Fat-tailed models for risk estimation

Stoyan V. Stoyanov, Svetlozar T. Rachev, Boryana Racheva-Iotova and Frank Fabozzi ()

No 30, Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management

Abstract: In the post-crisis era, financial institutions seem to be more aware of the risks posed by extreme events. Even though there are attempts to adapt methodologies drawing from the vast academic literature on the topic, there is also skepticism that fat-tailed models are needed. In this paper, we address the common criticism and discuss three popular methods for extreme risk modeling based on full distribution modeling and and extreme value theory.

Date: 2011
New Economics Papers: this item is included in nep-ban, nep-ecm and nep-rmg
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:kitwps:30

DOI: 10.5445/IR/1000023244

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