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Portfolio selection with a systematic skewness constraint

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  • Jiang, Chonghui
  • Ma, Yongkai
  • An, Yunbi
Abstract
This paper investigates portfolio selection within a mean-variance-systematic skewness framework. We derive the composition of efficient portfolios in our model, and analyze the properties of these efficient portfolios. We show that the required systematic skewness is achieved at the expense of traditional mean-variance efficiency, and that a more stringent systematic skewness constraint induces a greater loss in mean-variance efficiency. Our numerical analysis demonstrates that the presence of the systematic skewness constraint helps improve the skewness of efficient portfolios in our model over the skewness of traditional efficient portfolios.

Suggested Citation

  • Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2016. "Portfolio selection with a systematic skewness constraint," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 393-405.
    • Handle: RePEc:eee:ecofin:v:37:y:2016:i:c:p:393-405
    DOI: 10.1016/j.najef.2016.03.008
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    References listed on IDEAS

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    3. Jiang, Xue & Han, Liyan & Yin, Libo, 2019. "Can skewness predict currency excess returns?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 628-641.
    4. Lu, Xin & Liu, Qiong & Xue, Fengxin, 2019. "Unique closed-form solutions of portfolio selection subject to mean-skewness-normalization constraints," Operations Research Perspectives, Elsevier, vol. 6(C).

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