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Evolving and relative efficiency of MENA stock markets: evidence from rolling joint variance ratio tests


  • Amira Akl Ahmed

    () (Lecturer in Economics, Benha University, Egypt. PhD in Economics, University of Leicester, England.)


Multiple variance ratio tests, in rolling window procedure, were applied to weekly data (expressed in local and US dollar currencies) for five stock markets in the Middle East and North Africa during 1995-2009. Results indicated that the big and liquid stock markets of Israel and Turkey are ranked as the most efficient. The Egyptian and Moroccan stock markets converged towards efficiency by 2002, due to remarkable improvements in liquidity and information dissemination, whereas the Jordanian stock markets restored its efficiency at the end of the study period. Exchange rates did not matter in determining the dynamics of share returns for equity markets examined.

Suggested Citation

  • Amira Akl Ahmed, 2014. "Evolving and relative efficiency of MENA stock markets: evidence from rolling joint variance ratio tests," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 91-126, May.
  • Handle: RePEc:ere:journl:v:xxxiii:y:2014:i:1:p:91-126

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    1. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    2. Amélie Charles & Olivier Darné, 2009. "Variance-Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    3. Martin Petri & Tahsin Saadi-Sedik, 2006. "The Jordanian Stock Market—Should You Invest in It for Risk Diversification or Performance?," IMF Working Papers 06/187, International Monetary Fund.
    4. 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.
    5. Naidu, G. N. & Rozeff, Michael S., 1994. "Volume, volatility, liquidity and efficiency of the Singapore Stock Exchange before and after automation," Pacific-Basin Finance Journal, Elsevier, vol. 2(1), pages 23-42, March.
    6. Benjamin Auer & Martin Schuster, 2011. "Does the financial crisis influence the random walk behaviour of international stock markets?," Applied Economics Letters, Taylor & Francis Journals, vol. 18(4), pages 319-323.
    7. Graham Smith & Keith Jefferis & Hyun-Jung Ryoo, 2002. "African stock markets: multiple variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 475-484.
    8. Kawakatsu, Hiroyuki & Morey, Matthew R, 1999. "An Empirical Examination of Financial Liberalization and the Efficiency of Emerging Market Stock Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 385-411, Winter.
    9. Rebecca Emerson & Stephen Hall & Anna Zalewska-Mitura, 1997. "Evolving Market Efficiency with an Application to Some Bulgarian Shares," Economic Change and Restructuring, Springer, vol. 30(2), pages 75-90, May.
    10. Keith Jefferis & Graham Smith, 2004. "Capitalisation And Weak-Form Efficiency In The Jse Securities Exchange," South African Journal of Economics, Economic Society of South Africa, vol. 72(4), pages 684-707, September.
    11. Karemera, David & Ojah, Kalu & Cole, John A, 1999. "Random Walks and Market Efficiency Tests: Evidence from Emerging Equity Markets," Review of Quantitative Finance and Accounting, Springer, vol. 13(2), pages 171-188, September.
    12. 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.
    13. Graham Smith, 2007. "Random walks in Middle Eastern stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 587-596.
    14. Hyun-Jung Ryoo & Graham Smith, 2002. "Korean stock prices under price limits: variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(8), pages 545-553.
    15. Lagoarde-Segot, Thomas & Lucey, Brian M., 2008. "Efficiency in emerging markets--Evidence from the MENA region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 94-105, February.
    16. Buguk, Cumhur & Wade Brorsen, B., 2003. "Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 579-590.
    17. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    18. Roland Füss, 2005. "Financial Liberalization and Stock Price Behaviour in Asian Emerging Markets," Economic Change and Restructuring, Springer, vol. 38(1), pages 37-62, March.
    19. 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.
    20. Ghysels, Eric & Cherkaoui, Mouna, 2003. "Emerging markets and trading costs: lessons from Casablanca," Journal of Empirical Finance, Elsevier, vol. 10(1-2), pages 169-198, February.
    21. 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.
    22. Graham Smith, 2008. "Liquidity And The Informational Efficiency Of African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 76(2), pages 161-175, June.
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    More about this item


    Random Walk Hypothesis; Stock Market Efficiency; Variance Ratio Tests; Wild Bootstrap; Middle East and North Africa;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets


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