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Multivariate dependence and portfolio optimization algorithms under illiquid market scenarios

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  • Al Janabi, Mazin A.M.
  • Arreola Hernandez, Jose
  • Berger, Theo
  • Nguyen, Duc Khuong

Abstract

We propose a model for optimizing structured portfolios with liquidity-adjusted Value-at-Risk (LVaR) constraints, whereby linear correlations between assets are replaced by the multivariate nonlinear dependence structure based on Dynamic Conditional Correlation t-copula modeling. Our portfolio optimization algorithm minimizes the LVaR function under adverse market circumstances and multiple operational and financial constraints. When we consider a diversified portfolio of international stock and commodity market indices under multiple realistic portfolio optimization scenarios, the obtained results consistently show the superiority of our approach relative to other competing portfolio strategies including the minimum-variance, risk-parity and equally weighted portfolio allocations.

Suggested Citation

  • Al Janabi, Mazin A.M. & Arreola Hernandez, Jose & Berger, Theo & Nguyen, Duc Khuong, 2016. "Multivariate dependence and portfolio optimization algorithms under illiquid market scenarios," MPRA Paper 84626, University Library of Munich, Germany, revised Nov 2016.
  • Handle: RePEc:pra:mprapa:84626
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    8. Qi Deng & Zhong-guo Zhou, 2024. "Liquidity Jump, Liquidity Diffusion, and Portfolio of Assets with Extreme Liquidity," Papers 2407.00813, arXiv.org.
    9. Bernard, C. & De Gennaro Aquino, L. & Vanduffel, S., 2023. "Optimal multivariate financial decision making," European Journal of Operational Research, Elsevier, vol. 307(1), pages 468-483.
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    11. Kim, Jong-Min & Kim, Dong H. & Jung, Hojin, 2020. "Modeling non-normal corporate bond yield spreads by copula," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
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    13. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Shahbaz, Muhammad & Kayani, Ghulam Mujtaba, 2018. "A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 104-127.
    14. Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.
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    More about this item

    Keywords

    Dynamic copulas; LVaR; dependence structure; portfolio optimization algorithm;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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