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Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM

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  • Nathaniel Gbenro

    (Department of Economics, (Thema) University Cergy-Pontoise, 95011 Cergy-Pontoise, France
    Ecole Nationale Supérieure de Statistique et d’Economie Appliquée, Abidjan 08, Côte d’Ivoire)

  • Richard Kouamé Moussa

    (Ecole Nationale Supérieure de Statistique et d’Economie Appliquée, Abidjan 08, Côte d’Ivoire)

Abstract

This paper analyzes the mean reversion property on the west African stock market (in French, Bourse Régionale des Valeurs Mobilières BRVM). For this purpose, we use two daily indices: (i) the composite index (BRVMC) and (ii) the index of the 10 most liquid assets (BRVM10) collected from 3 January 2005 to 29 June 2018. We estimate an asymmetric nonlinear autoregressive model with an EGARCH innovation to account for heteroskedasticity. The results suggest the existence of a mean reversion property for both indices. The half-life time is 7 days for the composite index and 2 days for the BRVM 10 index. Furthermore, using a rolling regression technique, we show that the estimated half-life time declines slightly for the composite index.

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  • Nathaniel Gbenro & Richard Kouamé Moussa, 2019. "Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM," JRFM, MDPI, vol. 12(1), pages 1-19, March.
  • Handle: RePEc:gam:jjrfmx:v:12:y:2019:i:1:p:38-:d:211599
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    1. Kiseok Nam & Sei-Wan Kim & Augustine. Arize, 2006. "Mean Reversion of Short-Horizon Stock Returns: Asymmetry Property," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 137-163, March.
    2. Emmanuel Anoruo & Luis Gil-Alana, 2011. "Mean reversion and long memory in African stock market prices," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(3), pages 296-308, July.
    3. Spierdijk, Laura & Bikker, Jacob A. & van den Hoek, Pieter, 2012. "Mean reversion in international stock markets: An empirical analysis of the 20th century," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 228-249.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. David E. Rapach & Mark E. Wohar, 2006. "Structural Breaks and Predictive Regression Models of Aggregate U.S. Stock Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(2), pages 238-274.
    6. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    7. Nam, Kiseok & Pyun, Chong Soo & Avard, Stephen L., 2001. "Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 807-824, April.
    8. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    11. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    12. Paresh Narayan & Arti Prasad, 2007. "Mean Reversion in Stock Prices: New Evidence from Panel Unit Root Tests for Seventeen European Countries," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-6.
    13. Saint Kuttu, 2018. "Asymmetric mean reversion and volatility in African real exchange rates," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 575-590, July.
    14. Corbet, Shaen & Katsiampa, Paraskevi, 2020. "Asymmetric mean reversion of Bitcoin price returns," International Review of Financial Analysis, Elsevier, vol. 71(C).
    15. Paresh Kumar Narayan & Seema Narayan, 2007. "Mean reversion in stock prices: new evidence from panel unit root tests," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 24(3), pages 233-244, August.
    16. Mlambo, Chipo & Biekpe, Nicholas, 2007. "The efficient market hypothesis: Evidence from ten African stock markets," MPRA Paper 25968, University Library of Munich, Germany, revised 2007.
    17. repec:ebl:ecbull:v:3:y:2007:i:34:p:1-6 is not listed on IDEAS
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    2. Massimiliano Caporin & Giuseppe Storti, 2020. "Financial Time Series: Methods and Models," JRFM, MDPI, vol. 13(5), pages 1-3, April.

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