一类常利率下的复合Poisson-Geometric过程风险模型

将文献[6]中常利率情况下的风险模型,推广为索赔来到过程为Poisson-Geometric过程的风险模型.给出了该模型初始资产为u时生存概率所满足的积分方程,并更正了文献[6]中的错误。     

一类马氏调制费率的双险种风险模型的破产概率

给出一类具有费率均为马氏调制的双险种风险模型,对于给定的初始状态,求出了条件破产概率满足的积分方程,并推导出具有平稳初始分布的破产概率的递归不等式和零初始资产时的破产概率的简洁估计式.     

具有两种副索赔的离散相依风险模型破产问题

考虑了一类离散相依的风险模型,该模型假设主索赔以一定的概率引起两种副索赔,而第一种副索赔有可能延迟发生.通过引入一个辅助模型,分别得出了该风险模型初始盈余为0时破产前盈余与破产时赤字的联合分布的表达式、初始盈余为"时破产前盈余和破产时赤字的联合分布的递推公式、初始盈余为0时的破产概率,以及初始盈余为"时的破产概率求解方...     

多险种复合Poisson风险模型和破产概率

经典风险模型只描述了单一险种的经营模式,具有局限性,本文对多险种的复合Poisson风险模型的破产概率进行了研究。本文给出了初始资本为0时破产概率皿（O）的明确表达式,以及理赔量服从指数分布且初始资本为u时破产概率ψ（u）的明确表达式。     

一类多险种风险过程的破产概率

由于保险公司风险经营规模的不断扩大,考虑到用单一险种的风险模型来描述风险经营过程的局限性,本文建立了多险种风险模型,并对其中一类特殊的风险模型的破概率进行了研究,给出了初始资本为0时破产概率Ψ（0）的明确表达式,以及初始资本为μ的破产概率Ψ（μ）的近似估计和在某些特殊情形下Ψ（μ）的明确表达式。     

复合二项风险模型的破产概率

本文讨论了一般情形的复合二项风险模型，得出了初始资本为０时的破产概率以及初始资本为ｕ≥０的情况下的破产概率的一般公式．     

完全离散的经典风险模型

本文系统地探讨了完全离散的经典风险模型，特别是重点研究了与风险有关的最终破产概率，破产前一刻的盈余和破产时赤字的概率律．Gerber仅在初始盈余为零的情况下给出了上述概率律的显式解，本文则对任意的初始盈余u≥0，给出了上述概率或概率律的递推解、变换解与显式解．     

重尾索赔下更新风险模型生存概率局部估计解

本文在研究普通更新风险模型下当索赔分布F∈S*时生存概率的局部解问题的基础上,将模型推广到延迟更新模型,得到了生存概率局部解渐进估计．     

复合二项风险模型的破产概率

本首次讨论了一般情形的复合二项风险模型,考虑了它的一些有关性质,得出了初始资本的0时的破产概率,它只与安全负荷系数有关,最后得出了初始资本为u≥0的情况下的破产概率的一般公式。     

一类索赔时间间隔服从混合指数分布的更新风险过程

本文研究了一类特殊的更新风险过程,其索赔时间间隔服从混合指数分布.首先,建立保险公司在时刻t的资产盈余模型,然后在该模型的基础上,根据Gerber的积分微分方程法和Laplace变换计算该公司的生存概率和赤字分布,最后分析盈余过程能顺利达到某一水平而不发生破产的概率.     

Inversed martingales in risk theory

The theory of inversed martingales is used in order to prove a generalization of a result of H. Cramér on the probability of non-ruin for a classical surplus process if the initial reserve is positive.     

保费收取过程是随机过程的双险种风险模型

研究保费收取过程是一个随机过程的双险种风险模型,得出了Lundberg上界、最终破产概率、不破产所满足的微积分方程、索赔服从指数分布的不破产概率、有限时间不破产所满足的微积分方程.     

Appell pseudopolynomials and Erlang-type risk models

Appell polynomials are known to play a key role in certain first-crossing problems. The present paper considers a rather general insurance risk model where the claim interarrival times are independent and exponentially distributed with different parameters, the successive claim amounts may be dependent and the premium income is an arbitrary deterministic function. It is shown that the non-ruin (or survival) probability over a finite horizon may be expressed in terms of a remarkable family of functions, named pseudopolynomials, that generalize the classical Appell polynomials. The presence of that underlying algebraic structure is exploited to provide a closed formula, almost explicit, for the non-ruin probability.     

On the Markov-dependent risk model with tax

In this paper we consider the Markov-dependent risk model with tax payments in which the claim occurrence, the claim amount as well as the tax rate are controlled by an irreducible discrete-time Markov chainSystems of integro-differential equations satisfied by the expected discounted tax payments and the non-ruin probability in terms of the ruin probabilities under the Markov-dependent risk model without tax are establishedThe analytical solutions of the systems of integro-differential equations are also obtained by the iteration method.     

金融租赁公司流动性风险研究

为研究金融租赁公司流动性风险,本文首次建立租赁公司现金流过程的多期动态模型,利用该模型定量分析了初始备付金、到期借款续借率和回收租金三个变量对公司流动性风险的影响。随后用违约概率来度量流动性风险,将问题转化成求解状态空间不断增大的非齐次马尔可夫链首中时的概率分布,并设计出违约算法(DA)和蒙特卡洛方法(MC)两种求解首中时分布的算法。算例表明提高初始备付金额度、到期借款续借率以及租金额度能有效地降低流动性风险。最后将银行的存贷利率和不同的租金定价方法融入基本模型,并通过三种不同的租金定价方式进一步分析了承租人信用风险对金融租赁公司流动性风险的影响。     

On a simple quasi-Monte Carlo approach for classical ultimate ruin probabilities

This note discusses a simple quasi-Monte Carlo method to evaluate numerically the ultimate ruin probability in the classical compound Poisson risk model. The key point is the Pollaczek–Khintchine representation of the non-ruin probability as a series of convolutions. Our suggestion is to truncate the series at some appropriate level and to evaluate the remaining convolution integrals by quasi-Monte Carlo techniques. For illustration, this approximation procedure is applied when claim sizes have an exponential or generalized Pareto distribution.     

Ruin probability in the dual risk model with two revenue streams

The dual risk model describes the surplus of a company with fixed expense rate and occasional random income inflows, called gains. Consider the dual risk model with two streams of gains. Type I gains arrive according to a Poisson process, and type II gains arrive according to a general renewal process. We show that the survival probability of the company can be expressed in terms of the survival probability in a dual risk process with renewal arrivals with initial reserve 0, and the survival probability in the dual risk process with Poisson arrivals in finite time.     

Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin

We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions. We also prove the weak convergence of a sequence of empirical finite-time ruin probabilities starting from zero initial reserve toward a Gaussian random variable. We define the concepts of reliable finite-time ruin probability as a Value-at-Risk of the estimator of the finite-time ruin probability. To control this robust risk measure, an additional initial reserve is needed and called Estimation Risk Solvency Margin (ERSM). We apply our results to show how portfolio experience could be rewarded by cut-offs in solvency capital requirements. An application to catastrophe contamination and numerical examples are also developed.