• DocumentCode
    1974626
  • Title

    A Robust Optimization Model of Social Security Fund Asset Allocation

  • Author

    Zhao Huiliang ; Wu Youhua

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on mean-semivariance theory, a robust optimization model is developed for China´s social security fund asset allocation, which the uncertainty of expected return and risk on security fund investment is described by several expected return vectors and covariance matrices. Then, we have done an empirical analysis by using the actual data from China. Empirical results show that: this method is effective and feasible.
  • Keywords
    covariance matrices; investment; national security; optimisation; vectors; China; covariance matrices; mean-semivariance theory; return vector; robust optimization model; security fund investment; social security fund asset allocation; Biological system modeling; Indexes; Investments; Optimization; Portfolios; Robustness; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566129
  • Filename
    5566129