• DocumentCode
    924295
  • Title

    Risk control over bankruptcy in dynamic portfolio selection: a generalized mean-variance formulation

  • Author

    Zhu, Shu-Shang ; Li, Duan ; Shou-yang Wang

  • Author_Institution
    Dept. of Manage. Sci., Fudan Univ., Shanghai, China
  • Volume
    49
  • Issue
    3
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    447
  • Lastpage
    457
  • Abstract
    For an investor to claim his wealth resulted from his multiperiod portfolio policy, he has to sustain a possibility of bankruptcy before reaching the end of an investment horizon. Risk control over bankruptcy is thus an indispensable ingredient of optimal dynamic portfolio selection. We propose in this note a generalized mean-variance model via which an optimal investment policy can be generated to help investors not only achieve an optimal return in the sense of a mean-variance tradeoff, but also have a good risk control over bankruptcy. One key difficulty in solving the proposed generalized mean-variance model is the nonseparability in the associated stochastic control problem in the sense of dynamic programming. A solution scheme using embedding is developed in this note to overcome this difficulty and to obtain an analytical optimal portfolio policy.
  • Keywords
    dynamic programming; investment; optimisation; risk management; stochastic processes; bankruptcy; dynamic programming; embedding; generalized mean-variance model; mean-variance tradeoff; multiperiod portfolio policy; nonseparability; optimal dynamic portfolio selection; optimal investment policy; risk control; stochastic control problem; wealth claim; Context-aware services; Current measurement; Dynamic programming; Investments; Optimal control; Portfolios; Security; Stochastic processes; Time measurement; Utility theory;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2004.824474
  • Filename
    1273644