阈红利策略下带干扰对偶风险模型的Gerber-Shiu罚金函数

研究了带干扰的阈红利策略对偶风险的罚金函数,给出了Gerber-Shiu罚金函数的相关结果,由振动引起的罚金函数及由索赔引起的罚金函数满足的微积分方程或更新方程及其解,相应的得出索赔额为指数分布时的破产概率.     

复合Poisson-Geometic风险下带投资和障碍分红的Gerber-shiu函数

文章考虑了复合Poisson-Geometic风险下带投资和障碍分红的Gerber-shiu函数问题,运用全期望公式得到了复合Poisson-Geometic风险下带投资和障碍分红的函数所满足的更新方程。并在指数分布的假设下,得到了带投资和障碍分红的保险公司的破产概率的显式表达,最后通过数值算例分析了风险模型的几个关键参数对破产概率的影响,验证了文章结果的合理性,同时也给保险公司的资金管理提出了指导意见。结果表明:充足的初始准备金、较低的赔付门槛、较高收益率的风险资产都是降低破产风险的重要策略。     

Threshold分红策略下带干扰的两类索赔风险模型的Geber-Shiu函数

本文研究了在threshold分红策略下带干扰的两类索赔风险模型的Geber-Shiu函数.这里假设两个索赔计数过程为独立的更新过程,其中一个为Poisson过程另一个为时间间隔服从广义Erlang(2)分布的更新过程.本文得到了threshold分红策略下Gerber-Shiu函数所满足的积分-微分方程及其边界条件....     

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与经典Cramer-Lundberg风险模型中保费收取过程 是时间的线性函数不同, 我们考虑聚合的保费收取过程是复合Poisson过程, 研究了在此模型下的常数分红策略问题. Dickson和Waters,(2004)指出在破产发生时, 股东还应有责任偿付破产时的赤字. 因此, 在本文中考虑的最优准则是最大化破产发生前的分红折现值与破产发生时赤字的差的期望. 做为例子, 当个体保费收取额和索赔额均为指数分布时, 给出了计算分红障碍的条件     

一类Sparre Andersen风险模型的Gerber-Shiu函数

本文考虑了一类相邻两次索赔的时间间隔服从Erlang($n$)和Erlang($m$)的混合分布的Sparre Andersen风险模型.主要目的是研究Gerber-Shiu函数$\phi_\delta(u)$,首先证明了$\phi_\delta(u)$满足一个高阶的积分微分方程,然后讨论了广义Lundberg方程根的性质,在此基础上导出了$\phi_\delta(u)$的拉普拉斯变换并且证明了$\phi_\delta(u)$满足一个更新方程,最后给出了一个例子.     

经典风险模型分红控制过程的最优停止问题

本文在带注资的经典风险模型的最优分红控制过程的基础上,进一步引入最优停止策略.目标是要找到最优的停止时刻,使得到该时刻为止,股东的折现分红与带有一定费用的折现注资二者之差的期望值最大化.通过建立值函数V(x)满足的HJB方程,我们找到了最优停止时刻τ~*.特别的,当索赔服从指数分布时,通过计算最终得到了值函数V(x)和最优停止时刻.τ~*的清晰表达式.     

Optimal Investment and Dividend Strategy in the Discrete Sparre Andersen Risk Model

In the discrete-time Sparre Andersen risk model with investments and dividend payments, the company controls the dividend payments and the proportions of venture investments in order to maximize the cumulative expected discounted dividends prior to ruin. The paper gets the algorithm of the optimal dividend strategy by analyzing a Hamilton-Jacobi-Bellman equation and transforming the value function. Furthermore, the existence of the optimal solution of the transformation function is proved by using compression mapping and fixed point principle. In order to make the calculation easier, this paper also proposes an innovative random simulation method for the optimal strategy, and proves that the simulation result is the consistent estimate of the real value. Finally, the random simulation method in the Matlab is used for numerical analysis in an example, which shows the innovative simulation method is a very good and helpful method for making dividend payment and investment decisions.     

一类带扰动风险模型的Gerber-Shiu函数(英文)

本文研究了一类带扰动风险模型, 得到了此过程下Gerber-Shiu函数的微分积分方程, 并得到了推广Erlang(2)情形下Gerber-Shiu函数满足的更新方程.     

信用风险模型中的Gerber-Shiu贴现罚函数

考虑信用风险模型的破产问题,研究Gerber-Shiu贴现罚函数,通过引进辅助模型,运用概率论的分析方法得到了其所满足的积分方程.相应地可以得到该模型下的破产概率、破产时刻前赢余和破产时刻赤字的联合分布及其边际分布,进一步完善了YangHailiang发表的相关问题的结果.     

稀疏风险模型的期望折扣罚金函数

本文考虑了一类风险模型,其中保费到达过程是一个参数为$\lambda>0$的Poisson过程,而理赔过程是保费到达过程的稀疏过程. 在该模型下,我们得到了期望折扣罚金函数所满足的积分方程,积分--微分方程以及递推公式, 并且当保费和理赔额均为指数分布时,我们使用积分--微分方程获得了破产时刻的Laplace变换和在破产时刻的赤字的闭式表达式.     

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This paper assumes that company's asset process follows a non-linear model, which reflects the relationship between the operation costs and the size business. Suppose that the company can control the asset process by changing the size of business, paying dividends and raising money dynamically. Meanwhile, it bears both fixed and proportional transaction costs during the control processes. Under the objective of maximizing the company's value, we obtain the explicit solutions of optimal strategies and value function by using the optimal control method. The results illustrate that the optimal strategies depend on the parameters of the model. The company should expand the business scale with the increasing of asset. Dividends should be paid out according to the impulse control strategy. Financing is profitable to avoid bankruptcy if and only if the transaction costs are relatively low.     

跳扩散对偶模型在带壁分红策略下的分红函数

考虑了带干扰的古典风险模型的对偶模型,讨论了模型在带壁分红策略下的一些结论．通过研究过程的局部时,证明了所讨论函数的边界条件．用在没有分红策略下模型的函数,给出了期望折现分红函数的显示表达．在最后一节,对于跳服从相位分布的情形,给出了数值例子,并讨论了最优分红边界的存在性．     

Classical Risk Model with Threshold Dividend Strategy

In this article, a threshold dividend strategy is used for classical risk model. Under this dividend strategy, certain probability of ruin, which occurs in case of constant barrier strategy, is avoided. Using the strong Markov property of the surplus process and the distribution of the deficit in classical risk model, the survival probability for this model is derived, which is more direct than that in Asmussen（2000, P195, Proposition 1.10）. The occupation time of non-dividend of this model is also discussed by means of Martingale method.     

复合二项对偶模型的最优分红问题

研究复合二项对偶模型的最优分红问题,通过分析HJB方程得到了最优分红策略和相应的最优值函数之间的关系以及最优值函数的简单计算方法.通过讨论最优红利策略的一些性质得到了最优值函数的可无限逼近的上界和下界.     

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For a financial or insurance entity, the problem of finding the optimal dividend distribution strategy and optimal firm value function is a widely discussed topic. In the present paper, it is assumed that the firm faces two types of liquidity risks: a Brownian risk and a Poisson risk. The firm can control the time and amount of dividends paid out to shareholders. By sufficiently taking into account the safety of the company, bankruptcy is said to take place at time $t$ if the cash reserve of the firm runs below the linear barrier b+kt (not zero), see 1. We deal with the problem of maximizing the expected total discounted dividends paid out until bankruptcy. The optimal dividend return (or, firm value) function is identified as the classical solution of the associated Hamilton-Jacobi-Bellman (HJB) equation where a second-order differential-integro equation is involved. By solving the corresponding HJB equation, the analytical solution of the optimal firm value function is obtained, the optimal dividend strategy is also characterized, which is of linear barrier type: at time t the firm keeps cash inside when the cash reserves level is less than a critical linear barrier and pays cash in excess of this linear barrier as dividends.     

Optimal Reinsurance and Dividend Strategies Under the Markov-Modulated Insurance Risk Model

In this article, we consider the optimal reinsurance and dividend strategy for an insurer. We model the surplus process of the insurer by the classical compound Poisson risk model modulated by an observable continuous-time Markov chain. The object of the insurer is to select the reinsurance and dividend strategy that maximizes the expected total discounted dividend payments until ruin. We give the definition of viscosity solution in the presence of regime switching. The optimal value function is characterized as the unique viscosity solution of the associated Hamilton–Jacobi–Bellman equation and a verification theorem is also obtained.     

一类离散时间带随机收入风险模型的带壁分红问题

我们给出了一类离散时间的具有随机收入的非寿险风险模型,研究了该模型的常数壁分红问题.得到了该模型破产发生时Gerber-Shiu折扣惩罚函数.考虑了破产时的期望,有限时间破产概率.最后我们给出了一个例.     

具有常量红利界的带干扰项的风险模型及最优红利界

对于保险公司来说,如何确定其红利策略,使得投保人利益最大化是一个需要研究的课题.研究了具有常量红利界的带干扰项的经典风险模型下,索赔量为混合指数分布情形时的最优红利界的计算方法.     

带阈限分红策略的一类更新风险模型

本文考虑了索赔时间间距为Erlang(n)分布带阈限分红策略的更新风险模型的平均折现罚函数,建立了该函数所满足的积分-微分方程及更新方程,最后讨论了更新方程的解.