TESTING FOR NONLINEARITY & MODELING VOLATILITY IN EMERGING CAPITAL MARKETS: THE CASE OF TUNISIA

Samir Saadi (), Devinder Gandhi and Shantanu Dutta ()
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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

International Journal of Theoretical and Applied Finance (IJTAF), 2006, vol. 09, issue 07, 1021-1050

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.

Keywords: Random walk; BDS test; nonlinear dynamics; conditional volatility (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (7)

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DOI: 10.1142/S0219024906003950

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