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
Link To Document :
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