Japan & UK (1-10y)), Bloomberg U.S. Aggregate, Credit – Investment Grade & High Yield (U.S. Aggregate, IG & HY), Bloomberg U.S. Floating Rate (U.S. Floating Rate), Bloomberg U.S. Aggregate Securitized – Mortgage-Backed Securities (U.S. MBS), Bloomberg Pan-European High Yield (Europe HY), J.P. Morgan GBI-EM Global Diversified (Local EMD), J.P. Morgan EMBI Global (USD EMD), J.P. Morgan Asia Credit (JACI) (USD Asia Credit), J.P. Morgan Asia Credit (JACI) – High Yield (USD Asia HY), J.P. Morgan Asia Credit China Index (USD China offshore credit), J.P. Morgan CEMBI (USD EMD corporates), J.P. Morgan Asia Diversified (JADE) (Local Asia). *Correlations are based on 10-years of monthly returns. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 0.8 0.9 U.S. real yields GTM ASIA 56 Real 10-year and 2-year U.S. Treasury yields* U.S. 10-year Treasury yield breakdown** 6% 6% 5% 5% 4% 3% 4% 2% 3% Fixed income 1% 0% 2% -1% 1% -2% -3% 0% -4% Recessions -1% -5% -6% '90 '95 10-year Treasury 56 '00 '05 2-year Treasury '10 '15 '20 -2% '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 10-year real yield 10-year nominal yield 10-year inflation breakeven Source: FactSet, Federal Reserve, J.P. Morgan Asset Management; (Right) Tullett Prebon. *Real 10-year and 2-year Treasury yields are calculated as the daily Treasury yields less year-over-year core consumer price index inflation for that month except for June 2023, where real yields are calculated by subtracting May 2023 year-over-year core inflation. **Real yield calculated using 10-year breakeven, which represents the difference in yield between nominal and inflation-protected government bonds and is a market-based measure of average inflation expectations over the next 10 years. Yield is not guaranteed. Positive yield does not imply positive return. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. U.S. investment grade bonds Corporate bond spread Basis points, option-adjusted spread over U.S. Treasury* 700 Average Latest Investment grade 132bps 123bps GTM ASIA 57 U.S. investment grade return decomposition 30% 25% 600 20% 500 Fixed income 400 15% Recessions 10% 5% 300 0% -5% 200 -10% 100 Base*** Spread Total Source: Bloomberg, FactSet, J.P. Morgan Asset Management. *Investment grade is Bloomberg U.S. Aggregate Credit – Corporate Investment Grade Index. **YTD ’23 is year-to-date figures as of 30/06/23 annualized. ***Base returns refer to equivalent-duration U.S. Treasury base rate returns and any residuals. The sum of spread to Treasury returns and Treasury base rate returns equate to bond price returns. The sum of Treasury base rate returns, spread to Treasury returns and coupon returns may not add up to the total returns due to rounding. Past performance is not indicative of current or future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. **YTD '23 '22 '21 '20 '19 '18 '17 '16 '15 '14 '13 '12 '11 '10 '09 '08 '07 '06 '05 '90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20 '22 Coupon 57 '04 '03 '02 0 '01 -20% '00 -15% U.S. high yield bond spreads GTM ASIA 58 High yield spread and default rate* 20% 2,000 HY spread to worst HY energy spread to worst HY default rate HY ex-energy default rate Recessions 16% Fixed income 12% Latest 502bps 434bps 648bps 373bps 2.2% 1.5% 2.4%** 1.6% 1,600 1,200 8% 800 4% 400 0% '90 '95 Default rate 58 10-yr average '00 '05 '10 '15 '20 Spread to worst (basis points) Source: J.P. Morgan Economics Research, J.P. Morgan Asset Management. *Default rate is defined as the percentage of the total market trading at or below 50% of par value and includes any Chapter 11 filing, pre-packaged filing or missed interest payments. Spreads indicated are benchmark yield-to-worst less comparable maturity Treasury yields. **Data reflects 21-year average and is as of 31/12/22. U.S. corporate high yield is represented by the J.P. Morgan Domestic High Yield Index. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 0 U.S. high yield bond fundamentals U.S. high yield leverage measures Recovery rates Net leverage* and interest coverage ratio** Last 12 months (LTM), cents on the dollar recovered*** 70 6.0x 1Q23: 5.7x Fixed income 5.5x LTM 60 5.0x 50 4.5x 40 Long-term average: 41 cents / USD Average: 4.4x 30 4.0x Average: 3.7x 3.5x 1Q23: 3.5x 2.5x 20 10 3.0x '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 Net leverage ratio* 59 GTM ASIA 59 0 1982 1986 1990 1994 1998 2002 2006 2010 2014 2018 2022 Interest coverage ratio** Source: J.P. Morgan Economics Research, J.P. Morgan Asset Management; (Right) AMG Data services. *Net leverage is net debt divided by adjusted earnings before interest, tax, depreciation and amortization (EBITDA). **Interest coverage ratio is EBITDA over interest expense. ***LTM represents latest data as of 31/05/2023. Recoveries are issuer-weighted and in 2009 were 22.4 based on prices 30 days post default and were 35.7 based on year-end prices. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. U.S. securitized assets GTM ASIA 60 Spreads Mortgage originations by credit score* Basis points, option-adjusted spreads 350 USD trillions 5.0 4.5 300 4.0 250 3.5 3.0 Fixed income 200 2.5 150 2.0 1.5 100 YTD 1.0 50 0 0.5 0.0 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 Mortgage-backed securities Asset-backed securities Commercial mortgage-backed securities 60 '22 '23 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 23 <620 620-659 660-719 720-759 Source: J.P. Morgan Asset Management; (Left) Bloomberg; (Right) Equifax, New York Fed Consumer Credit. *Credit score is Equifax Risk Score 3.0. Credit scores measure creditworthiness or likelihood of repayment of a borrower. The higher the score, the less risk of default. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 760+ Emerging market debt GTM ASIA Spread between local rates and U.S. Treasuries EM real and nominal yields** Fixed income 61 1000 800 600 400 200 -200 3-5 year local currency government bond index*, basis points -12% Moody's China A+ A1 Malaysia A A3 Poland A A2 Thailand A- Baa1 Mexico BBB+ Baa2 Indonesia BBB Baa2 Indonesia India BBB- Baa3 India Colombia BBB- Baa2 Colombia S. Africa BB Ba2 S. Africa Brazil BB- Ba2 Brazil 0 S&P 5-year average Current 61 -8% -4% 0% China Malaysia Poland Thailand Mexico Nominal yield Real yield Source: J.P. Morgan Asset Management; (Left) Bloomberg, J.P. Morgan Economics Research; (Right) FactSet. *J.P. Morgan GBI-EM Broad Diversified Index sub-component used for each market. Spread is the difference between the yield on each market’s local 3-5 year government bond, except for South Africa, which uses 1-5 year, and the yield on the Bloomberg U.S. Aggregate Government - Treasury (3-5 Year). S&P and Moody’s are respective market’s local currency long-term debt ratings. ** Yields are the 10-year local currency government bond yield for each respective market. Real yield is calculated based on nominal yield and the 12-month average of the yearly change in the Consumer Price Index (CPI) for each respective market. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 4% 8% 12% Asia fixed income GTM ASIA 62 JACI spread Basis points over U.S. Treasury 1,600 10-yr average Non-investment grade 612bps Non-investment grade 418bps ex-China real estate JACI 278bps Investment grade 197bps 1,400 1,200 Latest 907bps 660bps 290bps 173bps Fixed income 1,000 800 600 400 200 0 62 '08 '09 '10 '11 '12 '13 Source: J.P. Morgan Economics Research, J.P. Morgan Asset Management. The JACI is the J.P. Morgan Asia Credit Index. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 Asset class returns 2013 2014 2015 2016 2017 DM Equities 27.4% Asian Bonds 8.3% Asian Bonds 2.8% EM exAsia 25.2% APAC ex-JP 37.3% U.S. IG EMD 7.5% 1.2% Global Corp HY 14.0% Diversified EMD Cash EMD 5.4% 5.5% 0.0% 10.2% APAC ex-JP 3.7% DM Equities 5.5% DM Equities -0.3% DM Equities 8.2% Other asset classes Global Corp HY 8.4% 63 GTM ASIA 63 Cash Diversified U.S. IG Diversified 0.0% 3.3% -0.7% 8.1% Asian Bonds -1.4% APAC ex-JP 3.1% Global Bonds -3.2% APAC ex-JP 7.1% Diversified U.S. IG -1.5% Global Bonds 0.6% Global Bonds -2.6% Global Corp HY 0.2% U.S. IG -3.4% 6.1% Global Corp HY -4.9% Asian Bonds 5.8% Global Bonds 2.1% -6.6% 0.0% APAC ex-JP -9.1% EM exAsia -9.3% EM exAsia -13.3% EM exAsia -25.1% EMD Cash 2019 2020 2021 1.8% DM Equities 28.4% APAC ex-JP 22.8% DM Equities 22.3% EM exAsia 24.7% Asian Bonds -0.8% APAC ex-JP 19.5% DM Equities 16.5% EM exAsia 8.1% DM Equities 23.1% Global Bonds -1.2% EM exAsia 16.9% Diversified Diversified Diversified 2018 Cash U.S. IG Diversified 16.4% 11.2% U.S. IG 17.2% -2.5% Global Corp HY 10.3% Global Corp HY -3.5% EMD EMD EMD 9.3% -4.6% 14.4% Global Corp HY 8.2% -6.0% Global Corp HY 13.4% Asian Bonds 6.3% 6.4% DM Equities -8.2% Asian Bonds 11.3% Asian Bonds 5.8% EM exAsia -11.5% Global Bonds 6.8% Global Bonds 7.4% U.S. IG Cash Cash 0.3% 0.8% Diversified APAC ex-JP -13.7% U.S. IG 14.5% Cash 2.2% 9.9% Global Bonds 9.2% 3.5% Global Corp HY 2.0% 2Q '23 YTD '23 10-yrs ('13 - '23) Ann. Ret. Ann. Vol. 1.5% EM exAsia 7.4% DM Equities 15.4% DM Equities 10.1% EM exAsia 21.4% Asian Bonds -11.0% DM Equities 7.0% EM exAsia 8.5% APAC ex-JP 4.8% APAC ex-JP 16.6% Diversified Diversified Diversified 2022 Cash Global Corp HY -12.7% Diversified -14.7% 1.9% 5.9% 4.7% Global Corp HY 1.7% Global Corp HY 5.4% Global Corp HY 3.7% U.S. IG EMD EMD 0.0% -15.8% 1.5% 3.8% Cash U.S. IG U.S. IG 1.2% 3.2% 2.6% Global Corp HY 8.0% Asian Bonds 0.4% APAC ex-JP 3.2% EMD U.S. IG U.S. IG -1.0% EMD -1.5% EM exAsia -16.0% Global Bonds -16.2% U.S. IG -16.5% -0.3% 0.5% APAC ex-JP -2.7% APAC ex-JP -17.2% APAC ex-JP -0.9% EM exAsia -9.7% Global Bonds -4.7% DM Equities -17.7% Global Bonds -1.5% Cash 9.2% Cash EMD 5.9% Diversified Asian Bonds 3.0% Asian Bonds -2.4% EMD DM Equities 14.7% Asian Bonds 2.9% 2.6% EMD 8.6% 6.4% 1.0% Global Bonds 5.7% 2.3% Global Bonds 0.2% Asian Bonds 4.9% Global Bonds 1.4% EM exAsia -0.2% Cash Source: Bloomberg, Dow Jones, FactSet, J.P. Morgan Economic Research, MSCI, J.P. Morgan Asset Management. The “Diversified” portfolio assumes the following weights: 20% in the MSCI World Index (DM Equities), 20% in the MSCI AC Asia Pacific ex-Japan (APAC ex-JP), 5% in the MSCI EM ex-Asia (EM ex-Asia), 10% in the J.P. Morgan EMBIG Index (EMD), 10% in the Bloomberg Aggregate (Global Bonds), 10% in the Bloomberg Global Corporate High Yield Index (Global Corporate High Yield), 15% in J.P. Morgan Asia Credit Index (Asian Bonds), 5% in Bloomberg U.S. Aggregate Credit – Corporate Investment Grade Index (U.S. IG) and 5% in Bloomberg U.S. Treasury – Bills (1-3 months) (Cash). Diversified portfolio assumes annual rebalancing. All data represent total return in U.S. dollar terms for the stated period. 10-year total return data is used to calculate annualized returns (Ann. Ret.) and 10-year price return data is used to calculate annualized volatility (Ann. Vol.) and reflects the period 30/06/13 – 30/06/23. Please see disclosure page at end for index definitions. Past performance is not a reliable indicator of current and future results. Diversification does not guarantee investment returns and does not eliminate the risk of loss. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Cash Cash 0.4% Volatility GTM ASIA 64 VIX index* 90 80 70 60 50 40 30 20 10 0 Recession 3 2 1 Other asset classes 4 7 5 8 9 10 10 11 13 Average: 19.6 '90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 VIX breaks 35 in six months** 64 12 6 Related event On the day -3.0% S&P 500 Performance After 1 month After 3 months -4.2% -5.9% After 12 months VIX returns to long-term average***(days) 16.8% 218 113 1 06/08/90 Recession – oil price shock and rate hikes 2 30/10/97 Asian crisis -1.7% 7.5% 9.1% 3 27/08/98 Long-Term Capital Management 21.6% -3.8% 0.6% 13.8% 309 4 17/09/01 Recession – collapse of dot-com bubble 29.3% -4.9% 2.9% 9.2% 172 5 15/07/02 Enron accounting scandal -15.9% -0.4% 1.3% -8.3% 17/09/08 Recession – global financial crisis 9.0% 304 6 -4.7% -14.8% -21.8% 476 7 07/05/10 Greece bailout package, austerity imposed -7.9% -1.5% -5.0% 1.0% 08/08/11 European debt crisis, U.S. credit downgrade 21.2% 157 8 -6.7% 5.9% 12.7% 165 9 24/08/15 Chinese yuan devaluation 25.2% -3.9% 2.1% 10.2% 44 10 05/02/18 Bond market re-pricing growth and rate hikes -4.1% 3.4% 0.9% 15.5% 3.4% 11 24/12/18 Global growth and market liquidity fears -2.7% 12.4% 19.0% 37.1% 18 12 27/02/20 Recession – Coronavirus pandemic -4.4% -13.2% 1.7% 27.9% 383 13 07/03/22 Median Average Russia-Ukraine conflict and policy tightening -3.0% -3.8% -3.5% 7.1% 2.1% 0.5% -1.9% 1.7% 3.0% -5.1% 16.8% 13.7% 21 Source: FactSet, J.P. Morgan Asset Management. *The VIX-CBOE Volatility Index measures market expectations of near-term volatility conveyed by S&P 500 Index (SPX) option prices. **First day when VIX breaks 35; subsequent spikes above 35 within the next six months are not included. ***Number of days for VIX to return to its long-term average after initial VIX spikes above 35. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 9 U.S. dollar GTM ASIA 65 U.S. dollar and interest rate differential Index 140 Yield spread 3.0% Other asset classes Recessions 130 2.5% 120 2.0% 110 1.5% 100 1.0% 90 0.5% 80 0.0% 70 -0.5% 60 '96 '98 '00 U.S. dollar index* 65 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20 '22 U.S. minus DM 10-year government bond yield** Source: FactSet, OECD, Tullett Prebon, WM/Reuters, J.P. Morgan Asset Management. *The U.S. dollar index shown here is a nominal trade-weighted index of major trading partners’ currencies. Major currencies are the British pound, Canadian dollar, euro, Japanese yen, Swedish kroner and Swiss franc. **DM is developed markets and the yield is calculated as a GDP-weighted average of the 10-year government bond yields of Australia, Canada, France, Germany, Italy, Japan, Switzerland and the UK. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. -1.0% Currencies GTM ASIA 66 Currency deviation from 10-year average in real effective exchange rate* terms Number of standard deviations away from average 5 4 3 FX above long-term average 2 1 Max Current 0 Other asset classes -1 -2 -3 -4 -5 66 Source: FactSet, J.P. Morgan Economic Research, J.P. Morgan Asset Management. *The real trade-weighted exchange rate index is the weighted average of a market’s currency relative to a basket of other major currencies adjusted for the effects of inflation. The weights are determined by comparing the relative trade balances, in terms of one market’s currency, with other markets within the basket. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Min FX below long-term average Emerging market external positions GTM ASIA 67 Current account positions, currency movements and reserve adequacy Currency appreciation 25% vs. USD 20% Local currency vs. USD change, Last 12 months Other asset classes 15% Poland Chile Brazil Philippines 5% Vietnam 0% -5% Colombia Thailand -10% Korea Malaysia Indonesia India China -15% South Africa -20% Key: -25% Asia EM ex-Asia -30% -35% Weaker position Turkey -40% = Adequate reserves* -45% Stronger position -50% -55% Currency depreciation vs. USD 67 10% Mexico -60% -10% Argentina -8% -6% -4% -2% 0% 2% Current account as % of GDP, 2022 Source: FactSet, International Monetary Fund, J.P. Morgan Asset Management. *Adequate reserves are stocks of a market’s foreign exchange reserves that can cover 3 months of imports (the amount of times available reserves can cover 3 months’ worth of imports) and cover short-term debt due in the next year (the amount of times available reserves can pay off debt maturing in the next 12 months and any payments on longer-term debt due in the next 12 months). The larger the bubble, the larger the amount of reserve coverage. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 4% 6% Commodities GTM ASIA 68 Commodity prices Returns Z-scores for the past five years, USD per unit -4 Commodity Index -2 $1 Coal $4 Other asset classes $66 Wheat $4 Gold Agriculture $9 $101 $458 $339 $37 $3,985 $220 $113 $13 $7 $1,187 $34 $8,210 $133 $10,730 $2,069 $1,929 $66 $80 Example Low level High level Current 68 8 10 12 $24 $3 $74 $4,618 6 $137 $1,422 $2,097 Iron Ore Copper 4 $49 $128 Dutch Natural Gas Oil 2 $59 Henry Hub Gas Aluminum 0 2019 2020 2021 2022 2Q '23 YTD '23 2018 - 2023 Ann. Ret. Ann. Vol. Gold (E) M&M (E) Energy (E) Energy (E) EM M&M (FI) Gold (E) M&M (E) Gold (E) 51.1% 27.6% 44.3% 42.6% 2.9% 5.2% 10.3% 33.6% M&M (E) Gold (E) Comdty. Comdty. US M&M (FI) US M&M (FI) Agri. (E) M&M (E) 17.1% 25.7% 27.1% 16.1% 0.9% 5.0% 9.4% 30.3% EM M&M (FI) Agri. (E) Agri. (E) Agri. (E) Energy (E) EM M&M (FI) Gold (E) Energy (E) 16.5% 19.5% 23.1% 7.2% 0.9% 4.1% 7.9% 29.6% US M&M (FI) EM M&M (FI) M&M (E) M&M (E) Euro M&M (FI) Energy (FI) Energy (E) Agri. (E) 14.0% 10.6% 23.0% 3.8% 0.6% 3.9% 5.2% 19.0% Agri. (E) US M&M (FI) US M&M (FI) US M&M (FI) Energy (FI) Euro M&M (FI) Comdty. Comdty. 13.8% 8.5% 6.6% -6.5% 0.0% 2.7% 4.7% 16.1% Energy (FI) Energy (FI) EM M&M (FI) Euro M&M (FI) Comdty. M&M (E) US M&M (FI) EM M&M (FI) 13.4% 6.0% 2.0% -13.5% -2.6% 0.4% 4.7% 13.8% Energy (E) Euro M&M (FI) Energy (FI) Gold (E) M&M (E) Energy (E) Energy (FI) Energy (FI) 9.5% 3.5% -0.7% -14.5% -3.5% -2.3% 0.5% 11.8% Comdty. Comdty. Euro M&M (FI) Energy (FI) Agri. (E) Agri. (E) EM M&M (FI) US M&M (FI) 7.7% -3.1% -0.7% -16.5% -4.8% -6.5% 0.3% 8.7% Euro M&M (FI) Energy (E) Gold (E) EM M&M (FI) Gold (E) Comdty. Euro M&M (FI) Euro M&M (FI) 5.2% -28.5% -7.7% -24.1% -6.6% -7.8% -1.0% 7.2% Source: Bloomberg, FactSet, J.P. Morgan Asset Management; (Left) CBOT, CME, CRB, LME; (Right) J.P. Morgan Economic Research, MSCI. Commodities represented by appropriate Bloomberg Commodity sub-index priced in U.S. dollars. Aluminum and copper is priced on LME. Coal is the Newcastle Coal Closing Price (USD/t). Crude oil is Brent crude. Dutch Natural Gas is Dutch TTF Gas Monthly Near Term (NDEX EUR/mwh). Henry Hub Gas is Natural Gas Henry Hub Spot Price (USD/Mmbtu). Iron Ore is iron ore 62% Fe -Cost and Freight China Port. Other commodity prices represented by futures contracts. Z-scores calculated using daily prices over past five years. Based on Bloomberg Commodity Index (Comdty.); MSCI ACWI Select – Energy Producers IMI, Metals & Mining Producers ex Gold & Silver IMI, Gold Miners IMI, Agriculture Producers IMI (Energy (E), M&M (E), Gold (E), Agri. (E)); Bloomberg Global Agg, Credit – Corporate Energy Index (Energy (FI)); Bloomberg U.S. Agg. Credit – Corporate High Yield Metals & Mining Index (U.S. M&M (FI)); Bloomberg Euro Agg. Credit – Corporate Metals & Mining Index (Euro M&M (FI)); J.P. Morgan Emerging Market Corporate Credit – Corporate Metals & Mining Index (EM M&M (FI)). 5-year total return data used to calculate annualized returns (Ann. Ret.) and 5-year price return data used to calculate annualized volatility (Ann. Vol.), reflects the period 30/06/18 – 30/06/23. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Gold GTM ASIA 69 Gold and real rates USD / Troy oz 2000 U.S. 10-year Treasury inflation-protected security (TIPS) -1.5 -1.0 Change in central bank gold holdings Cumulative change since January 2002 in tonnes 3000 2500 2000 -0.5 1500 1500 0.0 Other asset classes 0.5 1.0 1000 1000 500 0 -500 1.5 -1000 2.0 500 '09 '11 Gold price '13 '15 '17 '19 '21 TIPS yield (inverted) '23 2.5 -1500 -2000 '02 '04 China '06 '08 '10 South-east Asia Latin America & Caribbean 69 Source: FactSet, J.P. Morgan Asset Management; (Right) World Gold Council. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '12 '14 South Asia '16 '18 '20 Euro area Central and Eastern Europe '22 Oil: Short-term market dynamics GTM ASIA 70 Global oil supply and demand Price of oil Million barrels / day 110 Forecast 105 Brent crude, USD / bbl 150 07/2008: $145.65 125 100 03/2022: $133.18 06/2014: $115.19 100 95 75 Other asset classes 90 06/2023: $74.31 50 85 25 80 12/2008: $33.73 04/2020: $9.12 75 '18 '19 Demand 70 '20 '21 '22 '23 '24 0 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20 '22 Supply Source: FactSet, J.P. Morgan Asset Management; (Left) Global Trade Tracker, U.S. Energy Information Administration; (Right) Commodity Research Bureau. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Alternative sources of income GTM ASIA 71 Asset class yields 14% 12.9% 12% 10.8% 10% 7.7% 8% 6.8% 6.5% 6% 5.5% Other asset classes 4.5% 4% 4.2% 4.0% 3.9% 3.8% 3.7% 3.5% 3.2% 0% 3.0% 2.0% 2% Asia HY bonds Equity 71 4.3% Global transport USD EMD EM high APAC ex-JP Global div. equity high div. HY bonds equity Fixed income Global REITs Local cur. EMD APAC Real Estate Infra. assets DM high div. equity U.S. 10-year Europe Real Estate U.S. Real Estate 1.5% Eur. APAC Convertibles U.S. equity ex-JP equity equity Alternatives Source: Alerian, Bank of America, Bloomberg, Clarkson, Drewry Maritime Consultants, FactSet, Federal Reserve, FTSE, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Global transport: Levered yields for transport assets are calculated as the difference between charter rates (rental income), operating expenses, debt amortization and interest expenses, as a percentage of equity value. Yields for each of the sub-vessel types above are calculated and respective weightings are applied to each of the sub-sectors to arrive at the current levered yields for Global Transportation; asset classes are based on MSCI Global Property Fund Index – North America (U.S. real estate), market weighted-average of MSCI Global Property Fund Indices – UK & Continental Europe (Europe real estate), MSCI Global Property Fund Index – Asia Pacific (APAC real estate), FTSE NAREIT Global REITs (Global REITs), MSCI Global Infrastructure Asset Index (Infra. assets), Bloomberg U.S Convertibles Composite (Convertibles), Bloomberg Global High Yield Index (Global HY bonds), J.P. Morgan Government Bond Index EM Global (GBI-EM) (Local currency EMD), J.P. Morgan Emerging Market Bond Index Global (EMBIG) (USD EMD), J.P. Morgan Asia Credit Index Non-investment Grade (Asia HY bonds), MSCI Asia Pacific ex-Japan equities (APAC ex-JP equity), MSCI Asia Pacific ex-Japan High Dividend Yield Index (APAC ex-JP high div. equity), Emerging Markets High Dividend Yield Index (EM high div. equity), MSCI World High Dividend Yield Index (DM high div. equity), MSCI Europe (Eur. equity), MSCI USA (U.S. equity). Yields for Global transport, Infra. Assets, U.S. real estate, Europe real estate and APAC real estate are as of 31/12/22. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Understanding alternatives GTM ASIA Alternatives and portfolio risk/return* Public and private market correlations Annualized volatility and returns, 1Q98 – 1Q23 7.5% Correlation coefficient based on quarterly returns Financial assets 60% Stocks 20% Bonds 20% Alternatives 7.0% 40% Stocks 40% Bonds 20% Alternatives 2008 - 2022 70% Stocks 30% Bonds Return 6.5% Other asset classes 6.0% 50% Stocks 50% Bonds 5.5% 5.0% 72 20% Stocks 60% Bonds 20% Alternatives 30% Stocks 70% Bonds 2% 4% 6% 8% Volatility 72 10% 12% 14% Global real estate Other real assets Private markets Hedge funds Crypto Global U.S. U.S. Equity Global Global U.S. APAC Relative Macro Bitcoin Core Direct Private Long/S Value Bonds Equities Core RE Core RE Infra Lending Equity hort Global Bonds 1.0 Global Equities 0.4 1.0 U.S. Core RE -0.2 0.0 1.0 APAC Core RE -0.2 0.0 0.8 1.0 Global Core Infra -0.1 0.1 0.4 0.5 1.0 U.S. Direct Lending 0.0 0.7 0.3 0.3 0.3 1.0 U.S. Private Equity 0.3 0.9 0.3 0.4 0.2 0.8 1.0 Equity Long/Short 0.3 0.9 -0.1 0.0 0.1 0.7 0.9 1.0 Relative Value 0.2 0.9 -0.1 0.0 0.1 0.9 0.8 0.9 1.0 Macro 0.1 0.3 0.0 0.0 0.0 0.1 0.2 0.4 0.3 1.0 Bitcoin 0.1 0.1 0.2 0.1 0.2 0.1 0.2 0.1 0.1 0.0 Source: Bloomberg, FactSet, HFRI, NCREIF, J.P. Morgan Asset Management; (Left) Standard & Poor’s; (Right) Cambridge Associates, Cliffwater, MSCI. *Stocks: S&P 500. Bonds: Bloomberg U.S. Aggregate. Alternatives: equally weighted composite of hedge funds (HFR FW Comp.) and private real estate. The volatility and returns are based on data from the period 31/12/97 – 31/03/23. RE – real estate. Global equities: MSCI AC World Index. Global bonds: Bloomberg Global Aggregate Index. U.S. core real estate: NCREIF Property Index – Open End Diversified Core Equity component. Asia Pacific (APAC) core real estate: IPD Global Property Fund Index – Asia-Pacific. Global infrastructure (infra.): MSCI Global Quarterly Infrastructure Asset Index (equal-weighted blend). U.S. direct lending: Cliffwater Direct Lending Index. U.S. private equity: Cambridge Associates U.S. Private Equity Index. Hedge fund indices include equity long/short, relative value and global macro and are all from HFRI. All correlation coefficients are calculated based on USD quarterly total return data for the period 30/06/08 – 31/12/22, except correlations with Bitcoin, which are calculated over the period 31/12/2010 – 31/12/2022. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 1.0 Global energy transition GTM ASIA Global energy mix 73 Global investments in energy transition Share of primary energy consumption 70% USD billions, nominal 1,200 Forecast* 60% 1,000 50% 800 40% 600 30% 400 Investing principles 20% 200 10% 0% ‘70 ‘80 Oil 73 Coal ‘90 ‘00 Gas ‘10 Renewables ‘20 ‘30 ‘40 Other non-fossil fuels ‘50 0 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 Storage, electrification, carbon capture, other** Source: J.P. Morgan Asset Management; (Left) BP Energy Outlook 2023; (Right) Bloomberg NEF, IEA. *Forecast is based on BP’s scenario for global net-zero emissions by 2050. **Storage, electrification and other includes hydrogen, carbon capture and storage, energy storage, electrified transport and electrified heat. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Renewable energy New energy vehicles GTM ASIA BEV* and PHEV** in use Electric vehicle charging points 30 3,000 Millions Countries/Regions China Europe U.S. Rest of the world 25 74 Thousands, publicly accessible 2022 14.1 7.4 3.0 1.4 Charging points per 100 BEV and PHEV vehicles in use in 2022 China 12.5 Europe 6.7 U.S. 4.3 Rest of the world 22.4 2,500 20 315 128 2,000 497 151 15 Investing principles 10 74 114 1,500 139 99 1,000 119 77 5 0 500 '15 '16 '17 '18 '19 '20 '21 22 Source: International Energy Agency (IEA) – Global EV Outlook 2023, J.P. Morgan Asset Management. *BEV stands for battery electric vehicles. **PHEV stands for plug-in hybrid electric vehicles. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 0 69 43 115 75 54 141 57 38 99 141 213 270 '16 '17 '18 345 252 194 1760 1150 810 510 '19 '20 '21 '22 Global commodities and sustainable energy Share of global commodities mining production* by region 2022 GTM ASIA 75 Commodity input for sustainable energy technologies Relative importance of commodities Copper Rare earths Cobalt Nickel Solar PV** Zinc Wind Lithium* Hydro Copper Investing principles Nuclear 75 Nickel EVs*** and battery storage Cobalt Electricity networks 0% 20% 40% China APAC ex-China Europe Rest of the world 60% South America 80% 100% North America High Moderate Low Source: J.P. Morgan Asset Management; (Left) U.S. Geological Survey; (Right) International Energy Agency. Based on the report “The role of critical minerals in clean energy transitions” where they elaborate further how the relative importance of commodities was determined. *U.S. lithium mining production is excluded in this analysis in order to protect individual company information.**PV = photovoltaic. ***EVs = electric vehicles. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Lithium Zinc Equity annual returns and intra-year declines GTM ASIA 76 MSCI AC Asia Pacific ex-Japan intra-year declines vs. calendar year returns Despite average intra-year drops of -20% (median: -18%), annual returns are positive in 21 of 35 (60%) years 100% 80% 80% 68% 60% 47% 44% 40% 29% 27% 26% 19% 17% 17% 20% 6% -20% -10%-14%-16% -5% -8% -14% -12% Investing principles -12% -11% -13% -40% -41%-40% 4% -0.2% -8% -13% -18% -25% -9% -12% -13% -18%-16%-16%-13% -19% -21% -27% -30% -18%-19% -34%-34% 20% 16% 0.5% -5% -7% YTD 19% -31% -36% -21% -24% 15% 9% 4% 0% 2% -4% -5% -11% -18%-20% -16%-11% -25% -32% -33% '20 '22 -53% -60% -62% -80% '88 '90 '92 Calendar year return 76 34% 33% '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 Intra-year decline Source: FactSet, MSCI, J.P. Morgan Asset Management. Returns are price returns based on MSCI AC Asia Pacific ex-Japan Index in U.S. dollar terms. Intra-year decline is the largest peak to trough decline during the respective year. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '18 Fixed income annual returns and intra-year declines GTM ASIA 77 Bloomberg Global Aggregate USD intra-year declines vs. calendar year returns Despite average intra-year drops of -4% (median: -3%), annual returns are positive in 17 of 21 (81%) years 15% 10% 7% 5% 4% 4% 5% 4% 6% 7% 9% 8% YTD 8% 6% 5% 3% 2% 4% 2% 1% 0% -5% -2% -5% -2% -2% -2% -5% -3% -2% -1% -2% -1% -3% -5% -5% -1% 0% -1% -4% -3% -2% -4% -4% -6% Investing principles -10% -13% -15% -16% -20% '03 '04 '05 Calendar year return 77 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 Intra-year decline Source: Bloomberg, FactSet, J.P. Morgan Asset Management. Returns are total returns based on Bloomberg Global Aggregate USD Hedged Total Return Index. Intra-year decline is the largest peak to trough decline during the respective year. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '19 '20 '21 '22 '23 U.S. market implied recession probabilities GTM ASIA 78 Probability of a recession over the next 12 months 100% 90% Recession 80% 79.3% 70% 60% 50% Median: 40.2% 40% Investing principles 30% 78 20% 10% 0% '82 '84 '86 '88 '90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 Source: Bloomberg, National Bureau of Economic Research (NBER), J.P. Morgan Asset Management. Recession probabilities derived from a logistic regression model with the U.S. 10 year – U.S. 2 year spread, U.S. 10 year – U.S. 3 month spread and Goldman Sachs Financial Conditions Index deviation from average as inputs. Dependent variable is the binary classification of whether there is a recession in the next 12 months using NBER’s classification of U.S. recessions. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '16 '18 '20 '22 U.S. economic cycle and asset performance GTM ASIA 79 S&P 500 Index across different phases of U.S. business cycle Index 6,000 5,000 4,000 3,000 2,000 1,000 0 '79 '81 '83 Contraction '85 '87 Early cycle '89 '91 Mid cycle '93 '95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19 '21 '23 Late cycle Investing principles Annualized return of various asset classes during different phases of U.S. business cycle 79 Global IG Global HY EM Sovereign Debt U.S. 10Y Treasury 1.8% (4.7%) (4.9%) (4.4%) 4.5% 13.0% 2.4% 5.9% 12.9% 8.0% 4.2% (11.7%) (7.6%) 3.1% (2.1%) 1.8% (1.5%) (1.9%) 12.4% 9.3% 14.2% 1.3% 1.4% 3.1% 4.8% 5.9% 9.5% 5.0% 9.9% 1.8% 1.5% 3.8% 3.9% 4.3% U.S. Equities Australian Equities European Equities Japanese Equities AxJ Equities Chinese Equities Contraction (8.7%) (12.5%) (9.0%) (9.4%) 1.8% 9.5% (1.7%) Early Cycle 21.3% 14.3% 14.4% 12.4% 13.6% 8.3% Mid Cycle 5.5% 6.8% 5.9% 4.7% (6.7%) Late Cycle 10.7% 10.3% 9.0% 2.6% Full Period 10.6% 8.3% 7.6% 4.1% EM Equities U.S. MBS Source: Bloomberg, J.P. Morgan Asset Management. Regime analysis inception date: 31/01/78. K-Means Clustering applied to monthly data points of the following U.S. economic indicators – Core PCE Inflation, Private sector financial balance as a % of GDP, Consumer confidence, ISM manufacturing new orders, Unemployment rate, OECD composite leading indicator. Latest data as of 31/03/23. Monthly return analysis inception date: 31/01/93 for all assets except for Global IG (start date: 31/10/00), AxJ Equities and EM Equities (start date: 31/01/01), EM Sovereign Debt (start date: 28/02/02). Local returns are used. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Long-term returns of asset classes GTM ASIA 80 Growth of a USD100 investment Based on inflation-adjusted monthly returns from 31/12/91 $1,050 $950 $856 $850 $750 $650 $550 $450 $396 Investing principles $350 $250 $191 $150 $96 $50 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 U.S. equity 80 U.S. high yield U.S. aggregate bonds U.S. short-term Treasuries Source: Bloomberg, FactSet, J.P. Morgan Asset Management. U.S. equity is based on S&P 500 Total Return Index; U.S. high yield is based on Bloomberg U.S. Corporate High Yield Total Return Index; U.S. aggregate bonds is based on Bloomberg U.S. Aggregate Index; U.S. short-term Treasuries is based on Bloomberg Short-term Treasury Total Return Index. Past performance is not indicative of current or future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. The compounding effect GTM ASIA S&P 500 cumulative price return since 1980** MSCI World Index: Performance under different scenarios Hypothetical investment of USD100,000 Index, 1970 = 100 16,000 4,400,000 Annualized return 14,000 12,000 Total return (dividends received and reinvested back into equities) 9.6% Total return (dividends received and reinvested in cash)* 8.5% Total return (dividends received but not reinvested) 7.2% Price return 6.5% 13,407 4,000,000 416,342 3,600,000 1,515,529 2,196,195 2,800,000 7,668 8,000 6,000 2,629,977 50,139 2,400,000 2,000,000 4,123,014 84,006 3,695,091 1,600,000 4,000 Investing principles 11,581 3,200,000 10,000 2,000 0 81 4,010 1,200,000 2,867 800,000 113,844 2,557,346 1,842,813 1,379,194 400,000 0 '70 '75 '80 '85 '90 '95 '00 '05 '10 '15 '20 Stay invested Missed top Missed top Missed top Missed top 1 day 5 days 10 days 15 days Total return if remained invested since 1980 Total return from missing stated days Implied compounding loss Actual loss from missing days 81 Source: FactSet, J.P. Morgan Asset Management; (Left) MSCI; (Right) Standard & Poor’s. *Reinvestment in cash based on the same month U.S. three-month Treasury bill (secondary market) yield. Past performance is not a reliable indicator of current and future results. **More than 10,000 trading days used to calculate the total cumulative price return of S&P 500 since 01/01/80. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Portfolio construction, asset class returns and volatility GTM ASIA 82 Annualized returns and volatility Total returns in USD* 12% Hypothetical portfolio construction Conservative DM equities Annualized returns 10% 8% Balanced 10% 30% Aggressive 20% 5% 10% 40% EM HD equities 10% 10% 15% 10% APxJ HD equities 10% U.S. bonds 25% 10% 5% U.S. HY 20% Cash 35% 10% 0% EMD 15% EMD 10% 15% 5% Asian bonds 15% REITs 5% 10% 20% REITs 5% U.S. HY 6% Hedge fund - rel val 4% Asian bonds EMD U.S. 25% U.S. HY DM REITs Private real estate High yielding Balanced DM HD AxJ HD Gold Aggressive Hedge fund - distressed APxJ HD AxJ APxJ Europe Conservative Hedge fund - macro Hedge fund - mkt neutral 2% Investing principles DM HD equities EM equities U.S. bonds 82 High yielding EM HD EM Cash 0% 0% 5% High dividend (HD) equities 10% Annualized volatility Equities Bonds and cash Alternatives 15% 20% Portfolios Source: Bloomberg, Dow Jones, FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Hypothetical portfolios were created to illustrate different risk/return profiles and are not meant to represent actual asset allocation. U.S. dollar total return calculations are based on MSCI Total Return, Bloomberg and J.P. Morgan indices. AxJ stands for MSCI AC Asia ex-Japan and APxJ stands for MSCI AC Asia Pacific ex-Japan. *Monthly total returns between 30/06/08 and 30/06/23 are used for all asset classes except hedge funds, where monthly total returns between 31/05/08 and 31/05/23 are used, and private real estate, where quarterly returns between 31/12/08 to 31/03/23 are used. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. 25% 60/40 stock-bond portfolio performance GTM ASIA 83 Annual returns in a 60/40 stock-bond portfolio 50% 40% 19% 20% 18% 21% 17% 30% 15% 19% 16% 12% 20% 10% 3% 21% 11% 15% 13% 9% 15% 8% 13% 12% 9% YTD 11% 9% 6% 7% 1% 0% -10% Investing principles -20% -5% -8% -5% -7% -16% -40% -50% -0.2% -7% -30% -22% '90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20 '21 '22 '23 Stock total return 83 -1% Bond total return Portfolio total return Source: Bloomberg, FactSet, MSCI, J.P. Morgan Asset Management. Returns are calendar year. Portfolio returns reflect allocations of 60% in the MSCI AC World Index and 40% in the Bloomberg Aggregate Bond Index. Returns are total returns. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. Correlation between stocks and bonds GTM ASIA 84 Correlations between stocks and sovereign bonds Weekly rolling six-month correlation of equities and sovereign bond prices* 80% Stocks and bonds moving in the same direction 60% 40% 20% 0% -20% -40% Investing principles -60% 84 -80% -100% Stocks and bonds moving in the opposite direction '01 '02 '03 '04 '05 '06 S&P 500 / U.S. government bonds* '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 MSCI AC World / Global government bonds* Source: Bloomberg, FactSet, MSCI, J.P. Morgan Asset Management. *Rolling six-month pairwise correlations between weekly returns in equity (S&P 500 and MSCI All Country World Index price indices) and bond (Bloomberg U.S. Aggregate Government Treasury and Bloomberg Global Aggregate Government Treasuries price indices) markets. Past performance is not a reliable indicator of current and future results. Guide to the Markets – Asia. Data reflect most recently available as of 30/06/23. '20 '21 '22 J.P. Morgan Asset Management: Index Definitions All indexes are unmanaged and an individual cannot invest directly in an index. Index returns do not include fees or expenses. The S&P 500 Index is widely regarded as the best single gauge of the U.S. equities market. This world-renowned index includes a representative sample of 500 leading companies in leading industries of the U.S. economy. Although the S&P 500 Index focuses on the large-cap segment of the market, with approximately 75% coverage of U.S. equities, it is also an ideal proxy for the total market. An investor cannot invest directly in an index. The Tokyo Stock Price Index ('TOPIX') is a composite index of all common stocks listed on the First Section of Tokyo Stock Exchange (TSE).The index is basically a measure of the changes in aggregate market value of TSE common stocks. The base for the index is the aggregate market value of its component stocks as of the close on January 4, 1968. The aggregate market value is calculated by multiplying the number of listed shares of each component stock by its price and totaling the products derived there from. The Bombay Exchange Sensitive Index (‘SENSEX’), first compiled in 1986, was calculated on a "Market Capitalization-Weighted" methodology of 30 component stocks representing large, wellestablished and financially sound companies across key sectors. The base year of SENSEX was taken as 1978-79. SENSEX today is widely reported in both domestic and international markets through print as well as electronic media. It is scientifically designed and is based on globally accepted construction and review methodology. Since September 1, 2003, SENSEX is being calculated on a free-float market capitalization methodology. The Korea Composite Stock Price Index (‘KOSPI’) is market capitalization based index on all common stocks listed on the Stock Market Division of the Korea Exchange (KRX) and excludes preferred stocks. The stock price index is calculated using the actual price traded on the market and not the “base price” used for market management such as establishment of price change limits. When no market price is available for issues that are not being traded or have halted trading, the latest closing price is used. KOSPI was a assigned a base index of 100 set to January 4, 1980. The China Shenzhen Composite Index is an actual market-cap weighted index that tracks the stock performance of all the A-share and B-share lists on Shenzhen Stock Exchange. The index was developed on April 3, 1991 with a base price of 100. The Euro Stoxx 600 Index represents large, mid and small capitalization companies across 18 European countries. The MSCI® EAFE (Europe, Australia, Far East) Net Index is recognized as the pre-eminent benchmark in the United States to measure international equity performance. It comprises 21 MSCI country indexes, representing the developed markets outside of North America. The MSCI Emerging Markets IndexSM is a free float-adjusted market capitalization index that is designed to measure equity market performance in the global emerging markets. As of June 2007, the MSCI Emerging Markets Index consisted of the following 25 emerging markets indices: Argentina, Brazil, Chile, China, Colombia, Czech Republic, Egypt, Hungary, India, Indonesia, Israel, Jordan, Korea, Malaysia, Mexico, Morocco, Pakistan, Peru, Philippines, Poland, Russia, South Africa, Taiwan, Thailand, and Turkey. The MSCI ACWI (All Country World Index) Index is a free float-adjusted market capitalization weighted index that is designed to measure the equity market performance of developed and emerging markets. As of June 2009 the MSCI ACWI consisted of 45 country indices comprising 23 developed and 22 emerging market country indices. The following MSCI Total Return IndicesSM are calculated with gross dividends: This series approximates the maximum possible dividend reinvestment. The amount reinvested is the dividend distributed to individuals resident in the country of the company, but does not include tax credits. The MSCI Europe IndexSM is a free float-adjusted market capitalization index that is designed to measure developed market equity performance in Europe. As of June 2007, the MSCI Europe Index consisted of the following 16 developed market country indices: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. 85 GTM ASIA 85 The MSCI Pacific IndexSM is a free float-adjusted market capitalization index that is designed to measure equity market performance in the Pacific region. As of June 2007, the MSCI Pacific Index consisted of the following 5 Developed Market markets: Australia, Hong Kong, Japan, New Zealand, and Singapore. The MSCI Europe ex UK IndexSM is a free float-adjusted market capitalization weighted index that is designed to measure the equity market performance of the developed markets in Europe, excluding the United Kingdom. The MSCI Europe ex UK Index consists of the following 15 developed market country indices: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, the Netherlands, Norway, Portugal, Spain, Sweden, and Switzerland. The MSCI Pacific ex Japan IndexSM is a free float-adjusted market capitalization index that is designed to measure equity market performance in the Pacific region, excluding Japan. As of June 2007, the MSCI Pacific Index consisted of the following 4 Developed Markets: Australia, Hong Kong, New Zealand, and Singapore. The MSCI USA IndexSM is designed to measure the performance of the large and mid cap segments of the U.S. market. With 586 constituents, the index covers approximately 84% of the free float-adjusted market capitalization in the U.S.. The MSCI USA Index was launched on Dec ember 31, 1969. The MSCI China IndexSM captures large and mid cap representation across China H shares, B shares, Red chips and P chips. With 148 constituents, the index covers about 84% of this China equity universe. The MSCI China Index was launched on December 31, 1992. The MSCI Indonesia IndexSM is designed to measure the performance of the large and mid cap segments of the Indonesian market. With 25 constituents, the index covers about 84% of the Indonesian equity universe. The MSCI Indonesia Index was launched on December 31, 1990. The MSCI Korea IndexSM is designed to measure the performance of the large and mid cap segments of the South Korean market. With 105 constituents, the index covers about 84% of the Korean equity universe. The MSCI Korea Index was launched on December 31, 1989. The MSCI India IndexSM is designed to measure the performance of the large and mid cap segments of the Indian market. With 71 constituents, the index covers about 84% of the Indian equity universe. The MSCI India Index was launched on December 31, 1993. The MSCI Japan IndexSM is designed to measure the performance of the large and mid cap segments of the Japan market. With 315 constituents, the index covers approximately 84% of the free float-adjusted market capitalization in Japan. The MSCI Japan Index was launched on December 31, 1969. The MSCI Hong Kong IndexSM is designed to measure the performance of the large and mid cap segments of the Hong Kong market. With 42 constituents, the index covers approximately 84% of the free float-adjusted market capitalization of the Hong Kong equity universe. The MSCI Hong Kong Index was launched on December 31, 1972. The MSCI Taiwan IndexSM is designed to measure the performance of the large and mid cap segments of the Taiwan market. With 113 constituents, the index covers approximately 84% of the free float-adjusted market capitalization in Taiwan. The MSCI Taiwan Index was launched on December 31, 1989. The MSCI Environmental, Social and Governance (ESG) Universal Indices are designed to address the needs of asset owners who may look to enhance their exposure to ESG while maintaining a broad and diversified universe to invest in. By re-weighting free-float market cap weights based upon certain ESG metrics tilting away from free-float market cap weights, the indices enhance exposure to those companies that demonstrate both a higher MSCI ESG Rating and a positive ESG trend, while maintaining a broad and diversified investment universe. J.P. Morgan Asset Management: Index Definitions, Risks and Disclosures West Texas Intermediate (WTI) is the underlying commodity for the New York Mercantile Exchange's oil futures contracts. The Bloomberg Commodity Index is calculated on an excess return basis and reflects commodity futures price movements. The index rebalances annually weighted 2/3 by trading volume and 1/3 by world production and weight-caps are applied at the commodity, sector and group level for diversification. Roll period typically occurs from 6th-10th business day based on the roll schedule. The Bloomberg Commodity Subindexes represent commodity groups and sectors, as well as single commodities, that make up the Bloomberg Commodity Index. The subindexes track exchange-traded futures of physical commodities, and the commodity groups and sectors, like in the case of the broad index, are weighted to account for economic significance and market liquidity. The various subindexes include Agriculture, Energy, Livestock, Grains, Industrial Metals, Precious Metals and Softs. The Bloomberg High Yield Index covers the universe of fixed rate, non-investment grade debt. Pay-in-kind (PIK) bonds, Eurobonds, and debt issues from countries designated as emerging markets (e.g., Argentina, Brazil, Venezuela, etc.) are excluded, but Canadian and global bonds (SEC registered) of issuers in non-EMG countries are included. Original issue zeroes, step-up coupon structures, and 144-As are also included. The Bloomberg 1-3 Month U.S. Treasury Bill Index includes all publicly issued zero-coupon U.S. Treasury Bills that have a remaining maturity of less than 3 months and more than 1 month, are rated investment grade, and have $250 million or more of outstanding face value. In addition, the securities must be denominated in U.S. dollars and must be fixed rate and non convertible. The Bloomberg Corporate Bond Index is the Corporate component of the U.S. Credit index. The Bloomberg TIPS Index consists of Inflation-Protection securities issued by the U.S. Treasury. The J.P. Morgan EMBI Global Index includes U.S. dollar denominated Brady bonds, Eurobonds, traded loans and local market debt instruments issued by sovereign and quasi-sovereign entities. The J.P. Morgan GBI-EM Global Diversified consists of regularly traded, liquid fixed-rate, domestic currency government bonds to which international investors can gain exposure. The weightings among the countries are more evenly distributed within this index. The J.P. Morgan Corporate Emerging Markets Bond Index (CEMBI): The CEMBI tracks total returns of US dollar-denominated debt instruments issued by corporate entities in Emerging Markets countries, and consists of an investable universe of corporate bonds. The J.P. Morgan Domestic High Yield Index is designed to mirror the investable universe of the U.S. dollar domestic high yield corporate debt market. The VIX-CBOE Volatility Index measures market expectations of near-term volatility conveyed by S&P 500 Index (SPX) option prices. The MOVE-Merrill Lynch Option Volatility Index is a blended implied normal volatility for constant one-month at-the-money options on U.S. Treasuries. Price to forward earnings is a measure of the price-to-earnings ratio (P/E) using forecasted earnings. Price to book value compares a stock's market value to its book value. Price to cash flow is a measure of the market's expectations of a firm's future financial health. Price to dividends is the ratio of the price of a share on a stock exchange to the dividends per share paid in the previous year, used as a measure of a company's potential as an investment. Bonds are subject to interest rate risks. Bond prices generally fall when interest rates rise. The price of equity securities may rise, or fall because of changes in the broad market or changes in a company’s financial condition, sometimes rapidly or unpredictably. These price movements may result from factors affecting individual companies, sectors or industries, or the securities market as a whole, such as changes in economic or political conditions. Equity securities are subject to “stock market risk” meaning that stock prices in general may decline over short or extended periods of time. 86 GTM ASIA 86 Small-capitalization investing typically carries more risk than investing in well-established "bluechip" companies since smaller companies generally have a higher risk of failure. Historically, smaller companies' stock has experienced a greater degree of market volatility than the average stock. Mid-capitalization investing typically carries more risk than investing in well-established "blue-chip" companies. Historically, mid-cap companies' stock has experienced a greater degree of market volatility than the average stock. Real estate investments may be subject to a higher degree of market risk because of concentration in a specific industry, sector or geographical sector. Real estate investments may be subject to risks including, but not limited to, declines in the value of real estate, risks related to general and economic conditions, changes in the value of the underlying property owned by the trust and defaults by borrower. International investing involves a greater degree of risk and increased volatility. Changes in currency exchange rates and differences in accounting and taxation policies can raise or lower returns. Also, some markets may not be as politically and economically stable as other nations. Investments in emerging markets can be more volatile. The normal risks of international investing are heightened when investing in emerging markets. In addition, the small size of securities markets and the low trading volume may lead to a lack of liquidity, which leads to increased volatility. Also, emerging markets may not provide adequate legal protection for private or foreign investment or private property. Investments in commodities may have greater volatility than investments in traditional securities, particularly if the instruments involve leverage. The value of commodity-linked derivative instruments may be affected by changes in overall market movements, commodity index volatility, changes in interest rates, or factors affecting a particular industry or commodity, such as drought, floods, weather, livestock disease, embargoes, tariffs and international economic, political and regulatory developments. Use of leveraged commodity-linked derivatives creates an opportunity for increased return but, at the same time, creates the possibility for greater loss. Derivatives may be riskier than other types of investments because they may be more sensitive to changes in economic or market conditions than other types of investments and could result in losses that significantly exceed the original investment. The use of derivatives may not be successful, resulting in investment losses, and the cost of such strategies may reduce investment returns. There is no guarantee that the use of long and short positions will succeed in limiting an investor's exposure to domestic stock market movements, capitalization, sector swings or other risk factors. Investing using long and short selling strategies may have higher portfolio turnover rates. Short selling involves certain risks, including additional costs associated with covering short positions and a possibility of unlimited loss on certain short sale positions. Forecasts, projections and other forward looking statements are based upon current beliefs and expectations. They are for illustrative purposes only and serve as an indication of what may occur. Given the inherent uncertainties and risks associated with forecast, projections or other forward statements, actual events, results or performance may differ materially from those reflected or contemplated. Positive yield does not imply positive return. J.P. Morgan Asset Management (JPMAM) Global Market Insights Strategy Team as of 30/06/23. There can be no assurance that the professionals currently employed by JPMAM will continue to be employed by JPMAM or that the past performance or success of any such professional serves as an indicator of such professional's future performance or success. J.P. Morgan Asset Management: Risks and Disclosures GTM ASIA 87 The Market Insights program provides comprehensive data and commentary on global markets without reference to products. Designed as a tool to help clients understand the markets and support investment decision-making, the program explores the implications of current economic data and changing market conditions. For the purposes of MiFID II, the JPM Market Insights and Portfolio Insights programs are marketing communications and are not in scope for any MiFID II / MiFIR requirements specifically related to investment research. Furthermore, the J.P. Morgan Asset Management Market Insights and Portfolio Insights programs, as non-independent research, have not been prepared in accordance with legal requirements designed to promote the independence of investment research, nor are they subject to any prohibition on dealing ahead of the dissemination of investment research. This document is a general communication being provided for informational purposes only. 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All rights reserved. Prepared by: David Kelly, Tai Hui, Marcella Chow, Kerry Craig, Agnes Lin, Shogo Maekawa, Chaoping Zhu, Ian Hui, Adrian Tong and Jennifer Qiu. Unless otherwise stated, all data are as of June 30, 2023 or most recently available. MI-GTMASIA-E Jun 2023 Material ID: 0903c02a823a5888 87