What is credit risk and how is it measured?
Learn from Mathematical Finance

Credit risk is the potential for financial loss resulting from a borrower’s failure to repay a loan or meet contractual obligations. This type of risk is crucial for lenders, investors, and financial institutions as it directly impacts their profitability and stability.
Key Components of Credit Risk
1. Default Risk: The primary aspect of credit risk, default risk, occurs when a borrower is unable to make the required payments.
2. Credit Spread Risk: This involves the risk of the widening difference between the yields of two bonds of similar maturity but different credit quality.
3. Counterparty Risk: The risk that the counterparty to a transaction may fail to fulfill their contractual obligations.
4. Concentration Risk: The risk associated with a lender's exposure being overly concentrated in a single borrower, industry, or geographic region.
How Credit Risk is Measured
1. Credit Rating: Credit rating agencies like Moody’s, S&P, and Fitch assess the creditworthiness of borrowers and assign ratings that indicate the level of credit risk. Higher ratings signify lower risk.
2. Credit Scoring: For individuals, credit scores such as FICO or VantageScore are used. These scores are based on factors like payment history, credit utilization, length of credit history, types of credit used, and recent inquiries.
3. Probability of Default (PD): This metric estimates the likelihood that a borrower will default on their obligations within a specific time frame. PD is often determined using statistical models and historical data.
4. Loss Given Default (LGD): This represents the amount of loss a lender incurs if the borrower defaults, expressed as a percentage of the total exposure. LGD takes into account the recovery rate of defaulted assets.
5. Exposure at Default (EAD): This measures the total value that a lender is exposed to at the time of default. It includes the outstanding balance and any undrawn credit lines.
6. Expected Loss (EL): This is calculated as the product of PD, LGD, and EAD. It represents the anticipated loss over a certain period and helps in setting aside reserves for potential defaults.
7. Value at Risk (VaR): While traditionally used in market risk, VaR can also apply to credit risk by estimating the maximum potential loss over a given time period with a specific confidence level.
8. Stress Testing: Financial institutions conduct stress tests to evaluate how their portfolios would perform under adverse economic conditions. These tests help in understanding the potential impact of extreme scenarios on credit risk.
9. Credit Risk Models: Advanced models like the Z-score, KMV model, and the CreditMetrics framework are used to assess credit risk. These models incorporate various financial metrics and economic indicators to predict the likelihood of default.
Mitigating Credit Risk
1. Diversification: Spreading exposures across different borrowers, industries, and geographies to reduce concentration risk.
2. Collateral: Securing loans with collateral can reduce potential losses as the lender can seize the asset in case of default.
3. Covenants: Imposing covenants in loan agreements that require borrowers to meet certain financial conditions, which helps in early detection of potential defaults.
4. Credit Derivatives: Instruments like credit default swaps (CDS) allow lenders to transfer credit risk to other parties.
5. Continuous Monitoring: Regularly assessing the creditworthiness of borrowers and adjusting terms as necessary based on their financial health and market conditions.
Understanding and measuring credit risk is essential for managing a healthy financial portfolio and ensuring the stability of financial institutions. Through careful analysis and implementation of risk mitigation strategies, lenders can protect themselves against potential losses and maintain financial stability.