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Calendar anomalies in the Russian stock market

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  • Maria Caporale, Guglielmo
  • Zakirova, Valentina

Abstract

This research note investigates whether or not calendar anomalies (such as the January, day-of-the-week and turn-of-the-month effects) characterize the Russian stock market, which could be interpreted as evidence against market efficiency. Specifically, OLS, GARCH, EGARCH and TGARCH models are estimated using daily data for the MICEX market index over the period Sept. 1997–Apr. 2016. The empirical results show the importance of taking into account transactions costs (proxied by the bid-ask spreads): once these are incorporated into the analysis, calendar anomalies disappear, and therefore, there is no evidence of exploitable profit opportunities based on them that would be inconsistent with market efficiency.

Suggested Citation

  • Maria Caporale, Guglielmo & Zakirova, Valentina, 2017. "Calendar anomalies in the Russian stock market," Russian Journal of Economics, Elsevier, vol. 3(1), pages 101-108.
    • Handle: RePEc:eee:rujoec:v:3:y:2017:i:1:p:101-108
    DOI: 10.1016/j.ruje.2017.02.007
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    References listed on IDEAS

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    1. Guglielmo Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2016. "Intraday Anomalies and Market Efficiency: A Trading Robot Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 275-295, February.
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    5. Thaler, Richard H, 1987. "The January Effect," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 197-201, Summer.
    6. A. Gregoriou & A. Kontonikas & N. Tsitsianis, 2004. "Does the day of the week effect exist once transaction costs have been accounted for? Evidence from the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 215-220.
    7. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 1043-1065.
    8. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 1043-1065, September.
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    Cited by:

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    2. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    3. Samuel Mongrut & Cinzia Delfino, 2019. "Weekend effect and financial characteristics: is there any relation in Latin America?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 509-525, Agosto 20.
    4. Khushboo Aggarwal & Mithilesh Kumar Jha, 2023. "Stock returns seasonality in emerging asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 109-130, March.
    5. Júlio Lobão & Ana C. Costa, 2023. "The Adaptive Dynamics of the Halloween Effect: Evidence from a 120-Year Sample from a Small European Market," IJFS, MDPI, vol. 11(1), pages 1-11, January.

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    More about this item

    Keywords

    calendar effects; Russian stock market; transaction costs;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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