This lesson explores the core of banking risk—credit risk—from assessing individual borrowers to managing the risk of a whole loan portfolio.

3.1 The Evolution of Credit Risk Principles
Credit risk is the possibility of loss from a borrower’s failure to meet obligations or from a change in their creditworthiness . Its management is a critical strategic function. While the fundamental principles of sound credit risk management are consistent, regulatory expectations continue to evolve. The Basel Committee’s Principles for the Management of Credit Risk (revised in 2025) provide a key global benchmark .

These principles are organized into four key areas:

  1. Establishing a suitable credit risk environment: This is about governance and strategy. It requires the board and senior management to set the “tone at the top” and define the bank’s risk appetite .

  2. Operating under a sound credit-granting process: This focuses on the operational front line. The process for originating credit must ensure a thorough understanding of the borrower’s risk profile and the characteristics of the exposure. This includes integrating forward-looking data, macroeconomic factors, and stress scenarios into the assessment .

  3. Maintaining an appropriate credit administration, measurement, and monitoring process: This covers the ongoing lifecycle of the loan. Banks must have robust systems to monitor exposures, manage concentration risk, and ensure every exposure is rated with an internal rating method .

  4. Ensuring adequate controls over credit risk: This relates to internal controls and independent oversight. The credit risk framework must be subject to rigorous internal audit and validation .

3.2 Individual Loan Risk
The first line of defense is assessing the risk of a single borrower. This involves both qualitative and quantitative analysis:

  • Borrower Risk Analysis: This goes beyond financial statements to include a thorough understanding of the borrower’s business model, industry dynamics, management quality, and competitive advantages.

  • Probability of Default (PD): The likelihood that a borrower will default on their obligations. This is often estimated using internal rating models, external credit ratings, or credit scoring models (e.g., logit models) .

  • Loss Given Default (LGD): The percentage of the exposure that will be lost if the borrower defaults. This is heavily influenced by the quality and enforceability of collateral .

  • Exposure at Default (EAD): The total value of the exposure outstanding at the time of default. For revolving credit facilities, this is a key challenge to estimate.

3.3 Portfolio Risk Management
Managing the risk of a portfolio of loans is different from managing individual risks, as it requires understanding the correlations between borrowers. Diversification is a key principle, but risks can be “hidden” in the form of high concentrations.

Concentration Risk is a major focus of modern regulation, with banks expected to actively identify and manage it based on single name, collateralization, and other sources . This includes:

  • Name Concentration: Large exposures to a single borrower or a group of connected counterparties.

  • Sectoral/Industry Concentration: Over-exposure to a specific economic sector (e.g., real estate, commodities) that could be hit by a single shock.

  • Geographic Concentration: Over-exposure to a specific region.

3.4 Key Measurement Models
Sophisticated quantitative models are used to measure credit risk at a portfolio level. These models are not just for regulatory compliance but are strategic enablers for understanding risk .

  • CreditMetrics: A “marked-to-market” model that looks at the change in value of a portfolio due to credit rating migrations (upgrades and downgrades) as well as defaults .

  • KMV/Merton Model: A structural model that uses equity prices to estimate the probability of default for a publicly traded firm.

  • Portfolio Theory: Applying modern portfolio theory to loan portfolios to understand how diversification reduces the overall risk of the portfolio for a given level of expected return.

 

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