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The Random Walk Hypothesis and Correlation in the Visegrad Countries Emerging Stock Markets

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  • Chaido Dritsaki

    () (Technological Institute of Western Macedonia)

Abstract

This paper examines the random walk hypothesis in the Visegrad Countries stock market as emerging stock markets. The results both from autocorrelation analysis and unit root tests imply that monthly stock price indices of the Visegrad Countries follow the random walk process. This means that the stock markets of all the Visegrad Countries are efficient in the weak form. By employing cointegration and causality tests, we investigate the long-run and short-run relationships among these markets of the Visegrad countries and interpret the findings in the context of capital market integration.

Suggested Citation

  • Chaido Dritsaki, 2011. "The Random Walk Hypothesis and Correlation in the Visegrad Countries Emerging Stock Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 14(40), pages 25-56, June.
  • Handle: RePEc:rej:journl:v:14:y:2011:i:40:p:25-56
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    References listed on IDEAS

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    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 631-653.
    3. Aristeidis G. Samitas & Dimitris F. Kenourgios, 2007. "Macroeconomic factors' influence on 'new' European countries' stock returns: the case of four transition economies," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 2(1/2), pages 34-49.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. Horobet, Alexandra & Lupu, Radu, 2009. "Are Capital Markets Integrated? A Test of Information Transmission within the European Union," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(2), pages 64-80, June.
    6. Gupta, R. & Donleavy, G.D., 2009. "Benefits of diversifying investments into emerging markets with time-varying correlations: An Australian perspective," Journal of Multinational Financial Management, Elsevier, vol. 19(2), pages 160-177, April.
    7. Cooray, Arusha. & Wickremasinghe, Guneratne., 2007. "The efficiency of emerging stock markets: empirical evidence from the south asian region," Journal of Developing Areas, Tennessee State University, College of Business, vol. 41(1), pages 171-183, September.
    8. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    9. Scheicher, Martin, 2001. "The Comovements of Stock Markets in Hungary, Poland and the Czech Republic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 27-39, January.
    10. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    11. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    12. Chelley-Steeley, Patricia L., 2005. "Modeling equity market integration using smooth transition analysis: A study of Eastern European stock markets," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 818-831, September.
    13. Harrison, Barry & Moore, Winston, 2009. "Stock Market Como Vement In The European Union And Transition Countries," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 13(3), pages 124-151.
    14. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    15. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    16. B Harrison & W Moore, 2010. "Stock Market Co-Movement in the Caribbean," Economic Issues Journal Articles, Economic Issues, vol. 15(1), pages 1-15, March.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Egert, Balazs & Kocenda, Evzen, 2007. "Interdependence between Eastern and Western European stock markets: Evidence from intraday data," Economic Systems, Elsevier, vol. 31(2), pages 184-203, June.
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    Citations

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    Cited by:

    1. Victor Dragotă & Elena Ţilică, 2014. "Market efficiency of the Post Communist East European stock markets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 307-337, June.
    2. Halime Temel Nalın & Sevinç Güler, 2015. "Testing The Random Walk Hypothesis: An Application in the BRIC Countries and Turkey," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(55), pages 129-148, March.

    More about this item

    Keywords

    Random Walk Hypothesis; Weak Form Efficiency; Stock Market; Visegrad Countries; Unit root; Cointegration; Causality;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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