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A simple approximation for semivariance


  • Choobineh, F.
  • Branting, D.


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Suggested Citation

  • Choobineh, F. & Branting, D., 1986. "A simple approximation for semivariance," European Journal of Operational Research, Elsevier, vol. 27(3), pages 364-370, December.
  • Handle: RePEc:eee:ejores:v:27:y:1986:i:3:p:364-370

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    Cited by:

    1. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    2. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value-at-Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long-Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1-2), pages 1-19.
    3. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    4. Grootveld, Henk & Hallerbach, Winfried, 1999. "Variance vs downside risk: Is there really that much difference?," European Journal of Operational Research, Elsevier, vol. 114(2), pages 304-319, April.
    5. repec:eee:riibaf:v:42:y:2017:i:c:p:1298-1314 is not listed on IDEAS
    6. repec:ipg:wpaper:2014-053 is not listed on IDEAS
    7. Degiannakis, Stavros, 2017. "The one-trading-day-ahead forecast errors of intra-day realized volatility," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1298-1314.
    8. Li, Xiang & Qin, Zhongfeng, 2014. "Interval portfolio selection models within the framework of uncertainty theory," Economic Modelling, Elsevier, vol. 41(C), pages 338-344.

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