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Credit Risk

Risk Management · intermediate · CC-BY-4.0

Credit risk is the probability that a borrower, bond issuer, or counterparty will fail to meet its contractual financial obligations, resulting in a loss to the lender or investor. It encompasses both the likelihood of default and the magnitude of loss given that default occurs.

Key takeaways

Explanation

Credit risk arises whenever one party extends resources—cash, goods, or services—to another in exchange for a future repayment promise. In capital markets, it manifests most visibly in fixed income securities and over-the-counter derivative contracts, where the value of the instrument depends critically on the creditworthiness of the obligor. The Basel III regulatory framework categorizes credit risk into default risk (failure to pay principal or interest), migration risk (deterioration in credit quality short of default), and credit spread risk (widening of spreads that reduces market value even without default).

Quantitative credit models typically decompose expected credit loss (ECL) into three parameters. Probability of Default (PD) represents the statistical likelihood of a borrower failing to honor obligations within a given horizon, usually estimated from historical data, structural models (Merton model), or reduced-form hazard rate models. Loss Given Default (LGD) measures the fraction of exposure the lender loses after recovery through collateral liquidation, bankruptcy proceedings, or restructuring; senior secured debt typically carries LGD of 20–40%, while subordinated unsecured bonds may face LGD exceeding 80%. Exposure at Default (EAD) captures the total exposure at the moment default occurs, which is straightforward for term loans but complex for revolving credit facilities and derivatives, where future draw-downs or mark-to-market movements influence the number.

Beyond individual obligor analysis, portfolio-level credit risk management focuses on correlation and concentration effects. During the 2008 financial crisis, correlation across mortgage borrowers—previously assumed to be near zero in structured credit models—surged dramatically, causing catastrophic losses in CDO tranches rated AAA based on diversification assumptions. Modern credit risk managers use copula models, scenario analysis, and stress tests to capture tail correlation dynamics that mean-variance frameworks miss.

For hedge funds, credit risk permeates multiple strategies. Long/short credit funds take directional views on spread movements and default probabilities; distressed debt funds buy impaired obligations expecting recovery or restructuring value to exceed market price; and credit arbitrage funds exploit relative value between instruments in the same capital structure. In each context, robust credit underwriting, position sizing relative to risk limits, and dynamic hedging via credit default swaps (CDS) are essential tools for managing credit exposure within fund mandates.

Formula

Expected Credit Loss (ECL) = PD × LGD × EAD

Example

A hedge fund purchases $10 million face value of a BB-rated leveraged buyout bond trading at 85 cents on the dollar (market value $8.5 million). The fund's internal model assigns a 5% one-year PD, a 50% LGD, and full EAD of $10 million, implying an expected credit loss of $250,000 (5% × 50% × $10M). The fund also buys CDS protection at a spread of 300 bps on $5 million notional, paying $150,000 annually, thereby hedging roughly half the expected loss. When the issuer's earnings disappoint and its credit rating is downgraded to B+, the bond falls to 78 cents and the CDS position gains approximately $400,000 in mark-to-market value, partially offsetting the $700,000 decline on the unhedged portion.

Related terms

Arbitrage Basel Iii Bond Capital Structure Conditional Value At Risk Copula Correlation Credit Rating Credit Spread Default Distressed Debt Diversification