亚式期权的一种定价方法

本文将用保险精算的方法对几何平均亚式期权进行定价,主要利用了正态分布的性质,将对连续形式的几何亚式期权进行定价。     

非线性Black-Scholes模型下几何平均亚式期权定价

在非线性Black-Scholes模型下,本文研究了几何平均亚式期权定价问题.首先利用单参数摄动方法,将亚式期权适合的偏微分方程分解成一系列常系数抛物方程.其次通过计算这些常系数抛物型方程的解,给出了几何平均亚式期权的近似定价公式.最后利用Green函数分析了近似结论的误差估计.     

混合分数布朗运动下亚式期权定价

运用混合分数布朗运动的Ito公式,将几何平均亚式期权定价化成一个偏微分方程求解问题,通过偏微分方程求解获得了几何平均型亚式看涨期权的定价公式.     

带跳次分数布朗运动下亚式期权定价

研究次分数布朗运动环境下带跳跃的几何亚式期权定价问题,给出了标的资产遵循次分数跳-扩散过程下的几何平均亚式期权的定价公式.首先,将次分数公式推广到次分数跳-扩散的情况;其次,结合自融资交易策略得到次分数布朗运动下带跳的几何平均亚式期权满足的Black-Scholes偏微分方程;最后,利用变量替换法求解该偏微分方程得出亚式期权的定价公式.通过数值实验,可以看出赫斯特指数和跳跃强度对亚式期权价值有显著的影响.推广了一些已有的结论,扩展了期权定价相关理论.     

具有浮动执行价的远期生效幂亚式期权定价（英文）

本文研究具有浮动执行价的远期生效幂亚式期权的定价问题.利用鞅方法,首先推导出浮动执行价的远期生效幂亚式几何平均看涨期权价格的显示公式.随后,利用方差减少技术,以此幂亚式几何看涨期权价格公式作为控制变量建立浮动执行价的远期生效幂亚式算术平均看涨期权价格计算的蒙特卡罗模拟算法,获得浮动执行价的远期生效幂亚式期权的定价结果.最后,应用数值实例,分析模型主要参数,时间窗框和幂因子等因素异动时对该类期权价格的影响.计算结果,带控制变量的模拟方法能有效地解决幂亚式期权的定价,以及幂因子对期权价格的影响有显著性作用.     

屏蔽数据情形下几何平均亚式期权定价模型

通常情况下,前人的工作都是连续情形下的结论,假定股票价格部分信息被屏蔽,只在有限的时刻点上股票价格是明确已知的.在此假设之下,尝试考虑几何平均型亚式期权定价问题.利用拟-鞅的方法,建立了分数布朗运动环境下亚式期权定价模型,获得了离散情形几何加权平均亚式期权价格的解析表达式.     

跳扩散模型中的测度变换与期权定价

本文研究在跳扩散模型中概率测度的变换对于期权定价的影响．通过选取不同的记价单位以及相应的概率测度，简化了期权定价中一些复杂的理论，得到了在具有随机利率的跳扩散模型中欧式期权的定价公式以及关于跳扩散模型中交换期权、亚式期权等新型期权的定性、定解性质．     

考虑信用风险的亚式期权定价

在结构化模型下,考虑标的资产的红利收益及企业债务为确定和随机两种情况,采用鞅方法得到有信用风险的连续几何平均亚式看涨和看跌期权的定价公式。且公式具有Black-Scholes平价关系。     

几何平均下的水平重置期权定价

针对重置期权的风险对冲△跳现象,研究了一种亚式特征的水平重置期权的定价问题.首先在BS模型下用股票的几何平均价格作为水平重置期权执行价格重置与否的统计量,然后运用测度变换和鞅定价方法得到了风险中性定价公式,最后利用风险中性定价公式得出风险对冲△值的显示解,改进了水平重置期权的部分已有结果.     

障碍期权推广到几何平均资产情况下的定价公式

平均期权是亚式期权,其到期收益依赖于某个形式的整个期权有效期内或是其一部分时段内标的资产的平均价格.障碍期权指的是期权是否有效或是否执行决定于标的资产价格在期权有效期内是否碰上障碍.本文主要讨论几何平均资产在期权有效期内设有障碍的期权定价公式,并运用反射原理和回望期权的方法来推导出期权的定价公式.     

美国灾害保险期货期权的保险精算定价

考虑连续情形、几何平均保险期货价格的基础上研究欧式看涨保险期货期权的定价,运用保险精算定价的方法,最终给出了连续情形、几何平均欧式看涨保险期货期权的定价.     

Asymptotic approach to the pricing of geometric asian options under the CEV model

This paper studies the pricing of Asian options whose payoffs depend on the average value of an underlying asset during the period to a maturity. Since the Asian option is not so sensitive to the value of underlying asset, the possibility of manipulation is relatively small than the other options such as European vanilla and barrier options. We derive the pricing formula of geometric Asian options under the constant elasticity of variance (CEV) model that is one of local volatility models, and investigate the implication of the CEV model for geometric Asian options.     

Simulation methods for valuing Asian option prices in a hyperbolic asset price model

In this paper, we present a Quasi-Monte Carlo approach for pricingEuropean-style Asian options, i.e. for options whose pay-offdepends on the average price of the underlying asset where theaverage is extended over a fixed period up to the maturity date.Following a recent development in mathematical finance, we assumethat the log returns of the asset are not normally but hyperbolicallydistributed. This hypothesis is approved by several authorswith different statistic tests on real financial data. The aimof this paper is to advance the hyperbolic model to the pricingof Asian options, since there only exist pricing formulae forplain vanilla options and some types of exotic options (e.g.power call options, barrier options) so far. We show how onecan obtain prices of general Asian options in such incompletemarkets in an efficient way.     

两个或多个几何平均价格的最小或最大值期权的定价

两个或多个几何平均价格的最小或最大值期权是金融领域极具应用前景的新型复合期权.提出了一种新方法,简单而巧妙地得到了两个几何平均价格的最小值期权价格的解析公式.将该法直接推广,首次得到多个几何平均价格的最小和最大值期权的解析公式.首次给出的数值算例表明两个几何平均价格的最小值期权要比相应的最大值期权便宜,而它们都要比两资产的最大值期权便宜.若考虑红利率,则它们两者的价格都会减少.     

指数屏障期权定价模型

本文在股票价格服从几何布朗运动的假设下,采用一种简化的方法,推导了指数屏障期权定价公式。该方法具有一般性,能用来解决其它该类型的屏障期权的定价问题。     

Computational Methods for Pricing American Put Options

This work develops computational methods for pricing American put options under a Markov-switching diffusion market model. Two methods are suggested in this paper. The first method is a stochastic approximation approach. It can handle option pricing in a finite horizon, which is particularly useful in practice and provides a systematic approach. It does not require calibration of the system parameters nor estimation of the states of the switching process. Asymptotic results of the recursive algorithms are developed. The second method is based on a selling rule for the liquidation of a stock for perpetual options. Numerical results using stochastic approximation and Monte Carlo simulation are reported. Comparisons of different methods are made. This research was supported in part by the National Science Foundation and in part by the Wayne State University Research Enhancement Program.     

Stochastic Optimization Algorithms for Pricing American Put Options Under Regime-Switching Models

This work provides a Markov-modulated stochastic approximation based approach for pricing American put options under a regime-switching geometric Brownian motion market model. The solutions of pricing American options may be characterized by certain threshold values. Here, a class of Markov-modulated stochastic approximation (SA) algorithms is developed to determine the optimal threshold levels. For option pricing in a finite horizon, a SA procedure is carried out for a fixed time T. As T varies, the optimal threshold values obtained via SA trace out a curve, called the threshold frontier. Numerical experiments are reported to demonstrate the effectiveness of the approach. Our approach provides us with a viable computational tool and has advantage in terms of the reduced computational complexity compared with the variational or quasivariational inequality methods for optimal stopping.Communicated by C. T. LeondesThis research was supported in part by the National Science Foundation under Grant DMS-0304928, and in part by the National Natural Science Foundation of China under Grant 60574069.     

标的资产服从几何分数布朗运动的期权定价

本文在M ogens B ladt和T ina H av iid R ydberg无市场假设,仅利用价格过程的实际概率的期权保险精算定价模型的基础上,得出了标的资产服从几何分数布朗运动的欧式期权定价公式,并说明了几何布朗运动是本文的一种特殊情况.     

The discontinuous Galerkin method for discretely observed Asian options

Asian options represent an important subclass of the path-dependent contracts that are identified by payoff depending on the average of the underlying asset prices over the prespecified period of option lifetime. Commonly, this average is observed at discrete dates, and also, early exercise features can be admitted. As a result, analytical pricing formulae are not always available. Therefore, some form of a numerical approximation is essential for efficient option valuation. In this paper, we study a PDE model for pricing discretely observed arithmetic Asian options with fixed as well as floating strike for both European and American exercise features. The pricing equation for such options is similar to the Black-Scholes equation with 1 underlying asset, and the corresponding average appears only in the jump conditions across the sampling dates. The objective of the paper is to present the comprehensive methodological concept that forms and improves the valuation process. We employ a robust numerical procedure based on the discontinuous Galerkin approach arising from the piecewise polynomial generally discontinuous approximations. This technique enables a simple treatment of discrete sampling by incorporation of jump conditions at each monitoring date. Moreover, an American early exercise constraint is directly handled as an additional nonlinear source term in the pricing equation. The proposed solving procedure is accompanied by an empirical study with practical results compared to reference values.     

Prices and sensitivities of Asian options: A survey

Asian options are hard to price both analytically and numerically. Even though they have been the focus of much attention in recent years, there is no single technique which is widely accepted to price Asian options for all choices of market parameters. For hedging purposes, the estimation of the price sensitivities is often as important as the evaluation of the prices themselves. This paper provides a survey of current methods for pricing Asian options and computing their sensitivities to the key input parameters. The methods discussed include: Monte Carlo simulation, the finite difference approach and various quasi analytical approaches and approximations. We discuss practical numerical issues that arise in implementing these methods. The paper compares the accuracy and efficiency of the different approaches and offers some general conclusions.