The distribution of the extreme daily share returns in the Athens stock exchange

Konstantinos Tolikas, Richard A. Brown

Research output: Contribution to journalArticle

Abstract

Extreme Value Theory (EVT) methods are used to investigate the asymptotic distribution of the lower tail for daily returns in the Athens Stock Exchange (ASE) over the period 1986 to 2001. Overall, the Generalised Logistic (GL) distribution is found to provide adequate descriptions of the stochastic behaviour of the ASE index extreme minima over the period studied. However, using moving windows techniques we show that the parameters of this distribution appear to vary with a tendency to become less fat tailed over time. This paper argues that market risk measurement models that are able to exploit this time varying behaviour could lead to more accurate risk estimates and therefore, have potentially important implications for risk assessment.
Original languageEnglish
Pages (from-to)1-22
JournalEuropean Journal of Finance
Volume12
Issue number1
DOIs
Publication statusPublished - 1 Jan 2006

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Athens Stock Exchange
Extreme value theory
Asymptotic distribution
Logistics/distribution
Time-varying
Risk assessment
Risk measurement
Market risk
Measurement model

Cite this

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The distribution of the extreme daily share returns in the Athens stock exchange. / Tolikas, Konstantinos; Brown, Richard A.

In: European Journal of Finance, Vol. 12, No. 1, 01.01.2006, p. 1-22.

Research output: Contribution to journalArticle

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