The distribution of the extreme daily share returns in the Athens Stock Exchange

Konstantinos Tolikas, Richard Brown

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    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
    Number of pages22
    JournalEuropean Journal of Finance
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - 2006

    Keywords

    • Extreme value theory
    • L-moments
    • Probability weighted moments
    • Anderson-Darling goodness of fit test
    • Generalised extreme value distribution
    • Generalised logistic distribution

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