• DocumentCode
    3210832
  • Title

    Dynamic mean-variance portfolio optimization with noshorting constraint and correlated returns

  • Author

    Chong Wei ; Jianjun Gao

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1068
  • Lastpage
    1073
  • Abstract
    Rich empirical evidence shows the dependent relationship of the returns of risky assets between different time periods. However, current literature on the dynamic portfolio optimization model mainly adopts the assumption of independence of the returns. Due to the regulation of the financial market, the restriction of the short-selling is another indispensable factor in the portfolio management model. In this work, we study the discrete time dynamic mean-variance portfolio optimization model with noshorting constraint and the correlated returns of the risky assets. We adopt a formulation with a general structure of correlation, which enables us to better matching our model with real markets. By using the stochastic dynamic programming, we solve the problem analytically and derive the explicit portfolio policy, which is a piecewise affine function of the current wealth.
  • Keywords
    asset management; discrete time systems; investment; stochastic programming; stock markets; correlated return; discrete time dynamic mean-variance portfolio optimization model; dynamic portfolio optimization model; financial market; noshorting constraint; piecewise affine function; portfolio management model; portfolio policy; real market; risky asset; short-selling; stochastic dynamic programming; Computational modeling; Correlation; Dynamic programming; Investment; Optimization; Portfolios; Stochastic processes; Constrained Dynamic Programming; Mean-Variance; Noshorting Constraint; Portfolio Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162075
  • Filename
    7162075