模糊集理论在随机波动率期权定价中的应用

目的是对基于随机波动率模型的期权定价问题应用模糊集理论.主要思想是把波动率的概率表示转换为可能性表示,从而把关于股票价格的带随机波动率的随机过程简化为带模糊参数的随机过程.然后建立非线性偏微分方程对欧式期权进行定价.     

彩虹障碍期权的定价问题

采用偏微分方程方法研究了彩虹障碍期权的定价问题,推导出它满足的偏微分方程,通过求解这个偏微分方程得出了八种彩虹障碍期权的定价公式及四个看涨——看跌平价公式.     

带跳混合分数布朗运动下利差期权定价

在股票价格遵循带跳混合分数布朗运动过程假设下,得到了利差期权所满足的一般偏微分方程,并依据此偏微分方程获得了利差期权和标准欧式期权定价公式.推广了关于Black-Scholes期权定价的结论.     

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.     

分形布朗运动下有交易成本的外汇期权定价

研究了有交易成本的分形Black-Scholes外汇期权定价问题.基于汇率的分形布朗运动分布假设,运用分形布朗运动的性质和随机微积分方法,得到了欧式外汇期权价格所满足的偏微分方程.最后,建立离散时间条件下的非线性期权定价模型,并且通过解期权价格的偏微分方程给出了有交易成本的欧式外汇期权定价公式.     

双币种博弈期权

博弈期权是一种赋予期权出售方在期权有效期内任意时刻可以赎回合约权利的美式期权.在B-S框架下分析了双币种情形下的博弈期权定价行为,建立了双币种博弈期权的定价模型,分别讨论了敲定价以国内货币计价和国外货币计价下的博弈期权定价问题及其最优赎回策略,通过运用偏微分方程的方法得到了这两种情形下期权价格的表达式及其最优执行边界.最后通过数值模拟,分析了标的资产和汇率的波动水平以及汇率与标的资产的相关系数对期权的最优执行策略和违约金边界的影响.     

基于跳扩散过程的欧式交换期权定价

考虑了股票价格服从带时滞泊松跳的跳扩散模型的欧式交换期权定价问题,运用无套利理论推导出期权价值微分方程,利用变换计价单位的方法,得到交换期权的显示定价公式.     

浮动利率下基于不确定分数阶微分方程的期权定价研究

期权定价是金融数学领域中最复杂的问题之一.随着不确定理论公理化的建立,利用不确定理论进行期权定价的研究逐步展开,而分数阶微分方程的分数阶导数项可以很好地刻画金融市场的记忆特性.本文在机会空间中提出了一种新的不确定市场模型,假设股票价格满足Caputo型的不确定分数阶微分方程,且随机利率满足随机微分方程.基于该模型,利用Mittag-Leffler函数和微分方程的α-轨道我们给出了蝶式期权和欧式价差期权的定价公式及数值例子.     

非线性Black-Scholes模型下Bala期权定价

在非线性Black-Scholes模型下,研究了Bala期权定价问题.首先利用双参数摄动方法,将Bala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Bala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.     

跳扩散模型中亚式期权的定价

本文研究一类跳扩散模型中亚式期权的定价问题，得到了关于算术平均亚式期权的一个简单而统一的算法，并用偏微分方程的技巧将其定价问题归结为一个与路径依赖量无关的一维积分-微分方程的求解问题．     

Robust barrier option pricing by frame projection under exponential Lévy dynamics

We present an efficient method for robustly pricing discretely monitored barrier and occupation time derivatives under exponential Lévy models. This includes ordinary barrier options, as well as (resetting) Parisian options, delayed barrier options (also known as cumulative Parisian or Parasian options), fader options and step options (soft-barriers), all with single and double barriers, which have yet to be priced with more general Lévy processes, including KoBoL (CGMY), Merton’s jump diffusion and NIG. The method’s efficiency is derived in part from the use of frame-projected transition densities, which transform the problem into the Fourier domain and accelerate the convergence of intermediate expectations. Moreover, these expectations are approximated by Toeplitz matrix-vector multiplications, resulting in a fast implementation. We devise an augmentation approach that contributes to the method’s robustness, adding protection against mis-specifying a proper truncation support of the transition density. Theoretical convergence is verified by a series of numerical experiments which demonstrate the method’s efficiency and accuracy.     

Pricing Parisian down-and-in options

In this paper, we price American-style Parisian down-and-in call options under the Black–Scholes framework. Usually, pricing an American-style option is much more difficult than pricing its European-style counterpart because of the appearance of the optimal exercise boundary in the former. Fortunately, the optimal exercise boundary associated with an American-style Parisian knock-in option only appears implicitly in its pricing partial differential equation (PDE) systems, instead of explicitly as in the case of an American-style Parisian knock-out option. We also recognize that the “moving window” technique developed by Zhu and Chen (2013) for pricing European-style Parisian up-and-out call options can be adopted to price American-style Parisian knock-in options as well. In particular, we obtain a simple analytical solution for American-style Parisian down-and-in call options and our new formula is written in terms of four double integrals, which can be easily computed numerically.     

前向打靶格方法计算巴拉和巴黎期权的价格

本文采用前向打靶格方法计算了巴拉期权和巴黎期权的价格.     

Fast Laplace transform methods for the PDE system of Parisian and Parasian option pricing

Science China Mathematics - This paper develops a fast Laplace transform method for solving the complex PDE system arising from Parisian and Parasian option pricing. The value functions of the...     

Lie-algebraic approach for pricing moving barrier options with time-dependent parameters

In this paper we apply the Lie-algebraic technique for the valuation of moving barrier options with time-dependent parameters. The value of the underlying asset is assumed to follow the constant elasticity of variance (CEV) process. By exploiting the dynamical symmetry of the pricing partial differential equations, the new approach enables us to derive the analytical kernels of the pricing formulae straightforwardly, and thus provides an efficient way for computing the prices of the moving barrier options. The method is also able to provide tight upper and lower bounds for the exact prices of CEV barrier options with fixed barriers. In view of the CEV model being empirically considered to be a better candidate in equity option pricing than the traditional Black-Scholes model, our new approach could facilitate more efficient comparative pricing and precise risk management in equity derivatives with barriers by incorporating term-structures of interest rates, volatility and dividend into the CEV option valuation model.     

A Delayed Black and Scholes Formula

Abstract

In this article we develop an explicit formula for pricing European options when the underlying stock price follows nonlinear stochastic functional differential equations with fixed and variable delays. We believe that the proposed models are sufficiently flexible to fit real market data, and yet simple enough to allow for a closed-form representation of the option price. Furthermore, the models maintain the no-arbitrage property and the completeness of the market. The derivation of the option-pricing formula is based on an equivalent local martingale measure.     

跳-扩散结构下内含巴黎期权特征的可转债定价研究

考虑了跳-扩散结构下的可转换债券定价问题.首先分析了回售、赎回等条款,发现可转换债券具有巴黎期权特征.然后,根据期权定价理论,运用近似对冲跳跃风险的方法,建立了可转换债券的定价模型,得到了可转换债券价格所满足的偏微分方程.基于半离散化方法,给出了偏微分方程求解的数值方法,并且对数值方法的稳定性和误差进行了分析.最后,以重工转债和南山转债为例,对可转债市场进行了实证研究.     

Mixing Monte-Carlo and Partial Differential Equations for Pricing Options

There is a need for very fast option pricers when the financial objects are modeled by complex systems of stochastic differential equations. Here the authors investigate option pricers based on mixed Monte-Carlo partial differential solvers for stochastic volatility models such as Heston’s. It is found that orders of magnitude in speed are gained on full Monte-Carlo algorithms by solving all equations but one by a Monte-Carlo method, and pricing the underlying asset by a partial differential equation with random coefficients, derived by Itô calculus. This strategy is investigated for vanilla options, barrier options and American options with stochastic volatilities and jumps optionally.