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A new risk measure and its application in portfolio optimization: The SPP–CVaR approach

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  • Bin, Liu

Abstract

This paper studies the problem of portfolio optimization when investors implement the stop strategy. We derived a new CVaR equation, known as SPP–CVaR. The SPP–CVaR method is tested by optimizing a portfolio using data from Shanghai stock market. The SPP–CVaR method can solve the problem of uncertain exit time due to the use of the stop strategy. By comparing the test results, we found that the SPP–CVaR method is better than the traditional CVaR method when investors implement the stop strategy.

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  • Bin, Liu, 2015. "A new risk measure and its application in portfolio optimization: The SPP–CVaR approach," Economic Modelling, Elsevier, vol. 51(C), pages 383-390.
    • Handle: RePEc:eee:ecmode:v:51:y:2015:i:c:p:383-390
    DOI: 10.1016/j.econmod.2015.08.013
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    as
    1. repec:adr:anecst:y:2000:i:58:p:02 is not listed on IDEAS
    2. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: What gain for investors?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
    3. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.
    4. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    5. M. H. A. Davis & A. R. Norman, 1990. "Portfolio Selection with Transaction Costs," Mathematics of Operations Research, INFORMS, vol. 15(4), pages 676-713, November.
    6. Carol L. Osler, 2003. "Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis," Journal of Finance, American Finance Association, vol. 58(5), pages 1791-1819, October.
    7. Adrian E. Tschoegl, 1988. "The source and consequences of stop orders: A conjecture," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 83-85, March.
    8. Hiroshi Konno & Hiroshi Shirakawa, 1995. "Existence Of A Nonnegative Equilibrium Price Vector In The Mean‐Variance Capital Market," Mathematical Finance, Wiley Blackwell, vol. 5(3), pages 233-246, July.
    9. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    10. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    11. repec:bla:jfinan:v:58:y:2003:i:5:p:1791-1820 is not listed on IDEAS
    12. Magill, Michael J. P. & Constantinides, George M., 1976. "Portfolio selection with transactions costs," Journal of Economic Theory, Elsevier, vol. 13(2), pages 245-263, October.
    13. Narayan, Paresh Kumar & Narayan, Seema & Thuraisamy, Kannan Sivananthan, 2014. "Can institutions and macroeconomic factors predict stock returns in emerging markets?," Emerging Markets Review, Elsevier, vol. 19(C), pages 77-95.
    14. repec:bla:jfinan:v:59:y:2004:i:1:p:407-446 is not listed on IDEAS
    15. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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    Cited by:

    1. Yang, Chunpeng & Zhang, Zhanpei, 2021. "Realization utility with stop-loss strategy," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 261-275.

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