双侧伽马期权定价与B-S模型的比较研究

本文首次运用双侧伽马分布对上证50ETF期权定价进行实证研究,并与经典的B-S模型进行比较。实证结果表明:采用双侧伽马模型来估算期权的理论价格,无论是在95%置信区间下还是在99%置信区间下,双侧伽马模型对于期权价格的测定都要优于B-S模型期权定价,因此,双侧伽马模型可以作为B-S模型的一种改进。     

A product integration method for the approximation of the early exercise boundary in the American option pricing problem

Integral equation methods are now becoming well‐established tools in the study of financial models used in theory and practice. In this paper, we investigate the fully nonlinear weakly singular nonstandard Volterra integral equations representing the early exercise boundary of American option contracts, which gained popularity in recent years. We propose a product integration approach based on linear barycentric rational interpolation to solve the problem. The price of the option will then be computed using the obtained approximation of the early exercise boundary and a barycentric rational quadrature. The convergence of the approximation scheme will also be analyzed. Finally, some numerical experiments based on the introduced method are presented and compared with some exiting approaches.     

资产剥离对风险溢价的影响研究

资产剥离会通过改变在位资产的构成而影响总资产风险收益特征。区别于已有研究将资产剥离看作看跌期权的通常做法,本文考虑企业剥离非核心资产并将资源重新聚焦于核心资产的一般情形,将资产剥离决策视作一种交换期权。运用实物期权方法和定价核技术,本文在连续时间框架下分析了资产剥离影响资产风险溢价的理论机理,并利用沪深A股上市公司数据进行实证检验。研究结果表明:资产剥离对资产风险溢价的影响方向取决于非核心和核心两类资产风险溢价的相对大小,影响程度则由两类资产价值占比的差异和交换期权的价值占比共同决定;进一步,等待剥离的决策灵活性会削弱资产剥离的影响;年轻阶段的资产剥离更加可能对风险溢价具有提升作用。     

基于实物期权定价方法的林业碳汇项目投资决策仿真研究

文章针对林业碳汇项目投资决策的复杂性、动态性和不确定性过程,利用林业—碳汇共同经营决策模型计算林业碳汇项目在投资期内的期望价值,采用实物期权定价方法对不同阶段不同策略下的林业碳汇项目价值进行评估,同时提出了多主体仿真建模方法,利用NetLogo仿真软件对林业碳汇项目投资决策过程进行动态模拟。仿真系统中涉及到的主体有林地、CO₂和投资者,投资者主要是作为观察者的身份,在不同阶段会做出不同的投资策略。模拟仿真三种不同状态下投资者的决策变化:一是传统林业投资动态模拟,不包含碳汇和期权因素动态模拟;二是引入碳汇市场后的林业投资动态模拟;三是引入碳汇市场和期权后林业投资动态模拟。NetLogo仿真分析结果表明引入碳汇市场可以提高投资者的收益并改变投资者的经营策略,同时引入期权,不仅增加了投资者的积极性而进行扩张投资,还可以更好地发挥林木碳汇功能,体现林业的生态价值及经济价值。     

A variational inequality arising from American installment call options pricing

In this paper we consider a parabolic variational inequality with two free boundaries arising from American continuous-installment call options pricing. We prove the existence and uniqueness of the solution to the problem. Moreover, we obtain the monotonicity and smoothness of two free boundaries and show its numerical solution by the binomial method.     

Revisit of stochastic mesh method for pricing American options

From an importance sampling viewpoint, Broadie and Glasserman [M. Broadie, P. Glasserman, A stochastic mesh method for pricing high-dimensional American options, Journal of Computational Finance 7 (4) (2004) 35–72] proposed a stochastic mesh method to price American options. In this paper, we revisit the method from a conditioning viewpoint, and derive some new weights.     

Vasicěk随机利率模型下指数O-U过程的幂型期权鞅定价

研究了Vasicěk随机利率模型中一维标准Brown运动与资产价格服从指数Ornstein-Uhlenbeck过程中一维标准Brown运动的相关系数为ρ(-1≤ρ≤1)的情形下的幂型期权鞅定价问题.推广了基于Vasicěk随机利率模型下基于Black-Scholes公式的两种幂型期权定价问题.并利用Girsanov定理和等价鞅测度,给出了基于Vasicěk随机利率模型下服从指数Ornstein-Uhlenbeck过程的两种欧式幂型期权鞅定价公式.     

指数O-U过程下保证险的保险精算定价

引入期权定价理论,利用保险精算方法,得到了全额担保和部分担保两类保证险的保险精算定价公式,其中未偿付额为常数,房产价格服从指数O-U过程.     

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.     

On nonlinear ill-posed inverse problems with applications to pricing of defaultable bonds and option pricing

This paper considers the estimation of an unknown function h that can be characterized as a solution to a nonlinear operator equation mapping between two infinite dimensional Hilbert spaces. The nonlinear operator is unknown but can be consistently estimated, and its inverse is discontinuous, rendering the problem ill-posed. We establish the consistency for the class of estimators that are regularized using general lower semicompact penalty functions. We derive the optimal convergence rates of the estimators under the Hilbert scale norms. We apply our results to two important problems in economics and finance: (1) estimating the parameters of the pricing kernel of defaultable bonds; (2) recovering the volatility surface implied by option prices allowing for measurement error in the option prices and numerical error in the computation of the operator. The first anther was supported by US National Science Foundation (Grant No. SES-0631613) and the Cowles Foundation for Research in Economics