CFA Level II ExamFixed IncomeMedium
A financial institution is evaluating the credit risk of a large portfolio of consumer loans. The institution wants to understand the probability of default for individual borrowers based on observable characteristics such as credit score, income, and debt-to-income ratio. Which of the following credit analysis models is most appropriate for this type of assessment?
- AReduced Form Model
- BMerton Model (Structural Model)
- CContingent Claims Model
- DCredit Scoring Model
Show answer & explanationAnswer & explanation
Correct answer: D. Credit Scoring Model
Credit scoring models (like FICO or internal models) use statistical techniques to assign a numerical score to borrowers based on their observable financial characteristics. These scores are then used to estimate the probability of default for individual loans or borrowers, making them highly appropriate for consumer loan portfolios.
Why the other options are wrong
- A. Reduced Form Models model default as a random event and focus on the intensity of default, often using macroeconomic variables, less on individual borrower characteristics for consumer loans.
- B. The Merton Model is a structural model that views a company's equity as a call option on its assets, more suited for corporate, publicly traded entities, not individual consumer loans.
- C. Contingent Claims Model is another name for structural models like the Merton Model, and thus not suitable for this application.
Credit Scoring Models
Credit scoring models are statistical models used to predict the probability of default for individual borrowers, typically consumers, based on their financial history and characteristics, assigning a numerical score.
- Uses observable characteristics like credit history, income, employment.
- Commonly applied to retail credit (credit cards, mortgages, auto loans).
- Helps lenders make automated lending decisions quickly and consistently.
Memory trick: Scores for consumers, for lending's best users.