As emphasized by the introduction of Basel II, the macroeconomic factors strongly affect credit risk variables. In order to account for the business cycle in a forward-looking way, a macroeconomic forecast can be introduced in the estimation of credit risk variables. This work proposes to model the distribution of the default rate as a mixture distribution which accounts for a binary representation of the business cycle: the distribution changes according to the estimated probability of recession over the credit horizon considered.
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Find related papers by JEL classification: G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
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