跳扩散模型下的复合期权定价

首先建立股票价格的跳过程为Poisson过程,跳跃高度服从对数正态分布时股票价格过程的随机微分方程,利用测度变换的Girsanov定理,找到等价鞅测度,利用鞅方法,用较简单的数学推导得到了股票价格服从跳扩散过程的欧式期权以及复合期权的定价公式.     

跳-扩散模型下的再装期权定价

本文建立股票价格的跳过程为Poisson过程,跳跃高度服从对数正态分布时股票价格过程的随机微分方程,在风险中性的假设下找到等价鞅测度,利用鞅方法,用较简单的数学推导得到了股票价格服从跳-扩散过程的欧式再装期权定价公式.     

跳跃扩散过程的期权定价模型

假定股票价格的跳过程为计数过程,建立了股票价格服从跳扩散过程的行为模型.运用随机分析中的鞅方法,推导出了股票价格的跳过程为计数过程的欧式期权定价公式,推广了已有的结果.     

分数跳-扩散运动下欧式复杂任选期权定价

本文假定股票价格过程服从分数跳一扩散运动,且期望收益率和波动率均为常数,在市场无套利的情形下,利用拟鞅定价的方法,得到了欧式复杂任选期权的解析定价公式．     

跳扩散和随机利率模型下的欧式双向期权定价

假定股票价格的跳跃过程为一类特殊的更新跳过程,即事件发生时间间隔为相互独立且同服从Gamma分布的随机变量序列.利用鞅定价方法,用较简单的数学推导得到了在随机利率情形下跳扩散模型的欧式双向期权定价公式.     

跳-扩散幂型支付的期权定价公式

假设股票价格服从跳扩散过程,并且参数为时间函数的条件下,利用等价鞅测度变换方法得到了幂型支付的欧式期权的定价公式.并且将其推广到有N个独立跳跃源的定价模型中.     

跳扩散模型中随机利率下的两种奇异期权定价

假定基础资产股票价格的跳过程为比Poisson过程更一般的跳过程-一类特殊的更新过程,在风险中性的假设下,利用鞅方法推导出了在随机利率下的两种奇异期权定价公式.     

基于跳扩散模型欧式期权定价的条件二叉树方法

对股票价格的跳扩散模型进行了分析,在CRR二叉树期权定价模型的基础上考虑标的股票价格发生跳跃的情况,得出基于跳扩散过程的股票期权的条件二叉树定价模型,并且证明在极限情况下,该条件二叉树模型的期权定价公式趋于Merton的解析定价公式,数值试验证实该条件二叉树模型的有效性。     

跳扩散模型下一种创新的重置期权定价

首先在风险中性测度下建立股票价格的跳过程为Poisson过程,跳跃高度服从对数正态分布时股票价格的随机微分方程,利用期权定价的鞅方法推导得到了欧式重置看涨期权的价格以及一种创新的重置看涨期权的定价公式．最后给出了一个数值计算的例子,说明了创新的重置看涨期权价格要大于或等于传统的重置看涨期权和欧式看涨期权价格,并从理论上进行解释．     

跳跃-扩散模型中期权定价的倒向随机微分方程方法及等价概率鞅测度

本文研究的是跳跃一扩散模型中的期权定价问题.通过研究该模型中未定权益所对应的倒向随机微分方程,找到市场中的-个等价概率鞅测度,借助测度变换,未定权益的定价问题就可转化为在等价概率鞅测度下的求期望问题.利用该方法,本文解得了标的股票价格过程为带非时齐:Poisson跳跃的扩散过程且股价期望增长率,波动率,无风险利率均为时间函数时欧式期权价格公式.并且,借助倒向随机微分方程找到在以上参数均为常数时,期权价格所满足的偏微分方程.     

State estimation for partially observed jump processes

In this paper partially observed jump processes are considered and optimal filtering equations are given for the conditional expectation of a functional on the past of the process.Rudemo [6] derived filtering equations for a partially observed jump Markov process. Snyder [3] gives equations for the conditional characteristic function of a jump process. Segall et al. [2] discuss filtering for processes with counting observations. Their work carries over to processes with counting observations the martingale methods that Fujisaki et al. [1] had used to derive nonlinear filtering equations for processes governed by Ito equations. Many further references to filtering for processes with discrete state measurements are given in the references cited.The objective of this paper is to show that by making use of the concept of a representation of a functional the idea of Rudemo's proof of [6, pp. 595–599] can be carried over to jump processes. The author feels that this is a very interesting proof because of its simplicity. It involves only calculations with conditional expectations and the rule for differentiation of a quotient.     

跳跃——-扩散型欧式加权几何平均价格亚式期权定价

在亚式期权定价理论的基础上, 对期权的标的资产价格引入跳跃---扩散过程进行建模, 用几何Brown运动描述其常态连续变动, 用Possion过程刻画资产价格受新信息和稀有偶发事件的冲击发生跳跃的记数过程, 用对数正态随机变量描述跳跃对应的跳跃幅度, 在模型限定下运用Ito-Skorohod微分公式和等价鞅测度变换, 导出欧式加权几何平均价格亚式期权封闭形式的解析定价公式     

更新跳跃-扩散过程下的复合期权定价

假设关于标的股票的重大信息到达服从更新过程,并假设跳跃高度服从对数正态分布,利用期权定价的鞅方法,推导得到了股票价格服从更新跳跃-扩散过程的欧式期权以及复合期权的定价公式.     

A note on the mean correcting martingale measure for geometric Lévy processes

A martingale measure is constructed by using a mean correcting transform for the geometric Lévy processes model. It is shown that this measure is the mean correcting martingale measure if and only if, in the Lévy process, there exists a continuous Gaussian part. Although this measure cannot be equivalent to a physical probability for a pure jump Lévy process, we show that a European call option price under this measure is still arbitrage free.     

Rare Shock,Two-Factor Stochastic Volatility and Currency Option Pricing

Abstract

In this paper, we develop an option valuation model where the dynamics of the spot foreign exchange rate is governed by a two-factor Markov-modulated jump-diffusion process. The short-term fluctuation of stochastic volatility is driven by a Cox–Ingersoll–Ross (CIR) process and the long-term variation of stochastic volatility is driven by a continuous-time Markov chain which can be interpreted as economy states. Rare events are governed by a compound Poisson process with log-normal jump amplitude and stochastic jump intensity is modulated by a common continuous-time Markov chain. Since the market is incomplete under regime-switching assumptions, we determine a risk-neutral martingale measure via the Esscher transform and then give a pricing formula of currency options. Numerical results are presented for investigating the impact of the long-term volatility and the annual jump intensity on option prices.