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Long Memory in the Ukrainian Stock Market

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  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana

Abstract

This paper examines the dynamics of stock prices in Ukraine by estimating the degree of persistence of the PFTS stock market index. Using long memory techniques we show that the log prices series is I(d) with d slightly above 1, implying that returns are characterised by a small degree of long memory and thus are predictable using historical data. Moreover, their volatility, measured as the absolute and squared returns, also displays long memory. Finally, we examine if the time dependence is affected by the day of the week; the results indicate that Mondays and Fridays are characterised by higher dependency, consistently with the literature on anomalies in stock market prices.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana, 2013. "Long Memory in the Ukrainian Stock Market," Discussion Papers of DIW Berlin 1279, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1279
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.417292.de/dp1279.pdf
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    References listed on IDEAS

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    Cited by:

    1. Manuel Hoffmann & Matthias Neuenkirch, 2017. "The pro-Russian conflict and its impact on stock returns in Russia and the Ukraine," International Economics and Economic Policy, Springer, vol. 14(1), pages 61-73, January.
    2. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Persistence in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 46(C), pages 141-148.
    3. Pece Andreea Maria & Mihut Ioana Sorina & Oros Olivera Ecaterina, 2014. "The Impact Of The Financial Crisis On Long Memory: Evidence From European Banking Indices," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 781-788, July.
    4. Kostyantyn MALYSHENKO & Vadim MALYSHENKO & Elena Yu. PONOMAREVA & Marina ANASHKINA, 2019. "Analysis of the stock market anomalies in the context of changing the information paradigm," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 239-270, June.

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    More about this item

    Keywords

    Stock market prices; Efficient market hypothesis; Long memory; Fractional integration;
    All these keywords.

    JEL classification:

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

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