An Application of Extreme Value Theory for Measuring Financial Risk

Assessing the probability of rare and extreme events is an important issue in the risk management of nancial portfolios. Extreme value theory provides the solid fundamentals needed for the statistical modelling of such events and the computation of extreme risk measures. The focus of the paper is on the use of extreme value theory to compute tail risk measures and the related condence intervals, applying it to several major stock market indices.

Source
University of Geneva
Length of Resource
23
Resource File
Author
Manfred Gilli, Evis Kellezi
Date Published
Publication Type
paper
Resource Type
academic

ResourceID: 72536

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