Value at Risk methods can be used with respect to the likelihood of changes in credit risk
over time. Explain how this technique can be applied within the context of credit migration
data published by CRA’s. Illustrate how one might be able to calculate the Credit VaR for a
particular bond at the 99% confidence level over a one year time horizon. Discuss why
interpolation will provide a more accurate assessment of the VaR than a purely parametric
approach to the calculation