Financial Risk Management Zvi Wiener 02-588-3049 http://pluto.mscc.huji.ac.il/~mswiener/zvi.html Jan-02 Risk Management Zvi Wiener Feb-2001 slide 2 Risk • Business Risk • Financial Risk – market risk – credit risk – liquidity risk Zvi Wiener • Operational Risk • Legal Risk Feb-2001 slide 3 Risk Management • Examples of good and bad risk management • Good or bad risk management is NOT the same as profits and losses. • There are many examples of good RM that lead to losses and bad RM that lead to gains. Zvi Wiener Feb-2001 slide 4 Barings Zvi Wiener • February 26, 1995 • 233 year old bank • 28 year old Nick Leeson • $1,300,000,000 loss • bought by ING for $1.5 Feb-2001 slide 5 Metallgesellshaft • 14th largest industrial group • 58,000 employees • offered long term oil contracts • hedge by long-term forward contracts • short term contracts were used (rolling hedge) • 1993 price fell from $20 to $15 • $1B margin call in cash Zvi Wiener Feb-2001 slide 6 Orange County • Bob Citron, the county treasures • $7.5B portfolio (schools, cities) • borrowed $12.5B, invested in 5yr. notes • interest rates increased • reported at cost - big mistake! • realized loss of $1.64B Zvi Wiener Feb-2001 slide 7 Public Funds • Orange County • San Diego • West Virginia • Florida State Treasury • Cuyahoga County • Texas State Zvi Wiener Feb-2001 ($ million) 1,640 357 279 200 137 55 slide 8 Derivatives 1993-1995 •Shova Shell, Japan •Kashima Oil, Japan •Metallgesellschaft •Barings, U.K. •Codelco, Chile •Procter & Gamble, US Zvi Wiener Feb-2001 ($ million) 1,580 1,450 1,340 1,330 200 157 slide 9 Investec Clali, Jan-01 Client bought put options without sufficient funds. Loss is 8-15M NIS. Zvi Wiener Feb-2001 slide 10 Financial Losses • Barings • Bank Negara, Malaysia 92 • Banesto, Spain • Credit Lyonnais • S&L, U.S.A. • Japan Zvi Wiener Feb-2001 $1.3B $3B $4.7B $10B $150B $500B slide 11 Value of an Option at Expiration E. Call X Zvi Wiener Feb-2001 Underlying slide 12 Call Value before Expiration E. Call X Zvi Wiener Feb-2001 Underlying slide 13 Call Value before Expiration E. Call premium X Zvi Wiener Feb-2001 Underlying slide 14 Put Value at Expiration E. Put X X Zvi Wiener Feb-2001 Underlying slide 15 Put Value before Expiration E. Put X premium X Zvi Wiener Feb-2001 Underlying slide 16 Collar • Firm B has shares of firm C of value $200M • They do not want to sell the shares, but need money. • Moreover they would like to decrease the exposure to financial risk. • How to get it done? Zvi Wiener Feb-2001 slide 17 Collar 1. Buy a protective Put option (3y to maturity, strike = 90% of spot). 2. Sell an out-the-money Call option (3y to maturity, strike above spot). 3. Take a “cheap” loan at 90% of the current value. Zvi Wiener Feb-2001 slide 18 Collar payoff payoff K 90 90 Zvi Wiener 100 Feb-2001 K stock slide 19 Options in Hi Tech Many firms give options as a part of compensation. There is a vesting period and then there is a longer time to expiration. Most employees exercise the options at vesting with same-day-sale (because of tax). How this can be improved? Zvi Wiener Feb-2001 slide 20 Long term options payoff Your option K Result 50 k Zvi Wiener K Feb-2001 Sell a call stock slide 21 Example You have 10,000 vested options for 10 years with strike $5, while the stock is traded at $10. An immediate exercise will give you $50,000 before tax. Selling a (covered) call with strike $15 will give you $60,000 now (assuming interest rate 6% and 50% volatility) and additional profit at the end of the period! Zvi Wiener Feb-2001 slide 22 Example payoff K Result Your option 60 50 exercise 10 Zvi Wiener 15 Feb-2001 26 slide 23 How much can we lose? Everything correct, but useless answer. How much can we lose realistically? Zvi Wiener Feb-2001 slide 24 What is the current Risk? • Bonds • Stocks • Options • Credit • Forex • Total Zvi Wiener duration, convexity volatility delta, gamma, vega rating target zone ? Feb-2001 slide 25 Standard Approach Zvi Wiener Feb-2001 slide 26 Modern Approach Financial Institution Zvi Wiener Feb-2001 slide 27 Risk Management • Risk measurement • Reporting to board • Limits monitoring • Diversification, reinsurance • Vetting Zvi Wiener • Reporting to regulators • Decision making based on risk Feb-2001 slide 28 Who manages risk? Citibank AIG Nike Bank of England General Re Sony CIBC Swiss Re Dell Computers J. P. Morgan Aetna Philip Morris Bankers Trust Zurich Ford Motor Zvi Wiener Feb-2001 slide 29 Regulators Zvi Wiener • BIS • FSA • SEC • ISDA • FASB • Bank of Israel • Galai’s committee Feb-2001 slide 30 Basic Steps in RM process Zvi Wiener • Identify risks • Data base (market + position) • Risk measurement • Regulators • Risk Management • Reporting • Strategic decisions Feb-2001 slide 31 Building a RM system • Initial study of risks • Decision, Risk Manager • Risk measurement system • Responsibilities and structure • Testing Zvi Wiener • Active Risk Management • Staff training and maintenance Feb-2001 slide 32 Risk Management and Risk Measurement Zvi Wiener Feb-2001 slide 33 Risk Management System Can NOT • Predict future • Identify business opportunities • Be always right! Risk Management System Can • Predict loss, given event • Identify most dangerous scenarios • Recommend how to change risk profile Zvi Wiener Feb-2001 slide 34 Tool, not rule! Limits, Duration, ALM, DFA, VaR Zvi Wiener Feb-2001 slide 35 Definition VaR is defined as the predicted worst-case loss at a specific confidence level (e.g. 99%) over a certain period of time. Zvi Wiener Feb-2001 slide 36 VaR 1 0.8 0.6 0.4 VaR1% 1% 0.2 Profit/Loss -3 Zvi Wiener -2 -1 1 Feb-2001 2 3 slide 37 Meaning of VaR A portfolio manager has a daily VaR equal $1M at 99% confidence level. This means that there is only one chance in 100 that a daily loss bigger than $1M occurs, under normal market conditions. VaR 1% Zvi Wiener Feb-2001 slide 38 History of VaR • 80’s - major US banks - proprietary • 93 G-30 recommendations • 94 - RiskMetrics by J.P.Morgan • 98 - Basel • SEC, FSA, ISDA, pension funds, dealers • Widely Zvi Wiener used and misused! Feb-2001 slide 39 Risk Management Structure Market data Current position Risk Mapping Valuation Value-at-Risk Reporting and Risk Management Zvi Wiener Feb-2001 slide 40 Value 8.25 8 7.75 7.5 7.25 10 4.3 4.25 4.2 11 4.15 12 13 Interest Rate 14 4.1 dollar interest rates and dollar are NOT independent Zvi Wiener Feb-2001 slide 41 Risk Measuring Software • CATS, CARMA • Algorithmics, Risk Watch • Infinity • J.P. Morgan, FourFifteen • FEA, Outlook • Reuters, Sailfish • Kamacura • Bankers Trust, RAROC • INSSINC, Orchestra Zvi Wiener Feb-2001 slide 42 Qualitative Requirements • An independent risk management unit • Board of directors involvement • Internal model as an integral part • Internal controller and risk model • Backtesting • Stress test Zvi Wiener Feb-2001 slide 43 Quantitative Requirements • 99% confidence interval • 10 business days horizon • At least one year of historic data • Data base revised at least every quarter • All types of risk exposure • Derivatives Zvi Wiener Feb-2001 slide 44 Types of Assets and Risks • Real projects - cashflow versus financing • Fixed Income • Optionality • Credit exposure • Legal, operational, authorities Zvi Wiener Feb-2001 slide 45 Risk Factors There are many bonds, stocks and currencies. The idea is to choose a small set of relevant economic factors and to map everything on these factors. • Exchange rates • Interest rates (for each maturity and indexation) • Spreads • Stock indices Zvi Wiener Feb-2001 slide 46 How to measure VaR • Historical Simulations • Variance-Covariance • Monte Carlo • Analytical Zvi Wiener Methods Feb-2001 slide 47 Historical Simulations • Fix current portfolio. • Pretend that market changes are similar to those observed in the past. Zvi Wiener • Calculate P&L (profit-loss). • Find the lowest quantile. Feb-2001 slide 48 Returns year 1% of worst cases Zvi Wiener Feb-2001 slide 49 VaR 1 0.8 0.6 0.4 VaR1% 1% 0.2 Profit/Loss -3 Zvi Wiener -2 -1 1 Feb-2001 2 3 slide 50 Weights Since old observations can be less relevant, there is a technique that assigns decreasing weights to older observations. Typically the decrease is exponential. See RiskMetrics Technical Document for details. Zvi Wiener Feb-2001 slide 51 Variance Covariance • Means and covariances of market factors • Mean and standard deviation of the portfolio • Delta or Delta-Gamma approximation • VaR1%= • P – 2.33 P Based on the normality assumption! Zvi Wiener Feb-2001 slide 52 Variance-Covariance VaR1% V 2.33 V 1% 2.33 -2.33 Zvi Wiener Feb-2001 slide 53 Monte Carlo 1 0.5 -1 0.5 -0.5 1 -0.5 -1 Zvi Wiener Feb-2001 slide 54 Monte Carlo • Distribution of market factors • Simulation of a large number of events • P&L for each scenario • Order the results • VaR Zvi Wiener = lowest quantile Feb-2001 slide 55 Monte Carlo Simulation 15 10 5 10 20 30 40 -5 -10 -15 Zvi Wiener Feb-2001 slide 56 Real Projects Most daily returns are invisible. Proper financing should be based on risk exposure of each specific project. Note that accounting standards not always reflect financial risk properly. Zvi Wiener Feb-2001 slide 57 Example • You are going to invest in Japan. • Take a loan in Yen. • Financial statements will reflect your investment according to the exchange rate at the day of investment and your liability will be linked to yen. • Actually Zvi Wiener there is no currency risk. Feb-2001 slide 58 Airline company • fuel - oil prices and $ • purchasing airplanes - $ and Euro • salaries - NIS, some $ • tickets $ • marketing - different currencies • payments to airports for services Zvi Wiener Feb-2001 slide 59 Airline company Zvi Wiener • loans • equity • callable bonds Feb-2001 slide 60 Airline company Base currency - by major stockholder. Time horizon - by time of possible price change. Earnings at risk, not value at risk, since there is too much optionality in setting prices. One can create a one year cashflow forecast and measure its sensitivity to different market events. Zvi Wiener Feb-2001 slide 61 Reporting Division of VaR by business units, areas of activity, counterparty, currency. Performance measurement - RAROC (Risk Adjusted Return On Capital). Zvi Wiener Feb-2001 slide 62 How VaR is used • Internal Risk Management • Reporting • Regulators Zvi Wiener Feb-2001 slide 63 Backtesting Verification of Risk Management models. Comparison if the model’s forecast VaR with the actual outcome - P&L. Exception occurs when actual loss exceeds VaR. After exception - explanation and action. Zvi Wiener Feb-2001 slide 64 Backtesting Green zone - up to 4 exceptions OK Yellow zone - 5-9 exceptions increasing k Red zone - 10 exceptions or more intervention Zvi Wiener Feb-2001 slide 65 Stress Designed to estimate potential losses in abnormal markets. Extreme events Fat tails Central questions: How much we can lose in a certain scenario? What event could cause a big loss? Zvi Wiener Feb-2001 slide 66 Unifying Approach • One number • Based on Statistics • Portfolio Theory • Verification • Widely Accepted • Zvi Wiener Easy Comparison Feb-2001 slide 67 Board of Directors (Basle, September 1998) • periodic discussions with management concerning the effectiveness of the internal control system • a timely review of evaluations of internal controls made by management, internal and external auditors • periodic efforts to ensure that management has promptly followed up on recommendations and concerns expressed by auditors and supervisory authorities on internal control weaknesses • a periodic review of the appropriateness of the bank’s strategy and risk limits. Zvi Wiener Feb-2001 slide 68 Open Questions Zvi Wiener • Risks related to cashflow • Non-traded assets • Credit information • Global Database • Liquidity problem Feb-2001 slide 69 Issues Specific to Israel Zvi Wiener • Indexation • Exchange Band • Shallow Markets Feb-2001 slide 70 pluto.mscc.huji.ac.il/~mswiener/ Risk Management resources • Useful Internet sites • Regulators • Insurance Companies • Risk Management in SEC reports Zvi Wiener Feb-2001 slide 71 Zvi Wiener Feb-2001 slide 72 How to hedge financial risk? • Static hedge Forwards agreements that fix the price Futures Options static hedge • Dynamic delta or vega hedge, with a variable amount of options held. It is applicable if there is a very liquid market and low transaction costs. Zvi Wiener Feb-2001 slide 73 RMG • http://www.riskmetrics.com/ • http://www.pictureofrisk.com/ • http://www.riskmetrics.com/rm/splash.html • rmgaccess Zvi Wiener Feb-2001 slide 74 Consulting • Oliver, Wyman and Co. • Willis Zvi Wiener Corroon • Richard Scora • Ernst and Young • Enterprise Advisors • Kamakura Feb-2001 slide 75 Examples of Risk Reports http://www.pictureofrisk.com http://www.mbrm.com/ http://www.riskmetrics.com/rm/splash.html Zvi Wiener Feb-2001 slide 76 Regulators • • BIS G-30 FSA SEC market risk disclosure rules market risk reporting FED, FRB our GARP report Swiss Central Bank Financial Accounting Standards Board Zvi Wiener Feb-2001 • • • • • • • • slide 77 SEC reports • Edgar • Yahoo – find symbol – profile – raw SEC reports Zvi Wiener market risk in 10K 7A Feb-2001 slide 78 3 methods • Sensitivity – requires a deep understanding of positions • Tabular – when there are 1-2 major risk factors • Value-at-Risk – for active risk management Zvi Wiener Feb-2001 slide 79 KPMG report Survey of disclosures: SEC Market Risk, 1999 SEC: http://www.sec.gov/smbus/forms/regsk.htm#quan http://www.sec.gov/rules/othern/derivfaq.htm GARP http://www.garp.com/ Zvi Wiener Feb-2001 slide 80 World Experience • Bankers Trust, J.P. Morgan, investment banks • Bank regulators, commercial banks • Insurance, dealers • Investment funds (LTCM) • Real companies • Investors learn to read risk information! Zvi Wiener Feb-2001 slide 81 Agriculture www.cfonet.com/html/Articles/CFO/1999/99APkita.html 1998 revenues $1.25B consulting Willis Corroon Zvi Wiener Feb-2001 slide 82 Nike • Salaries are paid in Asia • Shoes are sold worldwide • Financing comes from USA • Marketing, storing, shipping worldwide use VaR since 1998. Zvi Wiener Feb-2001 slide 83 Merck http://www.palisade-europe.com/html/Articles/merck.html http://www.sec.gov/Archives/edgar/data/64978/000095012 3-99-005573-index.html see “sensitivity” Zvi Wiener Feb-2001 slide 84 Articles Value at Risk as a Diagnostic Tool for Corporates: The Airline Industry http://netec.mcc.ac.uk/WoPEc/data/Papers/dgruvati n19990023.html Agricultural Applications of Value-at-Risk Analysis: A Perspective http://netec.mcc.ac.uk/WoPEc/data/Papers/wpawu wpfi9805002.html Zvi Wiener Feb-2001 slide 85 Publications “The New Risk Management: the Good, the Bad, and the Ugly”, P. Dybvig, W. Marshall http://dybfin.olin.wustl.edu/research/papers/riskma n_fed.pdf Association for Investment Management and Research http://www.aimr.org/ Zvi Wiener Feb-2001 slide 86 Web tour • ZW, students, VaR and risk management • Gloriamundy • GARP • SEC reports • Google Zvi Wiener Feb-2001 slide 87 What is more risky and why? A. 1 year bond B. 10 year bond Zvi Wiener Feb-2001 slide 88 What is more risky and why? A. An in-the-money option? B. An out-of-the-money option? Zvi Wiener Feb-2001 slide 89