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Random matrix theory and portfolio optimization in Moroccan stock exchange

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  • El Alaoui, Marwane

Abstract

In this work, we use random matrix theory to analyze eigenvalues and see if there is a presence of pertinent information by using Marčenko–Pastur distribution. Thus, we study cross-correlation among stocks of Casablanca Stock Exchange. Moreover, we clean correlation matrix from noisy elements to see if the gap between predicted risk and realized risk would be reduced. We also analyze eigenvectors components distributions and their degree of deviations by computing the inverse participation ratio. This analysis is a way to understand the correlation structure among stocks of Casablanca Stock Exchange portfolio.

Suggested Citation

  • El Alaoui, Marwane, 2015. "Random matrix theory and portfolio optimization in Moroccan stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 92-99.
    • Handle: RePEc:eee:phsmap:v:433:y:2015:i:c:p:92-99
    DOI: 10.1016/j.physa.2015.03.081
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    References listed on IDEAS

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    3. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2018. "Collective behavior of cryptocurrency price changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 499-509.

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