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Testing For Nonlinearity & Modeling Volatility In Emerging Capital Markets: The Case Of Tunisia

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  • SAMIR SAADI

    ()
    (School of Management, University of Ottawa, 136 Jean Jacques Lussier St. Ottawa, Ontario, K1N 6N5, Canada)

  • DEVINDER GANDHI

    (School of Management, University of Ottawa, 136 Jean Jacques Lussier St. Ottawa, Ontario, K1N 6N5, Canada)

  • SHANTANU DUTTA

    ()
    (Schwartz School of Business and Information Systems, St. Francis Xavier University, Canada)

Abstract

Capital market efficiency of emerging markets has been investigated widely in recent years. But to-date the empirical results remain inconclusive because most empirical studies use empirical tests, which are designed to detect linear structure in financial time series. However, recent developments in econometrics of financial markets show evidence of nonlinear relationships in asset returns in developed markets. Given the features of emerging capital markets, nonlinearity is most likely to be even more present in these developing markets compared to developed ones. In the present paper we reject the weak-form efficient market hypothesis of the Tunisian Stock Market (TSE). Using the BDS test, we find evidence of nonlinearity in variance, and develop a FIEGARCH (1, 1) model accordingly.

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Bibliographic Info

Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Journal of Theoretical and Applied Finance.

Volume (Year): 09 (2006)
Issue (Month): 07 ()
Pages: 1021-1050

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Handle: RePEc:wsi:ijtafx:v:09:y:2006:i:07:p:1021-1050

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Related research

Keywords: Random walk; BDS test; nonlinear dynamics; conditional volatility;

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Cited by:
  1. Rahman, Abdul & Saadi, Samir, 2008. "Random walk and breaking trend in financial series: An econometric critique of unit root tests," Review of Financial Economics, Elsevier, vol. 17(3), pages 204-212, August.
  2. Mensah, Justice T. & Pomaa-Berko, Maame & Adom, Philip Kofi, 2012. "Does Automation Improve Stock Market Efficiency? Evidence from Ghana," MPRA Paper 43642, University Library of Munich, Germany.
  3. Abdul Rahman & Samir Saadi, 2007. "Is South Korea's stock market efficient? A note," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 71-74.
  4. Baker, H. Kent & Rahman, Abdul & Saadi, Samir, 2008. "The day-of-the-week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, Elsevier, vol. 17(4), pages 280-295, December.
  5. Lim, Kian-Ping & Brooks, Robert D. & Hinich, Melvin J., 2008. "Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 527-544, December.

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