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EVIM: A Software Package for Extreme Value Analysis in MATLAB

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Author Info
Ramazan Gençay (University of Windsor)
Faruk Selçuk (Bilkent University)
Abdurrahman Ulugülyagci (Bilkent University)

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Abstract

From the practitioners' point of view, one of the most interesting questions that tail studies can answer is what are the extreme movements that can be expected in financial markets? Have we already seen the largest ones or are we going to experience even larger movements? Are there theoretical processes that can model the type of fat tails that come out of our empirical analysis? Answers to such questions are essential for sound risk management of financial exposures. It turns out that we can answer these questions within the framework of the extreme value theory. This paper provides a step-by-step guideline for extreme value analysis in the MATLAB environment with several examples.

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File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1080&context=snde
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Publisher Info
Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 5 (2001)
Issue (Month): 3 ()
Pages: 1080-1080
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Handle: RePEc:bep:sndecm:5:2001:3:1080-1080

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Related research
Keywords: extreme value theory; risk management; software;

Cited by:
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  1. Sheri Markose & Amadeo Alentorn, 2005. "The Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing," Economics Discussion Papers 594, University of Essex, Department of Economics. [Downloadable!]
  2. Sheri Markose & Amadeo Alentorn, 2005. "Option Pricing and the Implied Tail Index with the Generalized Extreme Value (GEV) Distribution," Computing in Economics and Finance 2005 397, Society for Computational Economics. [Downloadable!]
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This page was last updated on 2009-6-25.


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