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Using monthly data for a set of variables, we examine the out-of-sample performance of various variance/covariance models and find that no model has consistently outperformed the others. We also show that it is possible to increase the probability mass toward the tails and to match reasonably...
Persistent link: https://www.econbiz.de/10005825598
As is well known, most models of credit risk have failed to measure the credit risks in the context of the global financial crisis. In this context, financial industry representatives, regulators and academics worldwide have given new impetus to efforts to improve credit risk modeling for...
Persistent link: https://www.econbiz.de/10008528651
statistics for sequential testing. We show that, for most types of data generating processes in samples with as low as 50 …
Persistent link: https://www.econbiz.de/10005264217