保费再投资下带干扰的COX风险模型的破产概率

基于经典的风险模型,考虑了对于保费进行稳健投资的情况,同时加入了用布朗运动来描述的干扰因素,引入了保费再投资下带干扰的Cox风险模型.利用鞅方法得到了该模型破产概率的Lundberg不等式.     

常利率因素下的双险种风险模型

本文引入了一类常利率因素下的双险种风险模型,就不带干扰和带干扰两个方面进行讨论,给出了破产概率Ψ（u）的显式表达式和Lundberg上界。     

带干扰的双复合Poisson风险模型

对古典风险模型进行推广,主要研究保费收入过程为带干扰双复合Poisson过程的风险模型,运用鞅的方法得出了破产概率满足的Lundburg不等式.     

带干扰的一类相依风险模型

本文将古典风险模型推广为带干扰的一类相依风险模型。在此风险模型中,保单到达过程为一Pois-son过程,而索赔到达过程为保单到达过程的P-稀疏过程。利用鞅的方法得到了破产概率和Lundberg不等式。     

带干扰的复合负二项过程下的双险种负风险模型

本文研究了带干扰的索赔过程为复合负二项过程的双险种负风险和模型.用两种不同的方法得到了该模型的最终破产概率,还得到了Lundberg不等式,推广了经典负风险模型.     

一类推广负风险和模型的破产概率

本文研究了带干扰的两险种负风险和模型的破产问题.利用无穷小方法,给出了该风险模型破产概率所满足的微分-积分方程,并推导出破产概率满足的Lundberg型不等式.最后指出了当索赔服从负指数分布时破产概率的上界,推广了经典风险模型的结果.     

带干扰的多险种Cox风险模型的破产概率

考虑到保险公司在实际经营中收益所具有的不确定性和风险经营的多元化,建立了一个更现实的风险模型即带干扰的多险种Cox风险模型.运用鞅论得到了该模型最终破产概率的上界,并对Lundberg不等式作了推广.     

带干扰的索赔次数为复合Poisson-Geometric过程的负风险和模型

引进带干扰的索赔次数为复合Poisson-Geometric过程的负风险和模型,给出该模型的破产概率所满足的积分-微分方程及解析式.     

一类带干扰的多险种风险模型

本文考虑一类带干扰的两独立险种的风险模型,其中两索赔次数过程分别为Poisson过程和Elang(2)过程.主要得出该模型的生存概率所满足的积分-微分方程和破产概率的渐近性.     

带干扰的双二项风险模型的破产概率

首先将[3]的双二项风险模型推广到带干扰项的一种新模型,然后讨论了盈余过程的性质,并利用盈余过程的性质给出了有关破产概率的两个结论。     

带干扰的索赔次数为复合Poisson—Geometric过程的风险模型下的罚金函数

研究了带干扰的索赔次数为复合Poisson—Geometric过程的风险模型,针对此模型,给出了罚金函数满足的积分微分方程,利用DicksonandHipp（2001）中引入的变换方法,得到了罚金函数的拉普拉斯变换的精确表达式．     

带干扰的索赔次数为复合Poisson-Geometric过程的风险模型下的罚金函数

研究了带干扰的索赔次数为复合Poisson-Geometric过程的风险模型,针对此模型,给出了罚金函数满足的积分微分方程,利用Dickson and Hipp(2001)中引入的变换方法,得到了罚金函数的拉普拉斯变换的精确表达式.     

On Entire Moments of Self-Similar Markov Processes

We consider a risk-based asset allocation problem in a Markov, regime-switching, pure jump model. With a convex risk measure of the terminal wealth of an investor as a proxy for risk, we formulate the risk-based asset allocation problem as a zero-sum, two-person, stochastic differential game between the investor and the market. The HJB dynamic programming approach is used to discuss the game problem. A semi-analytical solution of the game problem is obtained in a particular case.     

马氏环境下带扰动的Cox相关的风险模型破产概率的上界估计

本文讨论马氏环境下带随机扰动的保单数量过程与索赔次数过程Cox相关的风险模型.利用鞅方 法,给出了该风险模型的破产概率的指数上界.     

An optimization approach to adaptive multi-dimensional capital management

Firms should keep capital to offer sufficient protection against the risks they are facing. In the insurance context methods have been developed to determine the minimum capital level required, but less so in the context of firms with multiple business lines including allocation. The individual capital reserve of each line can be represented by means of classical models, such as the conventional Cramér–Lundberg model, but the challenge lies in soundly modelling the correlations between the business lines. We propose a simple yet versatile approach that allows for dependence by introducing a common environmental factor. We present a novel Bayesian approach to calibrate the latent environmental state distribution based on observations concerning the claim processes. The calibration approach is adjusted for an environmental factor that changes over time. The convergence of the calibration procedure towards the true environmental state is deduced. We then point out how to determine the optimal initial capital of the different business lines under specific constraints on the ruin probability of subsets of business lines. Upon combining the above findings, we have developed an easy-to-implement approach to capital risk management in a multi-dimensional insurance risk model.     

BSDE approach to utility maximization with square-root factor processes

We consider the utility-based portfolio selection problem in a continuous-time setting. We assume the market price of risk depends on a stochastic factor that satisfies an affine-form, square-root, Markovian model. This financial market framework includes the classical geometric Brownian motion, CEV model, and Heston’s model as special cases. Adopting the BSDE approach, we obtain closed-form solutions for the optimal portfolio strategies and value functions for the logarithmic, power, and exponential utility functions.     

稀疏过程在保险公司破产问题中的应用

本文讨论适用于一类人寿保险和财产保险的风险过程 ,其中保单到达服从Poisson过程 ,而描述索赔发生的计数过程为保单到达过程的 p -稀疏过程。对此模型给出了破产概率的上界并对该上界进行了随机模拟 ,同时把所得结果与经典情形进行比较     

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.