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Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

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  • Trichilli, Yousra
  • Abbes, Mouna Boujelbène
  • Masmoudi, Afif

Abstract

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.

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  • Trichilli, Yousra & Abbes, Mouna Boujelbène & Masmoudi, Afif, 2020. "Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis," Research in International Business and Finance, Elsevier, vol. 51(C).
    • Handle: RePEc:eee:riibaf:v:51:y:2020:i:c:s0275531918310547
    DOI: 10.1016/j.ribaf.2019.101071
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