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。     

离散时间跳-扩散过程的期权定价

本文运用 Cox、Ross和 Rubinstein的方法 ,建立了股票价格离散时间的跳 -扩散模型 ,通过无套利理论推导出离散时间的欧式期权和美式期权定价公式     

随机利率下服从分数跳-扩散过程的回望期权定价

文章主要研究分数CIR利率模型下,标的资产股票价格服从分数跳-扩散过程的欧式回望期权定价问题.利用无套利原理和分数It公式,建立期权定价模型,得到了期权价格所满足的偏微分方程.并利用有限差分方法,给出了微分方程隐式格式的数值解,最后通过数值实验验证了该方法的有效性,推广了已有的回望期权定价理论.     

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.     

股票价格服从跳—扩散过程的两值期权定价模型

本讨论了一种新型期权－－两值期权的定价问题。建立由Ｐｏｓｓｉｏｎ跳－扩散过程驱动下的股票价格模型,在此模型下推导出期权的价值方程,并给出期权定价公式。     

基于跳扩散过程的欧式交换期权定价

考虑了股票价格服从带时滞泊松跳的跳扩散模型的欧式交换期权定价问题,运用无套利理论推导出期权价值微分方程,利用变换计价单位的方法,得到交换期权的显示定价公式.     

股票价格服从跳-扩散过程的下降敲出买入期权定价模型

本文讨论了一种新型期权-下降敲出买入期权定价问题.建立了由Possion跳-扩散过程驱动下的股票价格行为模型.在此模型下,推导出一种欧式下降敲出买入期权的定价公式.     

服从分数跳-扩散过程的复合期权定价

用保险精算法,在标的资产价格服从分数跳-扩散过程,且风险利率、波动率和期望收益率为时间的非随机函数的情况下,给出了欧式复合期权的定价公式.结果推广了Gukhal以及Li等关于传统跳-扩散模型下的欧式复合期权的定价公式.     

双跳-扩散过程下的脆弱期权定价

本文考虑含有交易对手违约风险的衍生产品的定价,以公司价值信用风险模型为基础,在标的资产价格和公司价值均服从跳-扩散过程的情况下,运用结构化的方法对脆弱期权定价进行建模,建立了双跳-扩散过程下的脆弱期权定价模型,分别在公司负债固定和随机的情况下推导出了脆弱期权的定价公式.     

跳-扩散价格过程下有交易成本的期权定价研究

Black-Scholes模型成功解决了完全市场下的欧式期权定价问题.研究在不完全市场下的一类期权定价问题,即在假设交易过程有交易成本且标的资产价格服从跳-扩散过程下,推导出了在该模型下期权价格所满足的微分方程.     

Pricing and Hedging of Lookback Options in Hyper-exponential Jump Diffusion Models

ABSTRACT

In this article, we consider the problem of pricing lookback options in certain exponential Lévy market models. While in the classic Black-Scholes models the price of such options can be calculated in closed form, for more general asset price model, one typically has to rely on (rather time-intense) Monte-Carlo or partial (integro)-differential equation (P(I)DE) methods. However, for Lévy processes with double exponentially distributed jumps, the lookback option price can be expressed as one-dimensional Laplace transform (cf. Kou, S. G., Petrella, G., & Wang, H. (2005). Pricing path-dependent options with jump risk via Laplace transforms. The Kyoto Economic Review, 74(9), 1–23.). The key ingredient to derive this representation is the explicit availability of the first passage time distribution for this particular Lévy process, which is well-known also for the more general class of hyper-exponential jump diffusions (HEJDs). In fact, Jeannin and Pistorius (Jeannin, M., & Pistorius, M. (2010). A transform approach to calculate prices and Greeks of barrier options driven by a class of Lévy processes. Quntitative Finance, 10(6), 629–644.) were able to derive formulae for the Laplace transformed price of certain barrier options in market models described by HEJD processes. Here, we similarly derive the Laplace transforms of floating and fixed strike lookback option prices and propose a numerical inversion scheme, which allows, like Fourier inversion methods for European vanilla options, the calculation of lookback options with different strikes in one shot. Additionally, we give semi-analytical formulae for several Greeks of the option price and discuss a method of extending the proposed method to generalized hyper-exponential (as e.g. NIG or CGMY) models by fitting a suitable HEJD process. Finally, we illustrate the theoretical findings by some numerical experiments.     

CEV过程下回望期权定价的高精度收敛差分算法

主要研究了CEV过程下一类回望期权的定价的数值解法问题.首先对期权价格所满足的微分方程中的空间变量进行半离散化处理,得到了具体的半离散化差分格式,然后证明了该差分格式具有稳定性和收敛性.数值试验表明本文算法是一个稳定收敛的算法.     

Pricing Forward Starting Call Options under a Markov-Modulated Jump Diffusion Process

The pricing problem of forward starting call options under a Markov-modulated jump diffusion process is studied. Under the assumption that the dynamics of risky asset follows a Markov-modulated jump diffusion process, the explicit analytical formula of forward starting call options is obtained by the change of measure and no arbitrage pricing theory. Moreover, the numerical results of option value are provided by the Monte Carlo method, and the value of forward starting call options is compared when the risky asset satisfies different financial models.     

基于CEV过程带交易费的脆弱期权定价的数值算法

主要研究基于CEV过程且支付交易费的脆弱期权定价的数值计算问题.首先通过构造无风险投资组合,导出了基于CEV过程且支付交易费用的脆弱期权定价的偏微分方程模型;其次应用有限差分方法将定价模型离散化,并设计数值算法;最后以看跌期权为例进行数值试验,分析各定价参数对看跌期权价值的影响.     

一个条件数学期望公式在期权定价中的应用

首先证明一个条件数学期望公式,然后建立股票价格的跳过程为Poisson过程,跳跃高度为常数时股票价格过程的随机微分方程,在风险中性的假设下,找等价鞅测度.利用鞅方法和已证明的条件数学期望公式,用较简单的数学推导得到了股票价格股从跳—扩散过程的欧式期权以及复合期权的定价公式.     

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.     

分数布朗运动和泊松过程共同驱动下的择好期权定价

本文讨论两资产择好期权的定价问题。在风险中性假设下,建立了两资产价格过程遵循分数布朗运动和带非时齐Poisson跳跃—扩散过程的择好期权定价模型,应用期权的保险精算法,给出了相应的择好期权的定价公式。     

A Stochastic Approximation Algorithm for American Lookback Put Options

This work is concerned with pricing American fixed lookback put options. The underlying asset is modeled as a switching diffusion process, where the switching is represented by a continuous-time Markov chain. The switching diffusion delineates stochastic volatility effectively. Nevertheless, this formulation together with the lookback style put option makes it virtually impossible to find closed-form solutions. As a viable alternative, a stochastic approximation algorithm is suggested. The convergence and rates of convergence of the algorithm are established.