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Modelling Extreme values of the PX Index returns

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913168" target="_blank" >RIV/00216275:25410/18:39913168 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling Extreme values of the PX Index returns

  • Original language description

    In this contribution we focused on the daily log returns of investment in the Prague stock exchange index, PX-Index. We analysed data from January 1st, 1995 to June 30th, 2018. We can see that the data has fatter left and right-hand tails than the normal distribution. Conclusions of our basic analysis are that the daily log returns are leptokurtic and heavy tailed. They are not i.i.d. and volatility varies over time. Further we investigated extreme values of daily log returns. The focus is on how Extreme Value Theory fares in contrast to the assumption of normally distributed losses. Also we can say that extreme daily log returns appear in clusters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 9-th International scientific Conference - Managing and Modelling of Financial risks 2018

  • ISBN

    978-80-248-4225-7

  • ISSN

    2464-6970

  • e-ISSN

    2464-6989

  • Number of pages

    9

  • Pages from-to

    129-137

  • Publisher name

    Vysoká škola báňská-Technická univerzita Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Sep 5, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article