MONASH BUSINESS SCHOOL Lecture 2 ANALYSIS OF BANK PERFORMANCE BFF2401 Commercial banking and finance LEARNING MAP 2 MONASH BUSINESS SCHOOL LEARNING OBJECTIVES 1. Identify internal & external aspects of bank performance 2. Outline the main components of bank financial statements 3. Generate key return and risk measures from bank financial statements 4. Put it all together to evaluate bank financial performance using the Dupont (Return on Equity) model as a foundation 5. Explain the importance of supplementary data in addition to financial analysis 3 MONASH BUSINESS SCHOOL REFERENCES ▪ Text: – Saunders et al. (2021) Chapter 2 – Gup et al. (2007), Commercial Banking: The Management of Risk, Milton, John Wiley & Sons, Chapter 3 (Optional) ▪ Other references – ANZ Annual Report 2022 – KPMG (2022) Major Australian banks: Full-year 2022 results analysis https://kpmg.com/au/en/home/insights/2022/11/major-australian-banksfull-year-analysis-2022.html 4 MONASH BUSINESS SCHOOL LECTURE OUTLINE ▪ Introduction (LO1) – A performance framework – Types of assessment ▪ Data ▪ Financial ratio analysis ▪ Conclusions 5 MONASH BUSINESS SCHOOL BANK PERFORMANCE – A FRAMEWORK Why do we need to evaluate bank performance? Bank management Competitor financial institutions ▪ Policy setting and strategy ▪ Merger and acquisition decisions, strategy 6 MONASH BUSINESS SCHOOL BANK PERFORMANCE – A FRAMEWORK Why do we need to evaluate bank performance? Shareholders/investors Regulators and the community ▪ Investment decisions ▪ Supervisory assessments 7 MONASH BUSINESS SCHOOL BANK PERFORMANCE – A FRAMEWORK Objective: maximise shareholder wealth Optimise risks and expected returns Economic and political environment Internal performance External performance 8 MONASH BUSINESS SCHOOL INTERNAL PERFORMANCE ▪ Bank planning – Setting objectives and planning to achieve them, effective management ▪ Technology – Contributes to improved service and lower costs ▪ Personnel development – Needs a skilled highly motivated workforce ▪ Bank’s financial condition – Reflected by financial accounts – Measures of profitability and risk 9 MONASH BUSINESS SCHOOL EXTERNAL PERFORMANCE ▪ Market share – Can the bank respond to changing demand as it moves through the business cycle? – Is the bank growing its share of its chosen markets? ▪ Regulatory compliance – Is the bank comfortably satisfying laws and regulations? – Is it able to respond to changes in requirements? ▪ Public and investor confidence ‐ Does the market perceive the bank as safe and reliable? ‐ A bank cannot operate without public confidence. 10 MONASH BUSINESS SCHOOL QUANTITATIVE ASSESSMENT ▪ Financial analysis – Profitability & performance ratios, risk measures • From financial reports e.g. ROE, ROA, Capital adequacy ▪ Share market data and ratings ▪ Purpose for bank management – Provides measures of past performance – Enables modeling for future planning periods 11 MONASH BUSINESS SCHOOL QUALITATIVE ASSESSMENT ▪ Non-financial analysis – – – – Market perception Range of products & services Corporate citizenship or quality of management Staff morale ▪ Purpose for bank management – Indicates non-financial performance – Validates financial analysis of performance – Contributes to modeling for future planning 12 MONASH BUSINESS SCHOOL LECTURE OUTLINE ▪ Introduction ▪ Data (LO2,3) – Sources of data – Absolute data and ratios – Supplementary data and non-financial information ▪ Financial ratio analysis ▪ Conclusions 13 MONASH BUSINESS SCHOOL SOURCES OF BANKING INFORMATION ▪ ▪ ▪ ▪ ▪ ▪ ▪ ▪ ▪ ▪ Bank annual reports and half-yearly reports Australian Bureau of Statistics (ABS) RBA and APRA Stockbrokers and large accounting firms e.g. KPMG Ratings agencies – e.g. Standard and Poor’s, Moody’s, Fitch Australian Bankers’ Association (ABA) Financial Services Institute of Australasia (FINSIA) Financial press e.g. Australian Financial Review Australian Payments Clearing Association (APCA) Data services e.g. CANSTAR CANNEX 14 MONASH BUSINESS SCHOOL BANK ANNUAL REPORT DATA 1. Balance sheet (statement of financial position) – – Shows the bank’s financial state at a point in time, E.g. Assets, liabilities and net worth 2. Income statement (statement of financial performance) – Shows a bank’s major categories of revenue and expenses over a period of time 3. Statement of changes in equity – – Shows items which impact on the bank’s equity E.g. Share transactions, changes in reserves, retained profits and dividend payments 4. Cash flow statement – All cash inflows and outflows for a given period 15 MONASH BUSINESS SCHOOL BANK ANNUAL REPORT DATA Simplified Balance Sheet Assets Liquidity = Liabilities + Equity Buffer against run on deposits Loans Deposits Funding Buffer against loan losses 16 Capital MONASH BUSINESS SCHOOL BANK ANNUAL REPORT DATA Profit & Loss (Income statement) Interest revenue = = = = Interest expense Net interest income Non-interest revenue Non-interest expense Net non-interest cost Net operating income Tax (30%) Net income Dividends Retained Earnings 17 MONASH BUSINESS SCHOOL ANZ Annual Report (2022), page 108 18 MONASH BUSINESS SCHOOL WHICH BANK IS MORE PROFITABLE? Large bank Small bank Net Income $200 million $20 million Total assets $10 billion $500 million ROA 2% 4% If based on absolute dollar values of net income, then large bank performs better since $200m > $20m BUT… In fact, small bank is more profitable than large bank since its return on assets (ROA) is higher 19 MONASH BUSINESS SCHOOL SUPPLEMENTARY INFORMATION Other items that can be calculated, or may be provided in Notes to the Accounts – – – – – Earning assets (those earning an explicit interest income) Risk weighted capital adequacy (Basel 3) Maturities of investment securities Net write-offs (loan write-offs less recoveries) Past-due loans (late or delinquent loans) 20 MONASH BUSINESS SCHOOL OFF BALANCE SHEET INFORMATION ▪ OBS transactions are significant. ▪ They affect bank revenues, expenses and risks. ▪ Important to look at the level and breakdown of different types of OBS. – Financial guarantees • Direct credit substitutes – e.g. standby letters of credit • Trade and performance-related items – Commitments • E.g. liquidity facilities 21 MONASH BUSINESS SCHOOL SUPPLEMENTARY INFORMATION OUTSIDE THE ACCOUNTS ▪ Share market data – share prices – dividend payments ▪ Credit ratings ▪ Analysts’recommendations ▪ Market shares 22 MONASH BUSINESS SCHOOL NON-FINANCIAL INFORMATION Non-financial information may indicate bank performance (or risk): – Significant management changes? ▪ Maybe there was bad management and hence management was dismissed…? – Recent change of auditors? – Approach to corporate governance? – Conservative method (low estimates) for defining nonperforming loans? 23 MONASH BUSINESS SCHOOL Interactive Activities 1 & 2 ▪ https://h5p.org/node/981219 ▪ https://h5p.org/node/981225 24 MONASH BUSINESS SCHOOL LECTURE OUTLINE ▪ Introduction ▪ Data ▪ Financial ratio analysis – Financial ratios, benefits and problems – DuPont model (breakdown of ROE) LO4 – Example – Other key ratios and supplementary data ▪ Conclusions 25 MONASH BUSINESS SCHOOL FINANCIAL RATIOS ▪ Common size ratios – Balance sheet items as a percentage of total assets or income items as a percentage of total revenue ▪ Profitability ratios based on revenue and cost indicators ▪ Risk measures 26 MONASH BUSINESS SCHOOL FINANCIAL RATIOS ▪ Benefits of Financial Ratios – Allow valid comparisons (reduced impact of differences in size of institutions) ▪ Effective performance measurement relies on – Accurate data – Intelligent interpretation 27 MONASH BUSINESS SCHOOL FINANCIAL RATIOS Financial ratio analysis relies on intelligent interpretation based on comparisons with ▪ Trends – Comparison relative to a bank’s own past performance ▪ Targets – Comparison with the bank’s stated targets/objectives ▪ Peers – Comparison with other similar banks 28 MONASH BUSINESS SCHOOL PROBLEMS WITH RAW DATA ▪ Inaccurate data can give false inputs. ▪ Creative accounting can distort measures. ▪ Accounting data does not always accurately reflect true market values. ▪ Changing accounting standards make trend analysis difficult. – Example: under the new International Financial Reporting Standards (IFRS) of 2005, banks report higher levels of return on equity (ROE) because some items are no longer counted as equity. So reported equity tended to fall and reported ROE tended to rise. 29 MONASH BUSINESS SCHOOL PROBLEMS WITH RATIOS ▪ Averages/aggregates hide the details. ▪ Ratios are backward looking, reflect past performance. ▪ Ratios tend to compartmentalize financial analysis, so it is important to consider linkages, e.g. increase in net interest income may reflect increase in credit risk. ▪ Omissions – Off-balance sheet transactions may be omitted or not comparable. – Share market data are not considered – Qualitative factors are omitted. 30 MONASH BUSINESS SCHOOL EFFECTIVE FINANCIAL ANALYSIS Effective analysis of bank performance includes: – – – – – – Financial ratio analysis Other key indicators Off-balance sheet indicators Share market data Indicators of qualitative performance Indicators of business unit performance 31 MONASH BUSINESS SCHOOL ROE (DUPONT) MODEL ▪ Financial analysis using the ROE model ▪ Uses return to shareholders as the starting point – Based on ratios – Plus detailed data to explain observed changes in financial ratios and their linkages – Structured discussion – Starts with ROE (Return on Equity)…. 32 MONASH BUSINESS SCHOOL MAJOR AUSTRALIAN BANKS - ROE Return on Equity (ROE) = Operating profit after taxes Shareholders’funds Source: Banks’ annual reports and KPMG analysis reports Is this cash? Is ROE related to the share price on the stock exchange? 33 MONASH BUSINESS SCHOOL DUPONT MODEL ▪ Breaks down ROE performance into component parts ▪ An increase in any ratio contributes to an increase in ROE ▪ It is important to investigate risks too i.e. how has a higher ROE been achieved? 34 MONASH BUSINESS SCHOOL REDUCED DUPONT MODEL ▪ It is called the “reduced Dupont Model” or “reduced ROE model” as we will only look at the first 5 ratios Leverage Multiplier ROE Net Income Equity Measures return to shareholders = Measures leverage and dividend policies (financing effectiveness) Total Assets Equity Asset Utilisation x Revenue Total Assets ROA Net Income Total Assets = x Net (Profit) Margin Measures overall operating efficiency Net Income Revenue 35 Measures asset portfolio management (mix and yield) Measures effectiveness of cost controls MONASH BUSINESS SCHOOL EXAMPLE OF DUPONT MODEL Bank A Bank B Assets Total Assets 10 10 10 10 Bank A Bank B Liabilities 7 3 Equities 3 7 Total Liabilities & Equities 10 10 ▪ Which bank is riskier and why? – Leverage multiplier: • Bank A = 10/3 = 3.33x • Bank B = 10/7 = 1.33x • Bank A is riskier as it has more debt. 36 MONASH BUSINESS SCHOOL Source: Eisenbeis, R.A. (2008) The Sub Prime Debacle and Financial Turmoil 37 MONASH BUSINESS SCHOOL FINANCIAL ANALYSIS – DUPONT MODEL ▪ Risk versus return: 𝑅𝑂𝐸 = 𝑅𝑂𝐴 × = 𝑅𝑂𝐴 × 𝐸𝑞𝑢𝑖𝑡𝑦 + 𝐷𝑒𝑏𝑡 𝐸𝑞𝑢𝑖𝑡𝑦 × 𝐷𝑒𝑏𝑡 𝐸𝑞𝑢𝑖𝑡𝑦 = 𝑅𝑂𝐴 Return 𝐴𝑠𝑠𝑒𝑡𝑠 𝐸𝑞𝑢𝑖𝑡𝑦 Credit Risk? 1+ Capital Risk? ▪ Important to investigate risks too 38 MONASH BUSINESS SCHOOL FINANCIAL ANALYSIS: PROCESS 1. 2. 3. 4. Collect the absolute data Calculate the ratios Identify the initial meaning of each ratio Look for the linkages and consider other key ratios Then to complete performance assessment: ▪ Look at share market data, credit ratings, non-financial indicators and other measures of performance ▪ Calculate growth rates and market share See hypothetical example of financial analysis... 39 MONASH BUSINESS SCHOOL 1. COLLECT ABSOLUTE DATA Sample balance sheet $ Assets 2021 Cash/liquidity Loans etc Premises etc Total 2022 8,000,000 10,000,000 120,000,000 121,500,000 2,000,000 2,000,000 130,000,000 133,500,000 Liabilities 2021 2022 Current debt 63,000,000 65,000,000 Long term debt 57,000,000 58,000,000 Equity 10,000,000 10,500,000 130,000,000 133,500,000 Total Sample Income Statement $ 2021 2022 Interest revenue 4,000,000 4,200,000 Interest expense (1,500,000) (1,677,419) Net interest income 2,500,000 2,522,581 Non-interest income 1,000,000 1,100,000 Non-interest expense (1,500,000) (1,500,000) Net non-interest cost (500,000) (400,000) Net operating income 2,000,000 2,122,581 Tax (30%) (600,000) (636,774) Net income 1,400,000 1,485,806 40 MONASH BUSINESS SCHOOL 2. CALCULATE RATIOS ▪ Dupont model: Data required ▪ Using 2021 data from example, calculate: – Revenue = (Interest revenue) + (Non-interest income) – Net income = (Revenue) (Interest expense) – (Noninterest expense) – Taxes – Total assets (average*) – Equity (average*) – Revenue – Net Income – Assets – Equity * Assets for 2020 not provided, so use year end 41 MONASH BUSINESS SCHOOL 3. IDENTIFY INITIAL MEANING OF RATIOS Peer comparison for 2021 ▪ ROE ▪ Leverage multiplier ▪ ROA ▪ Asset utilisation ▪ Net margin 2021 14% 13.0x 1.08% 3.85% 28% 42 Majors 13.83% 13.97x 0.99% 3.50% 28.40% MONASH BUSINESS SCHOOL 3. IDENTIFY INITIAL MEANING OF RATIOS Peer comparison for 2021: Ratios compared with other peer banks (or industry average) Leverage Multiplier 13x Higher/Lower than Majors: Why? ROE 14% = Majors, 2021: 13.83% Higher/Lower: Why? Majors, 2021: 13.97 Asset Utilisation 3.85% x ROA 1.08% = Higher/Lower: Why? Majors, 2021: 3.50% x Net margin Higher/Lower: Why? Majors, 2021: 28.40% 28% Higher/Lower : Why? Majors, 2021: 0.99% 43 MONASH BUSINESS SCHOOL 3. IDENTIFY INITIAL MEANING OF RATIOS Trend comparison 2021 to 2022 ▪ ▪ ▪ ▪ ▪ ROE Leverage multiplier ROA Asset utilisation Net margin 2021 14.0% 13.0x 1.08% 3.85% 28.0% 44 2022 14.2% 12.7x 1.11% 3.97% 28.03% MONASH 44 BUSINESS SCHOOL 4. LOOK FOR LINKAGES Trend comparison 2021 to 2022: Leverage multiplier Fall of 0.3 points (Slightly lower capital risk) 13.0->12.7 ROE 14.0->14.2% = x 3.85->3.97% ROA Increase of 0.2 percentage points Asset Utilisation 1.08->1.11% = x Net margin Increase of 0.03 percentage points 28.0->28.03% 45 Increase of 0.12 percentage points. • Have asset interest rates risen? • Has mix of assets moved to higher credit risk? • Has non-interest income increased? Increase of 0.03 percentage points. • Have costs decreased? • Have non-interest costs fallen? • Lower taxes? MONASH BUSINESS SCHOOL Interactive Activity 3 ▪ https://h5p.org/node/981229 46 MONASH BUSINESS SCHOOL LECTURE OUTLINE ▪ Introduction ▪ Data ▪ Financial ratio analysis – Financial ratios, benefits and problems – DuPont model (breakdown of ROE) – Example – Other key ratios and supplementary data (LO5) ▪ Conclusions 47 MONASH BUSINESS SCHOOL OTHER KEY FINANCIAL RATIOS ▪ Other key ratios such as: – Bank efficiency – Interest differentials – Risk measures – interest rate risk, credit risk, liquidity risk, capital risk (will be covered in subsequent topics) ▪ These ratios can – Help answer some of the questions raised during the ROE analysis – Give additional information 48 MONASH BUSINESS SCHOOL OTHER KEY EFFICIENCY RATIOS ▪ Operating income per employee Net operating income Number of employees (FTE) ▪ Cost to assets ratio: Operating expenses Total Assets ▪ Efficiency ratio, or cost to income ratio Operating expenses Operating income 49 MONASH BUSINESS SCHOOL MAJOR BANKS’ COST TO INCOME KPMG (2022), Major Australian banks: Full year 2022 results analysis, p.19 50 MONASH BUSINESS SCHOOL KEY INTEREST DIFFERENTIAL RATIOS ▪ Net interest income (dollar interest margin) Interest earned - Interest expense ▪ Percentage interest spread – average interest earned on interest earning assets less average interest paid on interest bearing liabilities Interest earnings Interest expense Interest earning assets Interest bearing liabilities ▪ Percentage interest margin (net interest margin) Interest earned - Interest expense Earning assets 51 MONASH BUSINESS SCHOOL INTEREST DIFFERENTIALS EXAMPLE Interest margin ratios: Interest income $500 million Interest expense $280 million Total earning assets at 1 July 2019 $8.1 billion Total earning assets at 30 June 2020 $9.5 billion Interest-bearing liabilities at 1 July 2019 $6.5 billion Interest-bearing liabilities at 30 June 2020 $7.5 billion What are its interest differentials? Solution: Net interest income/margin = $500m - $280m = $220m % net interest margin = $220m/[($8.1b+$9.5b)/2] = 2.5% % interest spread = $500m/[($8.1b+$9.5b)/2] - $280m/[($6.5b+$7.5b)/2] = 5.68% - 4% = 1.68% 52 MONASH BUSINESS SCHOOL MAJOR BANKS’ INTEREST MARGINS KPMG (2022), Major Australian banks: Full year 2022 results analysis, p.7 53 MONASH BUSINESS SCHOOL KEY RISK RATIOS Risk Measurement - Interest rate risk ▪ Interest sensitivity ratio - a sample measure Interest sensitive assets ($RSA) Interest sensitive liabilities ($RSL) ▪ Interpretation: • If ratio = 1 i.e. RSA = RSL – Change in interest rates will affect both income and expense. – Two effects will tend to offset each other. – NET interest income will remain largely unchanged. – Interest rate risk (repricing risk) will be minimised. 54 MONASH BUSINESS SCHOOL KEY RISK RATIOS Risk Measurement - Credit risk (asset quality) ▪ Ratios reflecting losses - a sample measure: Net write-offs Total assets OR Past due loans Total loans ▪ Ratios reflecting the level of diversification – Exposure ratios - example: Loans to farmers (or other industry segment) as a percentage of total assets 55 MONASH BUSINESS SCHOOL KEY RISK RATIOS Risk Measurement - Liquidity risk – Liquidity ratios - sample measures: Liquid assets Total assets Liquid assets Deposits 56 MONASH BUSINESS SCHOOL KEY RISK RATIOS Risk Measurement - Capital risk – Simple capital ratio Shareholders’ funds Total assets – Capital adequacy ratio (CAR) Total regulatory capital Total risk-adjusted assets 57 MONASH BUSINESS SCHOOL MAJOR BANKS’ PROVISIONING FOR CREDIT RISK KPMG (2022), Major Australian banks: Full year 2022 results analysis, p.15 58 MONASH BUSINESS SCHOOL MAJOR BANKS’ CAPITAL RATIOS KPMG (2022), Major Australian banks: Full year 2022 results analysis, p.13 59 MONASH BUSINESS SCHOOL OFF-BALANCE SHEET INDICATORS ▪ Ratios such as: Off-balance sheet business (nominal values) Total balance sheet assets Off-balance sheet credit risk exposures Total risk-weighted assets ▪ Value-at-Risk of off-balance sheet items – – Modern statistical measure of risk VaR = how much a bank might lose over a given time with a given probability 60 MONASH BUSINESS SCHOOL SHARE MARKET DATA Share value – Price/earning ratio (P/E ratio) is the share price divided by bank earnings per share. – If the P/E ratio is higher than average, the market expects that the bank will perform better in the future. 61 MONASH BUSINESS SCHOOL SHAREHOLDERS’ RETURNS Single period shareholder returns: 𝐷𝑖𝑣1 𝑃0 𝑃 −𝑃 rate = 1 0 𝑃0 – Dividend yield = – Capital gain – Shareholders’ total return = dividend yield + capital gain rate 62 MONASH BUSINESS SCHOOL EXAMPLE OF SHAREHOLDERS’ RETURNS Single period shareholder returns: Example: ▪ Share price at beginning of period = $21 ▪ Share price at end of period = $25 ▪ Dividend paid during period = $1.20 Solution: ▪ Dividend yield = ($1.20/$21) x 100 = 5.7% ▪ Capital gain rate = [($25 - $21)/$21] x 100 = 19.0% ▪ Shareholders’total return = {[$1.20 + ($25 - $21)]/$21} x 100 = 24.8% 63 MONASH BUSINESS SCHOOL MAJOR BANKS’ DIVIDEND YIELD VS PAYOUT RATIO KPMG (2022), Major Australian banks: Full year 2022 results analysis, p.21 64 MONASH BUSINESS SCHOOL GROWTH RATES & MARKET SHARE Asset growth rate e.g. for 2020-2021: $133.5𝑏 − $130𝑏 100 × = 2.7% 130 1 – – – – How does this compare to GDP growth (economy)? How does this compare to previous years? How does this compare to other peer banks’growth rates? If high (low) growth: does this reflect more (less) risk taking? Does it reflect more (less) market share? 65 MONASH BUSINESS SCHOOL GROWTH RATES & MARKET SHARE Market-share movements e.g. in 2021: $133.5𝑏 100 × = 𝑋% 𝑇𝑜𝑡𝑎𝑙 𝑎𝑠𝑠𝑒𝑡𝑠 𝑜𝑓 𝑎𝑙𝑙 𝑏𝑎𝑛𝑘𝑠 1 – If gained or lost market share, why? If gain, has the bank ‘bought’ market share (sacrificed margins)? – Can do similar assessments of the bank’s share of the loan market, the deposit market, etc. 66 MONASH BUSINESS SCHOOL LECTURE OUTLINE ▪ ▪ ▪ ▪ Introduction (LO1) Data (LO2,3) Financial ratio analysis (LO4,5) Conclusions 67 MONASH BUSINESS SCHOOL PERFORMANCE ANALYSIS - CONCLUSION Fundamental question is whether shareholder value has been maximized. Good financial analysis requires: (1) Quality inputs (data) – – – – – – Verify the data quality – e.g. look at notes to accounts Ratio analysis focused on ROE Share market indicators of performance Other measures of returns and risks Off-balance sheet indicators Qualitative indicators and external economic and political factors 68 MONASH BUSINESS SCHOOL PERFORMANCE ANALYSIS - CONCLUSION Good financial analysis requires: (2) Comparative analysis i.e. comparisons – Between planning periods (to identify trends) – With competitors/peers – With forecasts/objectives/targets (3) An understanding of the strategic context – Current business/economic climate (4) ‘Drilling down’ to discover WHY ratios change – Look at linkages – Look at risk-adjusted analysis of business units 69 MONASH BUSINESS SCHOOL Copyright © (2023). NOT FOR RESALE. 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