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.     

连续时间下的可分离债券的定价

假设股票价格服从对数正态分布,且股票价格的波动率,无风险利率均为时间的确定性连续函数,利用鞅的方法研究了连续时间下的可分离债券的定价,并得到了可分离债券的定价公式.     

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.     

随机波动率下股价服从O-U过程的期权定价

假设股票价格遵循指数O-U过程,利用随机分析中的鞅方法,得到了具有随机波动率的欧式期权的定价公式,推广了B-S模型.     

随机利率下的可分离债券的定价

假设股票价格服从对数正态分布,利率是随机的,且股票价格的波动率,无风险利率均为时间的确定性连续函数,通过选取不同的计价单位及概率测度的变换,利用鞅的方法研究了随机利率下的可分离债券的定价,并得到了可分离债券的定价公式.     

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．     

基于Tsallis分布和更新过程的欧式期权定价

考虑到股价所具有的均值回复性、长记忆性和收益率尖峰后尾的特征,利用指数O-U过程和Tsallis熵分布分别对传统B-S定价模型的漂移项、随机波动项进行改进,并假设跳跃源服从比泊松过程更一般的更新过程,利用无套利思想和广义Ito公式,给出在股票价格服从一类更新跳-扩散过程下满足的偏微分方程,最后运用Feynman-Kac公式及等价鞅方法,计算欧式期权价格.     

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.     

有跳-扩散违约风险的可转换债券的定价

本文研究在跳-扩散违约风险模型下可转换债券的定价问题,假定股票价格服从对数正态分布,利用Martingale Pricing方法推导出其定价公式.     

可分离交易的可转换债券的鞅定价

从定量的角度分析了可分离交易可转换债券的价值构成,并在股票价格服从对数正态分布的条件下,利用Martingle Pricing方法推导出其定价公式.     

A GARCH option pricing model with α-stable innovations

We develop an option pricing model which is based on a GARCH asset return process with α-stable innovations with truncated tails. The approach utilizes a canonic martingale measure as pricing measure which provides the possibility of a model calibration to market prices. The GARCH-stable option pricing model allows the explanation of some well-known anomalies in empirical data as volatility clustering and heavy tailedness of the return distribution. Finally, the results of Monte Carlo simulations concerning the option price and the implied volatility with respect to different strike and maturity levels are presented.     

基于GARCH-GH模型的上证50ETF期权定价研究

上证50ETF期权是中国推出的首支股票期权.为描述上证50ETF收益率偏态、尖峰、时变波动率等特征,结合GARCH模型和广义双曲(Generalized Hyperbolic,GH)分布两方面的优势,建立GARCH-GH模型为上证50ETF期权定价.在等价鞅测度下,利用蒙特卡罗方法估计上证50ETF欧式认购期权价格.实证表明,相比较Black-Scholes模型和GARCH-Gaussian模型,GARCH-GH模型得到的结果更接近于上证50ETF期权的实际价格,其定价误差最小.     

Option pricing when the regime-switching risk is priced

We study the pricing of an option when the price dynamic of the underlying risky asset is governed by a Markov-modulated geometric Brownian motion. We suppose that the drift and volatility of the underlying risky asset are modulated by an observable continuous-time, finite-state Markov chain. We develop a two- stage pricing model which can price both the diffusion risk and the regime-switching risk based on the Esscher transform and the minimization of the maximum entropy between an equivalent martingale measure and the real-world probability measure over different states. Numerical experiments are conducted and their results reveal that the impact of pricing regime-switching risk on the option prices is significant.     

股价遵循分数跳扩散的混合型双标的两值期权定价

应用风险中性定价原理,研究标的股价服从分数跳扩散过程的混合型双标的两值期权的定价问题,并得出定价公式,并与股价服从标准布朗运动的定价公式做出比较分析.     

Probing Option Prices for Information

We present a methodology for extracting information from option prices when the market is viewed as knowledgeable. By expanding the information filtration judiciously and determining conditional characteristic functions for the log of the stock price, we obtain option pricing formulae which when fit to market data may reveal this information. In particular, we consider probing option prices for knowledge of the future stock price, instantaneous volatility, and the asymptotic dividend stream. Additionally the bridge laws developed are also useful for simulation based on stratified sampling that conditions on the terminal values of paths.      

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。     

On the option pricing for a generalization of the binomial model

In the paper, we give an elementary proof of the fact that the option pricing within the model in which variation in stock prices belongs to a limited range is reduced to a similar problem in the binomial model. We also find a hedging strategy. The result obtained allows us to calculate the option price for the market with random number of variations in stock prices. The proof is given for the homogeneous model. The proof for the heterogeneous model is similar. Further, we consider the European call option. Proceedings of the Seminar on Stability Problems for Stochastic Models, Vologda, Russia, 1998, Part I.     

Option pricing under a normal mixture distribution derived from the Markov tree model

We examine a Markov tree (MT) model for option pricing in which the dynamics of the underlying asset are modeled by a non-IID process. We show that the discrete probability mass function of log returns generated by the tree is closely approximated by a continuous mixture of two normal distributions. Using this normal mixture distribution and risk-neutral pricing, we derive a closed-form expression for European call option prices. We also suggest a regression tree-based method for estimating three volatility parameters σ, σ⁺, and σ⁻ required to apply the MT model. We apply the MT model to price call options on 89 non-dividend paying stocks from the S&P 500 index. For each stock symbol on a given day, we use the same parameters to price options across all strikes and expires. Comparing against the Black–Scholes model, we find that the MT model’s prices are closer to market prices.