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Risk-Return Convergence in CEE Stock Markets: Structural Breaks and Market Volatility

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  • Eduard Baumöhl

    () (Faculty of Business Economics in Košice, University of Economics in Bratislava)

  • Štefan Lyócsa

    () (Faculty of Business Economics in Košice, University of Economics in Bratislava)

Abstract

We analyze the risk-return characteristics of nine European emerging stock market indices over the period from January 2000 to December 2013. We show that (i) the return distances declined and structural breaks in this characteristic are sparse; (ii) distances between standard deviations are more time-varying than return distances and several structural breaks have been identified through this risk metric; (iii) the mixed characteristic, i.e. risk-return distances declined over time and were subject to an occurrence of several breaks. The relationship between risk-return characteristics and market volatility is also examined. While the results clearly showed that this relationship is generally positive, the return, risk and risk-return distances increased during the more volatile periods. At the same time, for several CEE markets, this effect is mitigated during bearish market conditions. Overall, our results suggest that even in times of higher volatility, benefits for investors from international diversification to CEE emerging markets may still exist.

Suggested Citation

  • Eduard Baumöhl & Štefan Lyócsa, 2014. "Risk-Return Convergence in CEE Stock Markets: Structural Breaks and Market Volatility," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(5), pages 352-373, November.
    • Handle: RePEc:fau:fauart:v:64:y:2014:i:5:p:352-373
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    Cited by:

    1. Niţoi, Mihai & Pochea, Maria Miruna, 2016. "Testing financial markets convergence in Central and Eastern Europe: A non-linear single factor model," Economic Systems, Elsevier, vol. 40(2), pages 323-334.

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    More about this item

    Keywords

    risk-return characteristics; convergence; stock market integration; market volatility;
    All these keywords.

    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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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