期权定价的最大熵方法

以欧式期权为例,用标的资产(如股票风险资产)和无风险资产复制期权,并用自融资无套利原理分析金融市场的资产价值变化情况.在此基础上,通过最大熵原理来求得资产组合中每个资产所占的比重,进而得出期权定价模型,由于最大熵原理所求得概率分布是目前所知求概率分布方法中最客观、无偏的,所以求得的新模型不受金融市场类型和标的资产价格分布的限制,具有较强的客观、无偏、可预测性.通过对期权的常用算例计算,发现新模型比B-S模型以及一些其它熵期权定价模型有更准确的标的资产价格分布、更低的回溯测试误差.     

实物期权定价与风险对冲方法研究

实物期权定价面临的一个主要问题是其基本资产不可交易问题，在这种情况下，通常的解决办法是在市场中寻找一个与该基本资产最为相关的可交易资产，利用可交易资产的价格信息来对特定实物期权进行定价和风险对冲．利用随机动态规划法，本文得到基本资产不可交易时实物期权的最优风险对冲策略，在一定条件下还可以得到近似定价．     

混合分数布朗运动环境下短期利率服从vasicek模型的欧式期权定价

本文研究了混合分数布朗运动环境下欧式期权定价问题.运用混合分数布朗运动的Ito公式,得到了Black-Scholes偏微分方程.同时,通过求解Black-Scholes方程,得到了欧式看涨、看跌期权的定价公式。推广了Black-Scholes模型有关欧式期权定价的结论.     

双障碍幂型期权定价公式

为了进一步完善障碍期权理论,更好地适应金融市场的需求,本文在完全市场条件下,利用连续时间的双障碍幂型期权买权过程的鞅性和等价鞅测度变换的方法,得到了双障碍幂型期权定价模型的显式解.     

A stable local radial basis function method for option pricing problem under the Bates model

We propose a local mesh‐free method for the Bates–Scott option pricing model, a 2D partial integro‐differential equation (PIDE) arising in computational finance. A Wendland radial basis function (RBF) approach is used for the discretization of the spatial variables along with a linear interpolation technique for the integral operator. The resulting set of ordinary differential equations (ODEs) is tackled via a time integration method. A potential advantage of using RBFs is the small number of discrete equations that need to be solved. Computational experiments are presented to illustrate the performance of the contributed approach.     

具有随机执行时刻的广义复合期权定价

本文定义了具有随机执行时刻的广义复合期权,导出了不同情形下的广义复合期权定价公式.考虑有保底收入的复合期权投资,定义了带门限的广义复合期权,导出期权定价公式.讨论这两种期权性质及应用价值,对复合期权进一步作推广.     

基于混合规避策略的期权定价及其数值分析

考虑现实市场中红利的存在、波动率等参数随时间变化以及交易时间不连续产生的对冲风险不可忽略,研究离散时间、支付红利条件下基于混合规避策略的期权定价模型.由平均自融资-极小方差规避策略得到相应欧式看涨期权定价方程,并且分别使用偏微分方法和概率论方法得到统一的闭形解.数值分析表明,与经典的期权定价模型相比,新模型中的期权价格更接近对冲成本.     

突发事件冲击下基于或有支付机制的创投融资决策

探讨了突发事件冲击下基于或有支付机制的创业融资优化决策问题.假定创业企业利润流服从跳跃-扩散过程,运用实物期权方法推导出投资机会价值与最优投资时机,给出了最优的或有支付决策,使得创业企业家和风险投资家愿意共同支持给定的创业企业的增长策略.研究发现,突发事件时创业企业家和风险投资家的最优投资时机不受或有支付类型的影响.突发事件的平均发生率越大,双方共同投资的时机越早.利润流跳跃幅度越大,共同投资的时机也越早.目标实现时刻进行支付的或有支付具有更高的投资机会价值,可变数额或有支付具有更高的投资机会价值.     

High-Order Methods for Exotic Options and Greeks Under Regime-Switching Jump-Diffusion Models

This paper aims to develop high-order numerical methods for solving the system partial differential equations (PDEs) and partial integro-differential equations (PIDEs) arising in exotic option pricing under regime-switching models and regime-switching jump-diffusion models, respectively. Using cubic Hermite polynomials, the high-order collocation methods are proposed to solve the system PDEs and PIDEs. This collocation scheme has the second-order convergence rates in time and fourth-order rates in space. The computation of the Greeks for the options is also studied. Numerical examples are carried out to verify the high-order convergence and show the efficiency for computing the Greeks.     

Improving speed of convergence for the prices of European options in binomial trees with even numbers of steps

A new family of binomial trees with even numbers of steps as approximations to the Black-Scholes model is introduced. For this class of trees, the existence of asymptotic expansions for the prices of vanilla and digital European options is demonstrated. The rate of convergence is analyzed by discussion of the different cases of the spot stock price. As spacial cases, a tree with third order convergence is constructed in detail. The existence proof of any finite integer order of convergence is given.