Stefan Mittnik () (Ludwig-Maximilians-University Munich, Center for Financial Studies, Frankfurt, and Ifo Institute for Economic Research, Munich) Tina Yener (Ludwig-Maximilians-University Munich)
Abstract
Abstract. We show that the use of correlations for modeling dependencies may lead to counterintuitive behavior of risk measures, such as Value-at-Risk (VaR) and Expected Short- fall (ES), when the risk of very rare events is assessed via Monte-Carlo techniques. The phenomenon is demonstrated for mixture models adapted from credit risk analysis as well as for common Poisson-shock models used in reliability theory. An obvious implication of this finding pertains to the analysis of operational risk. The alleged incentive suggested by the New Basel Capital Accord (Basel II), namely decreasing minimum capital requirements by allowing for less than perfect correlation, may not necessarily be attainable.
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Publisher Info
Paper provided by Center for Financial Studies in its series CFS Working Paper Series with number
2008/14.