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Chapter 11 Overview – Part A. This chapter discusses types of loans, and the analysis and measurement of credit risk on individual loans. This is important for purposes of: Pricing loans and bonds Designing loan products Setting limits on credit risk exposure.
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Chapter 11 Overview – Part A • This chapter discusses types of loans, and the analysis and measurement of credit risk on individual loans. This is important for purposes of: • Pricing loans and bonds • Designing loan products • Setting limits on credit risk exposure
Introduction To Credit Risk Forms of credit risk Where do banks face credit risk? Performance Impact on bank profits Accounting Methods of measuring/Monitoring Risk
Methods of Measuring/Monitoring Risk Linear-Discriminant Models Altman Z-score Term Structure of Credit Risk Option-based models Value the default option Loan value = balance – option value Merton-Miller 1970’s Only implemented recently Key Equipment Financial uses this
Forms of Credit Risk Default Down-grade Spread
Where Banks Face Credit Risk Loans Usually secured Loan Commitments Letters of Credit Derivative positions (fundamental) Counter-party risk
Default does not = 100% loss Often, some amount isrecovered Estimate loss = EDF x (1-recovery rate)
How Loan Losses Impact Banks Expense loan loss costs each period: Provision for loan losses Loan loss reserve Charge-off a loan: Loan loss reserve Loan Balances Note trends in allowance and adequacy of reserves versus loans outstanding
Credit Quality Problems Pre-Crisis • Historical problems with: • junk bonds • LDC loans & Debt • Argentina, Brazil, Russia, South Korea • Farm mortgage loans • Commercial real estate loans
Credit Quality Problems • Current problems • Sub-prime mortgages • Spread to prime mortgages due to LTV • Commercial & Industrial loans at “normal” recession levels so far • Sovereign debt of developed countries • Greece • Ireland • Portugal • Italy • Spain
Additional issues in Credit Quality • Default of one major borrower can have significant impact on value and reputation of many FIs • Diversification may be illusory • Individual bank and systemic risk related to counterparty risk
Types of Loans: • C&I loans: secured and unsecured • Solo or syndication • Spot loans, Loan commitments • Decline in C&I loans originated by commercial banks and growth in commercial paper market. • RE loans: primarily mortgages • Fixed-rate, ARM • Mortgages can be subject to default risk when loan-to-value increases. • HELs • Commercial RE loans totally separate market
Consumer loans • Individual (consumer) loans: personal, auto, credit card. • Nonrevolving loans • Automobile, mobile home, personal loans • Growth in credit card debt • Visa, MasterCard • Proprietary cards such as Sears, AT&T • Consolidation among credit card issuers • Bank of America & MBNA • Risks affected by competitive conditions and usury ceilings • Bankruptcy Reform Act of 2005
Other loans • Other loans include: • Farm loans • Other banks • Nonbank FIs • Broker margin loans • Foreign banks and sovereign governments • State and local governments
Impact of Securities Markets on Banks • $2 trillion Commercial paper • $2 trillion Investment grade bonds • $4 trillion Residential mortgages • Also: • Auto loans • Credit card balances • Commercial real estate loans • Even commercial loans themselves!
Performance Varies by loan type and lending quality Some aggregate Data:
Loan Types Differ in Many Ways • Size of the typical loan • Availability/quality of collateral • Degree of credit screening • Degree of credit monitoring • Degree of customization • Covenants • Structure
Altman’s Linear Discriminant Model: • Z=1.2X1+ 1.4X2 +3.3X3 + 0.6X4 + 1.0X5 Critical value of Z = 1.81. • X1 = Working capital/total assets. • X2 = Retained earnings/total assets. • X3 = EBIT/total assets. • X4 = Market value equity/ book value of total liabilities • X5 = Sales/total assets.
Linear Discriminant Model • Problems: • Only considers two extreme cases (default/no default). • Weights need not be stationary over time. • Ignores hard to quantify factors including business cycle effects. • Database of defaulted loans is not available to benchmark the model.