STOCHASTIC DIFFERENTIAL-EQUATIONS FOR RUIN PROBABILITIES

被引:17
作者
MOLLER, CM
机构
[1] UNIV LONDON IMPERIAL COLL SCI TECHNOL & MED,DEPT ELECT ENGN,LONDON SW7 2BT,ENGLAND
[2] UNIV COPENHAGEN,ACTUARIAL MATH LAB,DK-2100 COPENHAGEN O,DENMARK
关键词
POINT PROCESS; MARTINGALE REPRESENTATION; MARKOV PROCESS; MARKOVIAN ENVIRONMENT;
D O I
10.1017/S002190020010258X
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The present paper proposes a general approach for finding differential equations to evaluate probabilities of ruin in finite and infinite time. Attention is given to real-valued non-diffusion processes where a Markov structure is obtainable. Ruin is allowed to occur upon a jump or between the jumps. The key point is to define a process of conditional ruin probabilities and identify this process stopped at the time of ruin as a martingale. Using the theory of marked point processes together with the change-of-variable formula or the martingale representation theorem for point processes, we obtain differential equations for evaluating the probability of ruin. Numerical illustrations are given by solving a partial differential equation numerically to obtain the probability of ruin over a finite time horizon.
引用
收藏
页码:74 / 89
页数:16
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