交互测度值过程

具有交互作用的测度值分枝过程是当今测度值马氏过程的研究热点之一。本文系统介绍了这一领域的最新进展,针对一些关键的思想、方法及国内在测度值过程研究的情况做了简单评述,并且列举了若干未解决的问题。     

随机测度的Lebesgue分解定理及其它

本文澄清了文[1]注记中提出的问题。证明了不论强度测度是否局部有限,随机测度的Lebesgue分解定理总是成立。同时建立了随机测度全体与某一类增过程之间的一一对应关系,以此作为桥梁可以通过增过程来讨论随机测度与随机点过程的性质。     

最优增长投资组合与等价鞅测度之间的关系

本文研究了当基本价格过程为一类连续半鞅过程时log最优的自融资投资组合的财富过程与等价鞅测度之间的对应关系。结果显示在连续过程框架下，最小鞅测度就是相对熵最小的等价鞅测度。     

跳过程μ正则性和不变测度存在性

本文给出了一般状态跳过程μ正则的充分条件,作为其推论得到跳跃链常返的跳过程是μ正则的,证明了跳跃链常返的跳过程,其q对的不变测度是跳过程的不变测度.还证明了跳跃链常返的跳过程存在唯一的不变测度.     

分数扩散测度的分部积分公式及鞅表示定理

本文研究由分数扩散过程决定的测度(分数扩散测度)的随机分析理论.首先,利用Bismut方法给出拉回公式,得到了分数扩散测度的分部积分公式.进一步,利用此公式,将Wiener测度下的经典的鞅表示定理推广到分数扩散测度下的鞅表示定理.     

R上对称Cauchy过程像集的确切Hausdorff测度

本文通过R上对称Cauchy过程轨道的占时测度与其游离次数的渐近等价关系,建立了过程占时测度的上极限型重对数律.进一步,利用密度定理及经济的轨道覆盖方法得到R上对称Cauchy过程像集的确切Hausdorff测度.     

跳过程的μ-不变测度-含单瞬时态情形北大核心

μ-不变测度是随机过程中一类重要的测度.首先,本文得到了含有单瞬时态的q-过程存在性定理,并进一步说明了在一些特殊情况下可以只对q-对加条件,定理仍成立.然后,对给了含单瞬时态q-对的μ-不变测度,何时存在q-过程P(t),使得π是P(t)的μ-不变测度的问题进行了讨论研究,并给出了一个充分条件.     

跳过程的μ-不变测度-含单瞬时态情形

μ-不变测度是随机过程中一类重要的测度.首先,本文得到了含有单瞬时态的q-过程存在性定理,并进-步说明了在一些特殊情况下可以只对q-对加条件,定理仍成立.然后,对给了含单瞬时态q-对的μ-不变测度,何时存在q-过程P(t),使得π是P(t)的μ-不变测度的问题进行了讨论研究,并给出了一个充分条件.     

谱负Lévy过程位势测度的推广

位势测度在占位时的求解过程中是一个重要的工具,对谱负Lévy过程的位势测度进行了推广.在目前已有位势测度结论的基础上运用维纳-霍夫分解方法,求出了谱负Lévy过程X在0ab时,形式为Ex∫τ+bτ+ae-qt1{Xt∈dy,tτ}dt的位势测度.其表达式用谱负Lévy过程的尺度函数和拉普拉斯的逆函数表示.这些表达式可以应用到一些Lévy风险过程相关的破产时间问题的研究中.     

时间变换过程的 Revuz 测度

文证明 Markov过程的能量泛函与 Revuz 测度在时间变换下保持不变, 并通过直接计算的方法导出时间变换过程的 L\’evy 系统和跳跃测度.     

The critical measure diffusion process

Summary A multiplicative stochastic measure diffusion process is the continuous analogue of an infinite particle branching diffusion process. In this paper the limiting behavior of the critical measure diffusion process is investigated. Conditions are found under which a non-trivial steady state random measure exists and in this case a spatial central limit theorem is established.Supported in part by the National Research Council of Canada.     

随机赔偿,随机折现下的保险概率模型及若干结果

本文首先构造了保险的随机过程模型，即随机赔偿和随机折现的双随机模型．运用测度扩张理论将赔偿过程发展为随机赔偿恻度，在模型的基本假定之下研究赔偿过程的性质，给出保险和年金的测度表示以及诸多精算公式．最后针对随机利率的Gauss过程模型得到Hoem模型随机赔偿测度的现值矩发展了［7］中的主要结果．     

MARTINGALE REPRESENTATION AND LOGARITHMIC-SOBOLEV INEQUALITY FOR THE FRACTIONAL ORNSTEIN-UHLENBECK MEASURE

In this paper,we consider the measure determined by a fractional Ornstein-Uhlenbeck process.For such a measure,we establish an explicit form of the martingale r...     

Ergodicity of one-dimensional regime-switching diffusion processes

In this work, for a one-dimensional regime-switching diffusion process, we show that when it is positive recurrent, then there exists a stationary distribution, and when it is null recurrent, then there exists an invariant measure. We also provide the explicit representation of the stationary distribution and invariant measure based on the hitting times of the process.     

Optimal martingale measures for defaultable assets

We model a defaultable asset as solution to a stochastic differential equation driven by both a Brownian motion and the counting process martingale associated to the one-jump process. We discuss in this framework the minimal entropy martingale measure as well as the linear Esscher and the minimal martingale measure. In particular we deal with some rather delicate verification issues.     

Option Pricing and Hedging under a Markov Switching Lévy Process Model

In this paper,we consider a Markov switching Lévy process model in which the underlying risky assets are driven by the stochastic exponential of Markov switching Lévy process and then apply the model to option pricing and hedging.In this model,the market interest rate,the volatility of the underlying risky assets and the N-state compensator,depend on unobservable states of the economy which are modeled by a continuous-time Hidden Markov process.We use the MEMM(minimal entropy martingale measure) as the equivalent martingale measure.The option price using this model is obtained by the Fourier transform method.We obtain a closed-form solution for the hedge ratio by applying the local risk minimizing hedging.     

Large deviations for empirical measures of Markov chains

In this paper we obtain large-deviation upper and lower bounds for the empirical measure of a Markov chain with general state space, as well as for the associated multivariate empirical measure and empirical process. In each of these instances we improve in various ways the results in the literature.     

Exponential martingale for compound Poisson process with latent variable and its applications

In this article, we construct an exponential martingale for the compound Poisson process with latent variableWith the help of this exponential martingale, we provide an asymptotic behavior of the coherent entropic risk measure for the compound Poisson process and a deviation inequality for the ruin probability of the partly shifted risk process.     

A new existence result for quadratic BSDEs with jumps with application to the utility maximization problem

In this study, we consider the exponential utility maximization problem in the context of a jump–diffusion model. To solve this problem, we rely on the dynamic programming principle to express the value process of this problem in terms of the solution of a quadratic BSDE with jumps. Since the quadratic BSDE¹ under study is driven by both a Wiener process and a Poisson random measure having a Lévy measure with infinite mass, our main task is therefore to establish a new existence result for the specific BSDE introduced.