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
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