• DocumentCode
    1730085
  • Title

    Solving robust optimization models in finance

  • Author

    Mulvey, John M.

  • Author_Institution
    Princeton Univ., NJ, USA
  • fYear
    1996
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    Leading international financial firms are applying multi-stage stochastic programs for managing asset-liability risk over extended time periods. Prominent examples include: Towers Perrin, State Farm Insurance, Falcon Asset Management, Frank Russell and Unilever. The asset-liability management systems assist pension plan investors, banks, insurance companies and other leveraged institutions. Wealthy individuals can benefit by developing careful risk management strategies. The advantages of integrating assets and liabilities are discussed along with a brief comparison of alternative modeling frameworks. We describe the advantages of high-performance computers for solving these difficult nonlinear robust optimization problems
  • Keywords
    digital simulation; financial data processing; multiprocessing programs; optimisation; risk management; stochastic processes; asset-liability risk management strategies; banks; extended time periods; finance; high-performance computers; insurance companies; international financial firms; leveraged institutions; modeling frameworks; multi-stage stochastic programs; nonlinear robust optimization problems; pension plan investors; robust optimization models; wealthy individuals; Asset management; Finance; Financial management; Insurance; Investments; Pensions; Poles and towers; Risk management; Robustness; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering, 1996., Proceedings of the IEEE/IAFE 1996 Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    0-7803-3236-9
  • Type

    conf

  • DOI
    10.1109/CIFER.1996.501816
  • Filename
    501816