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Global Crisis and Relative Efficiency: Empirical Evidence from Central and Eastern European Stock Markets

  • Alexandru Todea
  • Dorina Lazar

This study investigates the effects of the Global crisis on the relative efficiency of ten Central and Eastern European emerging stock markets, using the Generalized Spectral test of Escanciano and Velasco (2006) in a rolling window approach. This test is robust to the distributional assumptions, to the presence of time-varying volatility, being able to detect a wide range of linear and non-linear dependencies in conditional mean. The results suggest that the degree of markets inefficiency varies through time, providing empirical support for the Adaptive Market Hypothesis rather than for a clear trend towards higher efficiency as postulated by the classical Efficient Market Hypothesis. Surprisingly, during the crisis period there has been registered an improvement of the degree of efficiency in the case of seven markets out of ten.

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Article provided by Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante in its journal The Review of Finance and Banking.

Volume (Year): 04 (2012)
Issue (Month): 1 (June)
Pages: 045-053

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Handle: RePEc:rfb:journl:v:04:y:2012:i:1:p:045-053
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  1. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
  2. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for predictability in equity returns for European transition markets," Economic Systems, Elsevier, vol. 30(1), pages 56-78, March.
  3. Dragota, Victor & Mitrica, Eugen, 2004. "Emergent capital markets' efficiency: The case of Romania," European Journal of Operational Research, Elsevier, vol. 155(2), pages 353-360, June.
  4. Graham Smith, 2009. "Martingales in European emerging stock markets: Size, liquidity and market quality," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 249-262.
  5. Amélie Charles & Olivier Darné & Jae H Kim, 2010. "Small Sample Properties of Alternative Tests for Martingale Difference Hypothesis," Working Papers 2010.07, School of Economics, La Trobe University.
  6. Graham Smith & Hyun-Jung Ryoo, 2003. "Variance ratio tests of the random walk hypothesis for European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 9(3), pages 290-300.
  7. Alexandru Todea & Adrian Zoicas-Ienciu, 2008. "Episodic dependencies in Central and Eastern Europe stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1123-1126.
  8. Escanciano, J. Carlos & Velasco, Carlos, 2006. "Generalized spectral tests for the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 134(1), pages 151-185, September.
  9. Lim, Kian-Ping & Brooks, Robert D., 2010. "Why Do Emerging Stock Markets Experience More Persistent Price Deviations From A Random Walk Over Time? A Country-Level Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 14(S1), pages 3-41, May.
  10. Rockinger, Michael & Urga, Giovanni, 2000. "The Evolution of Stock Markets in Transition Economies," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 456-472, September.
  11. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
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