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Volatility of BIST 100 Returns After 2020, Calendar Anomalies and COVID-19 Effect

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  • Ali CELÝK

Abstract

Market actors define the volatility in financial markets as a measure of risk. This study aims to investigate the volatility movements in the return series calculated on the closing values of the BIST 100 index between 01.Jan.2020-11.Feb.2021. In addition, the days of the week anomaly, the dates of public holiday, and COVID-19 pandemic effect were used as dummy variable in the econometric model. The findings showed that the EGARCH (3,3) model is to be the best performing model. Accordingly, Friday’s anomaly, Public Holidays, and the COVID-19 pandemic create negative shocks on the volatility movements of the return series, increase the volatility movements, and consequently, asymmetric and leverage effect emerged.

Suggested Citation

  • Ali CELÝK, 2021. "Volatility of BIST 100 Returns After 2020, Calendar Anomalies and COVID-19 Effect," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 15(1), pages 61-81.
    • Handle: RePEc:bdd:journl:v:15:y:2021:i:1:p:61-81
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    References listed on IDEAS

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    More about this item

    Keywords

    Volatility of BIST 100 returns; EGARCH; Calendar anomalies; COVID-19;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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