Sample-path large deviations in credit risk

V.J.G. Leijdekker, M.R.H. Mandjes, P.J.C. Spreij

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
56 Downloads (Pure)

Abstract

The event of large losses plays an important role in credit risk. As these large losses are typically rare, and portfolios usually consist of a large number of positions, large deviation theory is the natural tool to analyze the tail asymptotics of the probabilities involved. We first derive a sample-path large deviation principle (LDP) for the portfolio's loss process, which enables the computation of the logarithmic decay rate of the probabilities of interest. In addition, we derive exact asymptotic results for a number of specific rare-event probabilities, such as the probability of the loss process exceeding some given function.
Original languageEnglish
Article number354171
Pages (from-to)354171-1/28
Number of pages28
JournalJournal of Applied Mathematics
Volume2011
DOIs
Publication statusPublished - 2011

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