• DocumentCode
    2482760
  • Title

    Ruin Probability Minimization and Dividend Distribution Optimization in Diffusion Models

  • Author

    Taksar, Michael

  • Author_Institution
    Dept. of Math., Missouri Univ., Columbia, MO
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    2878
  • Lastpage
    2882
  • Abstract
    We consider a model of an insurance companies with different modes of risk and financial control. Different types of reinsurance correspond to the risk reduction techniques of the insurance, while financial control corresponds to a more familiar portfolio rebalancing. There are different objective which the company may pursue. One is the classical minimization of the ruin probabilities. Another one is the dividend pay-out maximization. The later merges with the classical finance issue of utility optimization by a small investor, pioneered by Merton. Diffusion approximation enables one to get a closed form solution to many problems and see the structure of the optimal policy. Mathematically, the problem becomes a mixed singular/regular control of a diffusion process, whose analytical portion corresponds to a solution of nonlinear ordinary or partial differential equations
  • Keywords
    differential equations; insurance; minimisation; statistical distributions; diffusion approximation; diffusion process model; dividend distribution optimization; dividend pay-out maximization; financial control; insurance company model; nonlinear ordinary differential equation; optimal policy; partial differential equation; portfolio rebalancing; risk control; risk reduction; ruin probability minimization; utility optimization; Bonding; Closed-form solution; Diffusion processes; Discrete wavelet transforms; Insurance; Investments; Mathematical model; Optimal control; Stochastic processes; USA Councils; Black-Scholes Model; HJB equation; Investment; Proportional Reinsurance; Ruin Probability; Stochastic Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.376935
  • Filename
    4177973