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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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    File URL: https://mpra.ub.uni-muenchen.de/38431/1/MPRA_paper_38431.pdf
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    References listed on IDEAS

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    2. Francesco Guidi & Rakesh Gupta & Suneel Maheshwari, 2011. "Weak-form Market Efficiency and Calendar Anomalies for Eastern Europe Equity Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 10(3), pages 337-389, December.
    3. Dimitar Tonchev & Tae-Hwan Kim, 2004. "Calendar effects in Eastern European financial markets: evidence from the Czech Republic, Slovakia and Slovenia," Applied Financial Economics, Taylor & Francis Journals, vol. 14(14), pages 1035-1043.
    4. Ke, Mei-Chu & Chiang, Yi-Chein & Liao, Tung Liang, 2007. "Day-of-the-week effect in the Taiwan foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2847-2865, September.
    5. Jan Hanousek & Evžen Kočenda, 2011. "Foreign News and Spillovers in Emerging European Stock Markets," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 170-188, February.
    6. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    7. Rosa Borges, 2009. "Calendar Effects in Stock Markets: Critique of Previous Methodologies and Recent Evidence in European Countries," Working Papers Department of Economics 2009/37, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
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    11. Yeliz Yalcin & Eray M. Yycel, 2006. "The Day-of-the-Week Effect on Stock-Market Volatility and Return: Evidence from Emerging Markets (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(5-6), pages 258-277, May.
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    Cited by:

    1. 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.
    2. Krzysztof DRACHAL, 2014. "Is There a Feedback Mechanism in Accounting?," European Financial and Accounting Journal, University of Economics, Prague, vol. 2014(1).

    More about this item

    Keywords

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

    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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