基于加权可能性均值的亚式期权模糊定价

主要探讨不确定环境下用模糊集理论处理亚式期权的定价问题.运用梯形模糊数来表示标的资产价格、无风险利率、红利率和波动率,建立了亚式期权的加权可能性均值模糊定价模型,得到连续几何和算术亚式期权的模糊价格公式.最后通过数值例子表明:亚式期权的加权可能性均值模糊定价模型具有很大的灵活性,更符合现实的不确定情况,具有较强的实用价值.     

基于近似对冲跳跃风险的美式看跌期权定价及数值解法研究

考虑了基于近似对冲跳跃风险的美式看跌期权定价问题。首先,运用近似对冲跳跃风险、广义It 公式及无套利原理,得到了跳-扩散过程下的期权定价模型及期权价格所满足的偏微分方程。然后建立了美式看跌期权定价模型的隐式差分近似格式,并且证明了该差分格式具有的相容性、适定性、稳定性和收敛性。最后,数值实验表明,用本文方法为跳-扩散模型中的美式期权定价是可行的和有效的。     

认股权证的保险精算定价

引入Mogens Bladt和Tina Hviid Rydberg在无市场假设下关于期权定价的保险精算方法,利用公平保费原则和价格过程的实际概率测度,建立认股权证的定价模型,并给出定价公式.当投资者对原生资产期望回报率为无风险利率时,该定价为风险中性价格.     

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.     

连续支付红利及有交易成本的领子期权定价模型

在无风险利率r(t)和波动率σ(t)均为时间t的函数及市场无套利假设下,分别考虑了连续红利率q(t)和有交易成本情况下的领子期权定价,通过建立相应定价模型,得到了领子期权不同的定价公式.     

模糊环境中跳扩散模型下带交易费用的期权定价方法

不确定性是金融市场的一大特性,许多金融数据不能用确定的数来表示,例如人们经常运用市场无风险利率为5%左右,波动率3%左右等等这些具有模糊性的数据,为了描述这些数据,模糊数学被引入到金融理论中.该文将在标的资产服从Merton跳扩散过程的基础上,考虑模糊环境中带有交易费用的期权定价问题.首先,推导出跳扩散模型下带有交易费用的欧式看涨期权的定价公式.然后,将模糊理论引入到期权定价中,得到模糊环境中跳扩散模型下带交易费用的期权定价公式,再利用模糊积分进行退模糊化.最后,运用Sage软件对模型进行数值分析,并与已有模型进行比较.     

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.     

广义δ规避策略下的两值期权定价研究

在离散时间场合和不存在交易成本假设下,提出了期权定价的平均自融资极小方差规避策略,得到了含有残差风险的两值看涨期权价格满足的偏微分方程和相应的两值期权定价公式。通过用数值分析来比较新的期权定价模型与经典的期权定价模型,发现投资者的风险偏好和标度对期权定价有重要影响。由此说明,考虑残差风险对两值期权定价研究具有重要的理论和实际意义。     

广义δ规避策略下的两值期权定价研究

在离散时间场合和不存在交易成本假设下,提出了期权定价的平均自融资极小方差规避策略,得到了含有残差风险的两值看涨期权价格满足的偏微分方程和相应的两值期权定价公式。通过用数值分析来比较新的期权定价模型与经典的期权定价模型,发现投资者的风险偏好和标度对期权定价有重要影响。由此说明,考虑残差风险对两值期权定价研究具有重要的理论和实际意义。     

支付股利的跳跃-扩散过程下美式看涨期权定价

讨论了当基础资产遵循跳跃-扩散过程时支付股利美式看涨期权定价问题。在等价鞅测度下,导出在风险中性定价模型中,标的股票服从跳跃-扩散过程并且在期权有效期支付一次股利时美式看涨期权的解析定价公式,然后将其扩展到期权有效期多次支付股利的美式看涨期权,其价值在期权有效期等间隔支付股利次数趋于无穷时将收敛于连续支付股利的美式看涨期权,在此基础上,提供了便于实践应用的外推加速法以减少计算复杂性。     

Equilibruim approach of asset pricing under Lévy process

This work considers the equilibrium approach of asset pricing for Lévy process. It derives the equity premium and pricing kernel analytically for the stock price process, obtains an equilibrium option pricing formula, and explains some empirical evidence such as the negative variance risk premium, implied volatility smirk, and negative skewness risk premium by comparing the physical and risk-neutral distributions of the log return. Different from most of the current studies in equilibrium pricing under jump diffusion models, this work models the underlying asset price as the exponential of a Lévy process and thus allows nearly an arbitrage distribution of the jump component.     

具有变系数和红利的多维Black-Scholes模型

本文提出具有变系数和红利的多维Ｂｌａｃｈ－Ｓｃｈｏｌｅｓ模型,利用倒向随机微分方程和鞅方法,得到欧式未定权益的一般定价公式及套期保值策略,在具体金融市场,给出欧式期权的定价公式和套期保值策略,以及美式看涨期权价格的界。     

股票价格遵循几何分式Brown运动的期权定价

讨论了股票价格过程遵循几何分式B row n运动的欧式期权定价.由于该过程存在套利机会使得传统的期权定价方法(如资本资产定价模型(CAPM),套利定价模型(APT),动态均衡定价理论(DEPT))不可能对该期权定价.利用保险精算定价法,在对市场无其它任何假设条件下,获得了欧式期权的定价公式.并讨论了在有效期内股票支付已知红利和红利率的推广公式.     

具有分数O-U过程的永久美式看跌期权的定价

该文研究具有分数Ornstein-Uhlenbeck过程的永久美式看跌期权的定价问题.首先, 利用分析金融衍生品定价的delta对冲方法和无套利原理, 遵循标准的讨论步骤, 建立了标的资产价格服从分数Ornstein-Uhlenbeck过程的欧式看涨期权和看跌期权的定价公式.然后, 通过求解一个自由边界问题, 对标的资产价格服从分数Ornstein-Uhlenbeck过程的永久美式看跌期权的定价以及实施该期权时的临界标的资产价格给出了显式解.     

Pricing and hedging in a single period market with random interval valued assets

In this article, a new financial market model, in which securities have random interval valued payoffs, is proposed. As an extension of traditional random market model, some concepts, such as robust arbitrage opportunities, risk-neutral pricing measures and robust replicative strategies, are given and discussed parallel to those in traditional market analysis. With these new concepts, problems of pricing and hedging are analyzed. It is shown that the requirement of no robust arbitrage opportunities is equivalent to the existence of risk-neutral pricing measures. Taking no robust arbitrage as the valuation principle, the problem of pricing a contingent claim with random interval valued payoff is discussed. All no robust arbitrage prices of the claim form an interval, whose endpoints can be got from the risk-neutral pricing measures or from robust replicative strategies.     

Binary option pricing using fuzzy numbers

A binary option is a type of option where the payout is either fixed after the underlying stock exceeds the predetermined threshold (or strike price) or is nothing at all. Traditional option pricing models determine the option’s expected return without taking into account the uncertainty associated with the underlying asset price at maturity. Fuzzy set theory can be used to explicitly account for such uncertainty. Here we use fuzzy set theory to price binary options. Specifically, we study binary options by fuzzifying the maturity value of the stock price using trapezoidal, parabolic and adaptive fuzzy numbers.     

Pricing perpetual American options under a stochastic-volatility model with fast mean reversion

In this paper, we present a “correction” to Merton’s (1973) well-known classical case of pricing perpetual American puts by considering the same pricing problem under a general fast mean-reverting SV (stochastic-volatility) model. By using the perturbation method, two analytic formulae are derived for the option price and the optimal exercise price, respectively. Based on the newly obtained formulae, we conduct a quantitative analysis of the impact of the SV term on the price of a perpetual American put option as well as its early exercise strategies. It shows that the presence of a fast mean-reverting SV tends to universally increase the put option price and to defer the optimal time to exercise the option contract, had the underlying been assumed to be falling. It is also noted that such an effect could be quite significant when the option is near the money.     

Long-Range Dependence in the Risk-Neutral Measure for the Market on Lehman Brothers Collapse

This paper discusses the long-range dependence in the risk-neutral stock return process of the S&P 500 index option market. To observe the long-range dependence together with fat-tails, I define the parametric model of fractional Lévy process. Since the continuous time fractional Lévy process allows arbitrage, I use discrete time option pricing model based on the fractional Lévy process. By model calibration, we can capture the long-range dependence in the S&P 500 index option market. The paper finds that the long range dependence becomes stronger for the volatile market caused by the Lehman Brothers Collapse, comparing with other less volatility markets.