• DocumentCode
    2616769
  • Title

    Mean-CVaR Portfolio Optimization Problem under Concave Transaction Costs and Minimal Transaction Unit Constraints

  • Author

    Gao, Yuelin ; Sun, Ying ; Li, Yuhong

  • Author_Institution
    Inst. of Inf. & Syst. Sci., North Nat. Univ., YinChuan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    In the paper, considering the fact situation that the transaction number is an integer and associated with portfolio construction is a fee for purchasing assets in the stock market in China at present, we increase minimal transaction unit constraint. And with the concave transaction cost function more conforming to the actual situation, introducing the condition risk value (CVaR) to measure the portfolio risk, we propose a mean-CVaR concave integer programming model under concave transaction costs and minimal transaction unit constraints. In the same time, we give a genetic algorithm to solve this model, and the numerical experiment shows that the model is reasonable and the algorithm is efficient.
  • Keywords
    concave programming; costing; genetic algorithms; integer programming; purchasing; risk management; stock markets; asset purchasing; concave integer programming; concave transaction cost; condition risk value; genetic algorithm; mean-CVaR portfolio optimization; minimal transaction unit constraint; portfolio construction; portfolio risk; stock market; transaction number; Constraint optimization; Cost function; Genetic algorithms; Investments; Linear programming; Loss measurement; Portfolios; Reactive power; Stock markets; Sun; concave transaction costs; condition risk value (CVaR); minimal transaction unit; portfolio optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.27
  • Filename
    5169544