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Mutual fund performance in Tunisia: A multivariate GARCH approach

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  • Hammami, Yacine
  • Jilani, Faouzi
  • Oueslati, Abdelmonem

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.

Suggested Citation

  • Hammami, Yacine & Jilani, Faouzi & Oueslati, Abdelmonem, 2013. "Mutual fund performance in Tunisia: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 29(C), pages 35-51.
    • Handle: RePEc:eee:riibaf:v:29:y:2013:i:c:p:35-51
    DOI: 10.1016/j.ribaf.2013.02.001
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    Cited by:

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    3. Oueslati, Abdelmonem & Hammami, Yacine & Jilani, Faouzi, 2014. "The timing ability and global performance of Tunisian mutual fund managers: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 57-73.
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    5. Ying-Sing LIU & Liza LEE, 2022. "Are Modifications in the ETF's Investment Performance and Risks during the COVID-19 Pandemic Event?," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 23(1), pages 05-17, June.
    6. Leonardo Badea & Daniel Ştefan Armeanu & Iulian Panait & Ştefan Cristian Gherghina, 2019. "A Markov Regime Switching Approach towards Assessing Resilience of Romanian Collective Investment Undertakings," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    7. Mamatzakis, Emmanuel & Xu, Bingrun, 2016. "Managerial attributes and equity mutual fund performance: evidence from china," MPRA Paper 76139, University Library of Munich, Germany.
    8. Kamaruzdin, Thaqif & Masih, Mansur, 2014. "An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches," MPRA Paper 60248, University Library of Munich, Germany.
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    More about this item

    Keywords

    Mutual fund performance; Multivariate GARCH; Market efficiency; Conditional multifactor models; Emerging markets;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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