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Mutual fund performance in Tunisia: A multivariate GARCH approach

Yacine Hammami (), Faouzi Jilani and Abdelmonem Oueslati

Research in International Business and Finance, 2013, vol. 29, issue C, 35-51

Abstract: This article investigates mutual fund performance in the Tunisian capital market using conditional multifactor models. In the mutual fund literature, the traditional approach to capture conditionality is the use of predetermined instruments. This study proposes a multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach to compute conditional measures. Overall, we find evidence of persistence in mutual fund performance only when we implement the multivariate GARCH method. This result is due to the fact that the Jensen alphas are estimated more precisely in the multivariate GARCH model than in the other approaches. These results indicate that the Tunisian capital market presents strong investment opportunities for sophisticated investors such as mutual funds.

Keywords: Mutual fund performance; Multivariate GARCH; Market efficiency; Conditional multifactor models; Emerging markets (search for similar items in EconPapers)
JEL-codes: C32 G11 G23 G12 (search for similar items in EconPapers)
Date: 2013
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Handle: RePEc:eee:riibaf:v:29:y:2013:i:c:p:35-51