Fat-tailed models for risk estimation

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.

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Year of publication:	2011
Authors:	Stoyanov, Stoyan V. ; Rachev, Svetlozar T. ; Racheva-Iotova, Boryana ; Fabozzi, Frank J.
Publisher:	Karlsruhe : Karlsruher Institut für Technologie (KIT), Institut für Volkswirtschaftslehre (ECON)

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Series:	KIT Working Paper Series in Economics ; 30
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	10.5445/IR/1000023244 [DOI] 659400324 [GVK] hdl:10419/45631 [Handle] RePEc:zbw:kitwps:30 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010304717