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Robust portfolio selection with regime switching and asymmetric dependence

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  • Su, Xiaoshan
  • Bai, Manying
  • Han, Yingwei

Abstract

This paper solves the portfolio selection problem with regime switching and asymmetric dependence in financial markets. Investors sustain substantial loss in times of crisis and expect to reduce their losses. Thus, we consider the uncertainty in hidden states of the economy and define worst-case conditional value-at-risk (WCVaR) to capture extreme portfolio loss during financial crisis. Then, we formulate the portfolio selection problem with WCVaR as the measure of risk. We conduct an empirical study using 13 global equity indices. The results show that for dynamic investments, or during financial crisis, our model outperforms other models that only consider a fixed dependence structure between assets. This is because our model can significantly reduce extreme portfolio loss in times of crisis by selecting the assets with small lower tail dependence. This new portfolio strategy can help risk-averse investors cope with financial crisis.

Suggested Citation

  • Su, Xiaoshan & Bai, Manying & Han, Yingwei, 2021. "Robust portfolio selection with regime switching and asymmetric dependence," Economic Modelling, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:ecmode:v:99:y:2021:i:c:s0264999321000754
    DOI: 10.1016/j.econmod.2021.03.011
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    3. Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).

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    More about this item

    Keywords

    Robust portfolio decisions; Regime switching; Asymmetric dependence; Worst-case CVaR; R-vine copulas; Financial crisis;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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