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S. Mittnik and M. Paolella, “Prediction of Fnancial down- side-Risk with Heavy-Tailed Conditional Distributions,” In: S. T. Rachev, Ed., Handbook of Heavy Tailed Distributions in Finance, Elsevier, New York, 2003, pp. 385- 404. doi:10.1016/B978-044450896-6.50011-X

has been cited by the following article:

• TITLE: The Optimal Portfolio Model Based on Mean-CVaR

  AUTHORS: Xing Yu, Hongguo Sun, Guohua Chen

  KEYWORDS: The Optimal Portfolio, VAR, CVAR, Multi-Objectives Programming, Fuzzy Mathematics Method

  JOURNAL NAME: Journal of Mathematical Finance, Vol.1 No.3, November 8, 2011

  ABSTRACT: This paper proposed the optimal portfolio model maximizing returns and minimizing the risk expressed as CvaR under the assumption that the portfolio yield subject to heavy tail. We use fuzzy mathematics method to solve the multi-objectives model, and compare the model results to the case under the normal distribution yield assumption based on the portfolio VAR through empirical research. It is showed that our return is approximate to M-V model but risk is higher than M-V model. So it is illustrated that CVaR predicts the potential risk of the portfolio, which will help investors to cautious investment.