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Day of the week effect in central European stock markets

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  • Stavarek, Daniel
  • Heryan, Tomas

Abstract

The aim of the paper is to estimate the day of the week effect in the stock markets in the Czech Republic, Hungary and Poland over the period 2006 – 2012. The entire period of estimation is divided to six sub-periods capturing individual phases of the financial and economic crisis. We separately estimate a modified GARCH-M (1,1) model for each country and each sub-period using daily returns of the major national stock market indices. The day of the week effect is measured for both daily returns and conditional variance (volatility) of the returns. The results clearly indicate that there is a little evidence of day of the week effect. Daily calendar anomalies are rather sporadic, isolated, unstable over time and often opposite to theoretical assumptions. There is no phase of financial crisis characteristic of significantly increased incidence of day of the week effects. We conclude that the day of the week effect is not typical for the Central European stock markets and the recent financial crisis seems to have no impact on existence of this phenomenon in the markets.

Suggested Citation

  • Stavarek, Daniel & Heryan, Tomas, 2012. "Day of the week effect in central European stock markets," MPRA Paper 38431, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:38431
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Leonard Grebe & Dirk Schiereck, 2024. "Day-of-the-week effect: a meta-analysis," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1057-1094, December.
    2. Wang, Xinya & Liu, Huifang & Huang, Shupei, 2019. "Identification of the daily seasonality in gold returns and volatilities: Evidence from Shanghai and London," Resources Policy, Elsevier, vol. 61(C), pages 522-531.
    3. Josip ARNERIĆ & Blanka ŠKRABIĆ PERIĆ, 2018. "Panel GARCH Model with Cross-Sectional Dependence between CEE Emerging Markets in Trading Day Effects Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 71-84, December.
    4. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.

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    More about this item

    Keywords

    day-of-the-week effect; calendar anomalies; stock market; GARCH-M model; financial crisis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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