Trading volume in models of financial derivatives

This paper develops a subordinated stochastic process model for an asset price, where the directing process is identified as information. Motivated by recent empirical and theoretical work, the paper makes use of the under-used market statistic of transaction count as a suitable proxy for the information flow. An option pricing formula is derived, and comparisons with stochastic volatility models are drawn. Both the asset price and the number of trades are used in parameter estimation. The underlying process is found to be fast mean reverting, and this is exploited to perform an asymptotic expansion. The implied volatility skew is then used to calibrate the model.     

Representations of the Brownian snake with drift

We consider a path-valued process which is a generalization of the classical Brownian snake introduced by Le Gall. More precisely we add a drift term b to the lifetime process, which may depends on the spatial process. Consequently, this introduces a coupling between the lifetime process and the spatial motion. This process can be obtained from the standard Brownian snake by Girsanov's theorem or by killing of the spatial motion. It can also be viewed as the limit of discrete snakes or, in some special cases, as conditioned Brownian snakes. We also use this process to describe the solutions of the non-linear partial differential equation j u =4 u 2 +4 bu .     

Necessary conditions for optimality in relaxed stochastic control problems

In this paper, we are concerned with optimal control problems where the system is driven by a stochastic differential equation of the Ito type. We study the relaxed model for which an optimal solution exists. This is an extension of the initial control problem, where admissible controls are measure valued processes. Using Ekeland's variational principle and some stability properties of the corresponding state equation and adjoint processes, we establish necessary conditions for optimality satisfied by an optimal relaxed control. This is the first version of the stochastic maximum principle that covers relaxed controls.     

Discrete chaotic calculus and covariance identities

We show that for the binomial process (or Bernoulli random walk) the orthogonal functionals constructed in Kroeker, J.P. (1980) "Wiener analysis of functionals of a Markov chain: application to neural transformations of random signals", Biol. Cybernetics 36 , 243-248, [14] for Markov chains can be expressed using the Krawtchouk polynomials, and by iterated stochastic integrals. This allows to construct a chaotic calculus based on gradient and divergence operators and structure equations, and to establish a Clark representation formula. As an application we obtain simple infinite dimensional proofs of covariance identities on the discrete cube.     

随机利率下股价服从多个跳源的跳-扩散模型的连续履约价期权定价

假定标的资产服价格的跳过程服从一类特殊的更新跳过程,考虑多个跳源影响,在Vasicek扩展利率模型下,利用鞅方法给出连续履约价期权的定价公式.     

一类临界可交换随机环境中分枝过程的灭绝概率

本文将经典分枝过程临界情形的遍历基本引理推广到了随机环境情形,并在此基础上研究了一类临界可交换随机环境中分枝过程的灭绝概率的性质．     

连续支付红利的跳—扩散模型交换期权定价

在假设股票连续支付红利,且股票价格过程服从Poisson跳—扩散过程的条件下,建立了股票价格行为模型,应用保险精算法给出了欧式交换期权的定价公式,推广了Merton关于期权定价的结果.     

多因素影响下的三非齐次Poisson风险模型

本文研究了一类非齐次Poisson风险模型,考虑了干扰、随机收益和退保情况.模型中的投保过程、理赔过程以及退保过程均为非齐次Poisson过程.     

马氏决策向量过程模型的性质及其优越性定理

本文研究马尔可夫决策向量过程的性质,并证明其优越性定理.     

甘草多糖活性炭脱色工艺

研究了甘草多糖活性炭脱色的工艺.以脱色率为评价指标,在单因素筛选的基础上,采用正交试验法对脱色工艺进行优选.实验表明,脱色的最佳条件为温度40℃、时间40min、pH 5.0、活性炭添加量1.5％.该脱色工艺具有一定的推广价值.