3. Risk Assessment

Model Validation — Quiz

Test your understanding of model validation with 5 practice questions.

Practice Questions

Question 1

Which of the following describes a key challenge in validating machine learning models compared to traditional statistical models?

Question 2

During the backtesting phase of a credit risk model, it is observed that the model's predicted default rates are significantly lower than the actual default rates experienced by the portfolio. This indicates a potential issue with the model's:

Question 3

Consider a Value-at-Risk (VaR) model that is designed to estimate the maximum potential loss over a specific time horizon at a given confidence level. If the model is validated using a backtesting approach, and it is found that the number of actual losses exceeding the VaR estimate is significantly higher than expected, this suggests that the model is:

Question 4

When validating a market risk model, a common assumption is that asset returns follow a normal distribution. Which of the following statistical tests would be most appropriate to challenge this assumption during model validation?

Question 5

A financial institution is implementing a new operational risk model. As part of the model validation process, the team decides to conduct a 'sensitivity analysis'. What is the primary objective of performing sensitivity analysis in this context?