基于CEV过程带交易费的脆弱期权定价的数值算法

主要研究基于CEV过程且支付交易费的脆弱期权定价的数值计算问题.首先通过构造无风险投资组合,导出了基于CEV过程且支付交易费用的脆弱期权定价的偏微分方程模型;其次应用有限差分方法将定价模型离散化,并设计数值算法;最后以看跌期权为例进行数值试验,分析各定价参数对看跌期权价值的影响.     

带交易费用和红利的欧式期权定价的数值方法

本文在 L eland的带交易费用的欧式期权定价模型基础上 ,先推导出一般费用模型的定价公式 ,然后用二叉树图法给出了带有交易费用和红利的欧式看涨期权定价的数值方法 ,并比较了多头和空头的不同价值。     

基于GARCH模型的三叉树期权定价方法

在波动率满足GARCH模型下,提出了有支付红利和交易费用的三叉树图,通过建立三叉树模型得到了期权的定价模型.在此基础上进一步研究了一种强路径依赖型奇异回望期权的定价问题.最后进行数值计算和实证分析,结果表明,基于GARCH模型的三叉树定价方法是有效的,且计算稳定.     

具有违约风险和交易费的房产期权定价

房价涨幅过快过高在中国房产市场已经是一个不容回避的问题.房产期权作为一种平衡买卖双方利益进行风险管理的有效工具应运而生.在Black-Scholes定价模型的基础上,考虑违约风险和交易费用这两个影响房产期权定价的重要因素,采用未定权益思想方法和△-对冲技巧建立了房产期权的定价模型,然后对模型进行求解,获得相应的数学公式,为考虑具有违约风险和交易费用影响下房产期权进行定价.     

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.     

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.     

CEV和B&P作用下带交易费的亚式期权定价模型

基于B-S定价模型的基础,利用Ito公式及保值策略,研究了股票价格服从CEV模型和B&P过程且存在交易费用的亚式期权的定价模型.得出了该类期权价格所满足的微分方程,并对模型做了数值分析.结论拓宽了亚式期权的研究范围,更适用于实际金融市场.     

分数布朗运动环境下上证50ETF期权定价的实证研究

合理的期权价格是期权交易的前提.基于上证50ETF期权的最新数据,运用经典的BlackScholes定价模型、蒙特卡洛模拟期权定价方法和分数布朗运动定价模型对上证50ETF期权价格进行实证研究.结果表明:分数布朗运动定价模型相比较经典的Black-Scholes定价模型和蒙特卡洛方法在接近期权的实际成交价格时均方误差和均方比例误差更小,能够较为准确地、有效地模拟出上证50ETF期权的价格,从而对投资者的期权交易行为具有一定的指导作用,也为国内其他品种的期权定价研究提供参考.     

支付交易费的回望期权定价

以Black-Scholes模型为基础,通过对回望期权的研究,结合有交易费的欧式期权的定价公式,运用证券组合技术与无套利原理,建立了支付交易费的回望期权定价模型.通过对方程化简和分析,运到PDE相关方法化为Cauchy问题,得出定价公式.     

分数布朗运动下带交易费用和红利的两值期权定价

本文研究了在分数布朗运动环境下带交易费用和红利的两值期权定价问题.在标的资产服从几何分数布朗运动的情况下,利用分数It公式和无风险套利原理建立了分数布朗运动环境下带交易费用和红利的两值期权的定价模型.再通过用偏微分方程的方法进行求解此定价模型,得到了在分数布朗运动下带交易费用和红利的两值期权定价公式.所得结果推广了已有结论.     

同质信念与Black-Scholes公式定价偏差——基于期权定价的保险精算方法

本文分析了包括BS的鞅方法在内的四种期权定价方法.Mogens Bldt和郑红给出的保险精算定价方法是非套利定价,缺少足够的理论基础.另外,存在同质信念的市场上BS定价并非完全无套利,如果对不同股票进行分散化投资,只要基础资产种类足够多,也可套取利益.不同投资者的漂移率取同一常数μ体现了他们的同质信念,与弱有效的现实市场情况相符.进一步分析得出结论,即使存在同质信念,如果μt是一个可料过程而非常数,会使得精算定价难以计算确定期望,从而无效.根据SAS软件的模拟结果,在同质信念下,精算套利定价显著高于BS鞅方法定价.通过恒生股指期权的实证检验,说明同质信念下的漂移率更适合取同一常数而不是可料过程,实证检验发现精算套利理论价格与实际价格差距很小,说明此方法比较有效.     

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.     

Black-Scholes期权定价的风险(英文)

Black-Scholes期权定价的推导假定对冲是连续的以达到无风险. 但事实上, 股市收市后将不再有交易, 所以投资者不能连续的调整其投资组合, 故期权定价的风险是存在的. 本文讨论了这种不连续对冲带来的期权定价的风险, 并以美国股市的几种指标股为例, 给出其比率. 比率多在5%以上, 有的可以达到38%, 可见传统期权定价的风险不容小觑.     

沪铜期货及其期权的量化定价实证研究

作为最大的铜消费市场,铜在我国占据着最重要地位。随着2018年9月沪铜期货期权正式登陆上海期货交易所,我国铜交易产品进一步与国际接轨。虽然拥有世界领先的铜交易市场,但我国学术领域尚缺乏采用量化方法对沪铜期货及其期权的深入实证研究。在大宗商品量化领域,Schwartz二因子模型^[1]被看作是量化期货定价的基准模型,本文通过实证分析发现经典二因子模型在中国市场应用时会产生“水土不服”,因此本文采用波动参数的思想,修正了Schwartz二因子模型在中国沪铜市场的“水土不服”。另外,根据早期文献对认购期货期权的量化定价模型^[2,3],本文明确了认沽期货期权的量化定价公式,并通过对沪铜期货期权定价模型的实证分析,发现目前沪铜期货期权存在套利空间。     

DG method for the numerical pricing of two-asset European-style Asian options with fixed strike

The evaluation of option premium is a very delicate issue arising from the assumptions made under a financial market model, and pricing of a wide range of options is generally feasible only when numerical methods are involved. This paper is based on our recent research on numerical pricing of path-dependent multi-asset options and extends these results also to the case of Asian options with fixed strike. First, we recall the three-dimensional backward parabolic PDE describing the evolution of European-style Asian option contracts on two assets, whose payoff depends on the difference of the strike price and the average value of the basket of two underlying assets during the life of the option. Further, a suitable transformation of variables respecting this complex form of a payoff function reduces the problem to a two-dimensional equation belonging to the class of convection-diffusion problems and the discontinuous Galerkin (DG) method is applied to it in order to utilize its solving potentials. The whole procedure is accompanied with theoretical results and differences to the floating strike case are discussed. Finally, reference numerical experiments on real market data illustrate comprehensive empirical findings on Asian options.     

Assessment and propagation of input uncertainty in tree‐based option pricing models

This paper aims to provide a practical example of assessment and propagation of input uncertainty for option pricing when using tree‐based methods. Input uncertainty is propagated into output uncertainty, reflecting that option prices are as unknown as the inputs they are based on. Option pricing formulas are tools whose validity is conditional not only on how close the model represents reality, but also on the quality of the inputs they use, and those inputs are usually not observable. We show three different approaches to integrating out the model nuisance parameters and show how this translates into model uncertainty in the tree model space for the theoretical option prices. We compare our method with classical calibration‐based results assuming that there is no options market established and no statistical model linking inputs and outputs. These methods can be applied to pricing of instruments for which there is no options market, as well as a methodological tool to account for parameter and model uncertainty in theoretical option pricing. Copyright © 2008 John Wiley & Sons, Ltd.     

PIDE and Solution Related to Pricing of Lévy Driven Arithmetic Type Floating Asian Options

We propose a stochastic model to develop a pricing partial integro-differential equation (PIDE) and its Fourier transform expression for floating Asian options based on the Itô-Lévy calculus. The stock price is driven by a class of infinite activity Lévy processes leading to the market inherently incomplete, and dynamic hedging is no longer risk free. We first develop a PIDE for floating Asian options, and apply the Fourier transform to derive a pricing expression. Our main contribution is to develop a PIDE with its closed form pricing expression for the contract. The procedure is easy to implement for all class of Lévy processes. Finally, the model is calibrated with the market data and its accuracy is presented.     

上证50ETF期权定价有效性的研究:基于B-S-M模型和蒙特卡罗模拟

上证50ETF期权作为中国资本市场上股票期权的第一个试点产品,其定价问题尤为重要。本文分别运用B-S-M期权定价模型和蒙特卡罗模拟方法对其定价进行实证研究,分析结果表明:1)IGARCH模型比传统的GARCH模型更能较好地拟合上证50ETF的波动率;2)当模拟次数为1000时,蒙特卡罗方法的效率一致地高于B-S-M模型,并且除了对偶变量技术的拟蒙特卡罗其他模型的精确度也都高于B-S-M模型;3)B-S-M模型和蒙特卡罗模拟方法都可以较为准确地、有效地模拟出上证50ETF期权价格。这些研究将为今后期权定价模型的发展和完善提供必要的参考和指引。     

基于贝叶斯MCMC算法的美式期权定价

鉴于美式期权的定价具有后向迭代搜索特征,本文结合Longstaff和Schwartz提出的美式期权定价的最小二乘模拟方法,研究基于马尔科夫链蒙特卡洛算法对回归方程系数的估计,实现对美式期权的双重模拟定价.通过对无红利美式看跌股票期权定价进行大量实证模拟,从期权价值定价误差等方面同著名的最小二乘蒙特卡洛模拟方法进行对比分析,结果表明基于MCMC回归算法给出的美式期权定价具有更高的精确度.模拟实证结果表明本文提出的对美式期权定价方法具有较好的可行性、有效性与广泛的适用性.该方法的不足之处就是类似于一般的蒙特卡洛方法,会使得求解的计算量有所加大.     

Market calibration under a long memory stochastic volatility model

In this article, we study a long memory stochastic volatility model (LSV), under which stock prices follow a jump-diffusion stochastic process and its stochastic volatility is driven by a continuous-time fractional process that attains a long memory. LSV model should take into account most of the observed market aspects and unlike many other approaches, the volatility clustering phenomenon is captured explicitly by the long memory parameter. Moreover, this property has been reported in realized volatility time-series across different asset classes and time periods. In the first part of the article, we derive an alternative formula for pricing European securities. The formula enables us to effectively price European options and to calibrate the model to a given option market. In the second part of the article, we provide an empirical review of the model calibration. For this purpose, a set of traded FTSE 100 index call options is used and the long memory volatility model is compared to a popular pricing approach – the Heston model. To test stability of calibrated parameters and to verify calibration results from previous data set, we utilize multiple data sets from NYSE option market on Apple Inc. stock.