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Hurst's exponent behaviour, weak-form stock market efficiency and financial liberalization: the Tunisian case

Author

Listed:
  • Chaker Aloui

    (IFGT)

  • Ben hamida Hela

    (FDSEPS)

Abstract
In this paper, we test the weak-form stock market efficiency for the Tunisian stock market (TSE). Our empirical approach is founded on the analysis of the behaviour over time of the Hurst's exponent. Thus, we computed the Hurst's exponent using a “rolling sample” with a time window of 4 years. The sample data covers in daily frequency the period (January, 1997- October 2007). Since the classical R/S analysis is strongly affected by short-range dependencies both in the mean and the conditional variance of TSE daily volatility, daily stock returns were filtered using the traditional AR-GARCH(1,1) model. Our results for Hurst's and filtered Hurst's exponents behaviour analysis show a strong evidence of long-range dependence with persistent behaviour of the TSE. However, during the last two years, the filtered Hurst's exponent seems to exhibit a switching regime behaviour with alternating persistent and antipersistent behaviour but where it was somewhat close to 0.5.The nonparametric statistic approach results reveal that some TSE reforms including the launching of the Electronic quotation system on April, 1998, the fiscal regime for holdings, the security reinforcement laws, the legal protection of minority shareholder may play a role in understanding the Hurst's exponent behaviour over time

Suggested Citation

  • Chaker Aloui & Ben hamida Hela, 2011. "Hurst's exponent behaviour, weak-form stock market efficiency and financial liberalization: the Tunisian case," Economics Bulletin, AccessEcon, vol. 31(1), pages 830-843.
    • Handle: RePEc:ebl:ecbull:eb-10-00194
    as

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    References listed on IDEAS

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    1. repec:ebl:ecbull:v:7:y:2007:i:1:p:1-11 is not listed on IDEAS
    2. Sergio Da Silva & Annibal Figueiredo & Iram Gleria & Raul Matsushita, 2007. "Hurst exponents, power laws, and efficiency in the Brazilian foreign exchange market," Economics Bulletin, AccessEcon, vol. 7(1), pages 1-11.
    3. Cheung, Yin-Wong & Lai, Kon S., 1995. "A search for long memory in international stock market returns," Journal of International Money and Finance, Elsevier, vol. 14(4), pages 597-615, August.
    4. 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.
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    Cited by:

    1. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behaviour in Mediterranean stock markets: a wavelet-based approach," Applied Economics, Taylor & Francis Journals, vol. 46(22), pages 2611-2622, August.
    2. Cesario Mateus & Bao Trung Hoang, 2021. "Frontier Markets, Liberalization and Informational Efficiency: Evidence from Vietnam," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 499-526, December.

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    More about this item

    Keywords

    financial reforms; long-range dependence; weak-form efficiency; Hurst's exponent; rolling sample approach.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G1 - Financial Economics - - General Financial Markets

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