Modeling and model validation of the impact of the economy on the credit risk of credit card portfolios

ABSTRACT Since the global credit crunch, lenders have recognized how critical it is to assess the default risk of portfolios of consumer borrowing under different economic environments. We describe a Markov chain model for revolving consumer credit accounts based on consumers' behavioral scores that includes the impact of the economy on the risk migration of credit card accounts. We use two credit card data sets, one from Hong Kong and one from the UK, to validate the model, and hence provide empirical evidence to encourage lenders to use macroeconomic measurements to estimate the default risk in credit card portfolios. The models show how economic variables such as unemployment and price indexes have an impact, both directly, by changing the dynamics of the credit scores, and indirectly, by affecting how many credit card accounts become inactive or reactive themselves. The model also shows the difference in impact that economic changes have on transactors and revolvers.