跳跃-扩散过程下百慕大交换期权定价

在等价鞅测度下,利用条件期望等知识导出在风险中性定价模型中,标的资产服从跳跃-扩散过程时百慕大交换期权的解析定价公式,依此结合Richardson两点外推加速法得到美式交换期权近似解.提出的数值算例阐明提前执行特征具有重要经济价值.定价结果可以评估场外交易的金融期权价格尤其是实物期权定价.     

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.     

Barrier Option Pricing in Regime Switching Models with Rebates

This paper is concerned with the valuation of single and double barrier knock-out call options in a Markovian regime switching model with specific rebates.The integral formulas of the rebates are derived via matrix Wiener-Hopf factorizations and Fourier transform techniques,also,the integral representations of the option prices are constructed.Moreover,the first-passage time density functions in two-state regime model are derived.As applications,several numerical algorithms and numerical example...     

Risk Minimizing Option Pricing in a Regime Switching Market

Abstract

We study option pricing in a regime switching market where the risk free interest rate, growth rate and the volatility of a stock depends on a finite state Markov chain. Using a minimal martingale measure we show that the risk minimizing option price satisfies a system of Black–Scholes partial differential equations with weak coupling.     

Mixture Dynamics and Regime Switching Diffusions with Application to Option Pricing

In this paper we present a class of regime switching diffusion models described by a pair $(X(t), Y(t)) \in \mathbb{R}^n \times {\cal S}In this paper we present a class of regime switching diffusion models described by a pair (X(t), Y(t)) ? \mathbbRⁿ ×S(X(t), Y(t)) \in \mathbb{R}^n \times {\cal S}, S = {1,2,?, N }{\cal S} = \{1,2,\ldots, N \}, Y(t) being a Markov chain, for which the marginal probability of the diffusive component X(t) is a given mixture. Our main motivation is to extend to a multivariate setting the class of mixture models proposed by Brigo and Mercurio in a series of papers. Furthermore, a simple algorithm is available for simulating paths through a thinning mechanism. The application to option pricing is considered by proposing a mixture version for the Margrabe Option formula and the Heston stochastic volatility formula for a plain vanilla.     

Stochastic Approximation Algorithms for Parameter Estimation in Option Pricing with Regime Switching

Abstract

This work is concerned with option pricing. Stochastic approximation/optimization algorithms are proposed and analyzed. The underlying stock price evolves according to two geometric Brownian motions coupled by a continuous-time finite state Markov chain. Recursive stochastic approximation algorithms are developed to estimate the implied volatility. Convergence of the algorithm is proved. Rate of convergence is also ascertained. Then real market data are used to compare our algorithms with other schemes.     

Pricing Volatility Swaps Under Heston's Stochastic Volatility Model with Regime Switching

A model is developed for pricing volatility derivatives, such as variance swaps and volatility swaps under a continuous‐time Markov‐modulated version of the stochastic volatility (SV) model developed by Heston. In particular, it is supposed that the parameters of this version of Heston's SV model depend on the states of a continuous‐time observable Markov chain process, which can be interpreted as the states of an observable macroeconomic factor. The market considered is incomplete in general, and hence, there is more than one equivalent martingale pricing measure. The regime switching Esscher transform used by Elliott et al. is adopted to determine a martingale pricing measure for the valuation of variance and volatility swaps in this incomplete market. Both probabilistic and partial differential equation (PDE) approaches are considered for the valuation of volatility derivatives.     

随机支付红利的跳-扩散模型的期权定价

假设股票随机支付红利,且红利的大小与支付红利时刻及股票价格有关,并假设股票价格过程服从跳—扩散模型(其中跳跃过程为Poisson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看涨和看跌期权的定价公式,推广了Merton关于期权定价的结果。     

标的股票服从更新跳跃-扩散过程的欧式期权定价

市场中重大信息的到达会引起股票价格的跳跃.假设关于标的股票的重大信息到达服从更新过程,利用套期保值和无套利的思想,研究了欧式期权的定价.给出了更新跳跃情况下股票的价格公式和欧式期权应满足的偏微分方程,用Feynman-Kac公式求得欧式买权的价格,并用计算结果进行了验证.     

基于机制转换模型的碳排放权期权定价

机制转换模型可以将外部环境的变化迅速反映到对模型参数的调整中,故运用马氏链刻画外部机制建立机制转换模型,基于此进行碳排放权期权定价。为实现其价值函数的数值计算,首次设计并证明了一套倒向递归算法,该算法依据马氏链跳跃的划分实现递归,从而克服了马氏链带来的运算高复杂度,其数值结果展示了完整的波动率微笑和期限结构。最后通过与前人提出的算法以及蒙特卡洛模拟比较表明,倒向递归算法可获得更高的准确性和运算效率。     

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。     

跳扩散模型下可提前违约的脆弱期权定价

该文章利用跳-扩散模型和几何布朗运动模型分别对股票价格和期权空头方资产负债比进行建模.在对违约风险的刻画上选取首达时模型,当资产负债比小于等于一时视为违约发生,并在此假定违约发生时期权立即执行,补偿率为外生随机变量.在跳跃幅度上,该文章给出了服从对数正态以及更一般分布的情况的讨论,同时在对股票的建模和对违约时刻的判断上分别完善了Rich和魏正元的工作,并使用Matlab工具对定价进行实现.     

Pricing Options Under a Generalized Markov-Modulated Jump-Diffusion Model

Abstract

We consider the pricing of options when the dynamics of the risky underlying asset are driven by a Markov-modulated jump-diffusion model. We suppose that the market interest rate, the drift and the volatility of the underlying risky asset switch over time according to the state of an economy, which is modelled by a continuous-time Markov chain. The measure process is defined to be a generalized mixture of Poisson random measure and encompasses a general class of processes, for example, a generalized gamma process, which includes the weighted gamma process and the inverse Gaussian process. Another interesting feature of the measure process is that jump times and jump sizes can be correlated in general. The model considered here can provide market practitioners with flexibility in modelling the dynamics of the underlying risky asset. We employ the generalized regime-switching Esscher transform to determine an equivalent martingale measure in the incomplete market setting. A system of coupled partial-differential-integral equations satisfied by the European option prices is derived. We also derive a decomposition result for an American put option into its European counterpart and early exercise premium. Simulation results of the model have been presented and discussed.     

指数Lévy跳-扩散模型下欧式期权的COS定价方法

主要研究指数Lévy形式的跳-扩散模型下欧式期权的定价问题.首先,给出了模型在均值修正等价鞅测度下的风险中性特征函数;然后,基于特征函数给出了欧式期权的傅里叶COS定价方法,并对COS方法进行修正,得到了指数Lévy形式跳-扩散模型的期权定价公式;最后,通过数值实验和实证分析检验了COS定价方法有效性,结果表明COS方...     

G框架下的欧式期权定价公式

用G几何布朗运动描述标的资产的价格变动,得到了欧式看涨期权定价的动态公式,并给出了动态复制策略的显示表达.     

Two-time-scale Jump-Diffusion Models with Markovian Switching Regimes

This work is concerned with two-time-scale jump diffusion models modulated by continuous-time Markov chains. One of our motivations stems from generalization of insurance risk models. The models are hybrid in the sense that they involve both continuous dynamics and discrete events. Two cases are considered. One of them has a fast-varying switching process, and the other contains a rapidly fluctuating diffusion. Two-time scale is used for complexity reduction. Using weak convergence methods, we derive their limit processes. The insight and implication provided by the analysis are: to reduce the complexity, one can ignore the detailed variations and concentrate on the limit or the reduced models.     

基于跳-分形模型的美式看涨期权定价

假设股票变化过程服从跳一分形布朗运动,根据风险中性定价原理对股票发生跳跃次数的收益求条件期望现值推导出M次离散支付红利的美式看涨期权解析定价方程,并使用外推加速法求出当M趋于无穷时方程的二重、三重正态积分多项式表达,依此计算连续支付红利美式看涨期权价值.数值模拟表明通常仅需二重正态积分多项式能产生精确价值,而在极实值状态下则需三重正态积分多项式才能满足,结合两种多项式可以编出有效数字程序评价支付红利的美式看涨期权.     

随机利率与双指数跳跃扩散模型下几何平均水平重置期权定价

在资产收益率满足双指数跳跃扩散模型条件下,用Vasicek随机利率模型刻画市场利率的变动,并充分考虑市场利率对资产收益率的影响,研究了具有几何平均特征的水平重置期权定价问题.通过应用测度变换和多维Fourier逆变换方法,给出了此类重置期权定价的解析公式.最后,通过数值实例分析了模型参数对期权价格的影响.结果表明,上跳概率、跳跃频率和利率的长期平均水平对期权价格有正向影响,上跳和下跳幅度对期权价格有反向影响,而利率的均值回复速率对期权价格的影响会因为利率与资产收益率间的相关系数的影响而呈现出复杂性.     

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．