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

Author

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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.

Suggested Citation

  • Samir Saadi & Devinder Gandhi & Shantanu Dutta, 2006. "Testing For Nonlinearity & Modeling Volatility In Emerging Capital Markets: The Case Of Tunisia," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(07), pages 1021-1050.
    • Handle: RePEc:wsi:ijtafx:v:09:y:2006:i:07:n:s0219024906003950
    DOI: 10.1142/S0219024906003950
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    References listed on IDEAS

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    1. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
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    1. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    2. H. Kent Baker & Abdul Rahman & Samir Saadi, 2008. "The day‐of‐the‐week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 280-295, December.
    3. Kian-Ping Lim & Muzafar Shah Habibullah & Melvin J. Hinich, 2009. "The Weak-form Efficiency of Chinese Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 133-163, May.
    4. Lopes, Sílvia R.C. & Prass, Taiane S., 2014. "Theoretical results on fractionally integrated exponential generalized autoregressive conditional heteroskedastic processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 278-307.
    5. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
    6. 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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