随机利率下期权定价的探讨

利用Ho-Lee和Vasicek模型的简化形式推导出了Black-Scholes假设下的随机利率欧式期权定价公式,对无风险利率是常数的期权定价模型进行扩展,并与一般情况进行了分析与比较。     

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.     

依赖时间参数的几种有固定执行价格的亚式期权定价

本文在假定标的资产模型依赖时间参数（即无风险利率,标的资产的期望收益率,波动率及红利率）,利用已建立的亚式期权定价模型,讨论了上限型期权、抵付型期权、双向型期权等,得到相应的期权定价解析公式．     

含信用风险的上限型权证期权定价

本文通过公司价值模型研究一类含信用风险的上限型权证期权的定价.一方面利用鞅的方法推导出公司负债和无风险利率为常数情况下上限型权证期权的定价;另一方面通过概率的方法推导出含信用风险的上限型权证期权定价公式,该公式推广了Black-Scholes的欧式期权定价.     

次分数Vasicek随机利率模型下的欧式期权定价

本文对经典的B-S模型的假设条件进行放松,在假定利率为随机波动情况下对欧式期权定价进行讨论.作为利率的载体,本文首先对零息票债券进行定价,得出利率风险的市场价格的含义.其次,利用投资组合的?对冲原理构造无风险资产,求得欧式期权在次分数布朗运动驱动的随机利率模型下所满足的偏微分方程.最后,经过变量替换转化为经典的热传导方程,获得了欧式期权定价公式.     

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.     

认股权证的修正精算定价研究

基于修正Bladt和Rydberg在无市场假设下关于期权定价的保险精算方法的基础上,从评估实际损失和相应概率分布角度,利用公平保费原则建立认股权证的定价模型,并给出定价公式.且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.     

随机利率下的可分离债券的定价

假设股票价格服从对数正态分布,利率是随机的,且股票价格的波动率,无风险利率均为时间的确定性连续函数,通过选取不同的计价单位及概率测度的变换,利用鞅的方法研究了随机利率下的可分离债券的定价,并得到了可分离债券的定价公式.     

分数布朗运动环境中标的资产有红利支付的欧式期权定价

本文在标的资产或基础股票的价格服从几何分数布朗运动模型假设下 ,分别在无风险利率 r和股价波动率 σ为常数和为时间 t的非随机函数的情况下 ,求出了有红利支付的欧式期权的定价公式 .     

连续时间下的可分离债券的定价

假设股票价格服从对数正态分布,且股票价格的波动率,无风险利率均为时间的确定性连续函数,利用鞅的方法研究了连续时间下的可分离债券的定价,并得到了可分离债券的定价公式.     

不同模型下ES风险度量的计算

给出当金融资产遵从几何布朗运动时期望损失的计算。当金融资产价格的对数收益率服从均值方程为ARMA模型,方差方程为GARCH(s,n)模型,而均值修正后的收益率分别服从正态分布、t分布和GED分布时,给出了期望损失的计算。     

Pricing long-dated insurance contracts with stochastic interest rates and stochastic volatility

We consider the pricing of long-dated insurance contracts under stochastic interest rates and stochastic volatility. In particular, we focus on the valuation of insurance options with long-term equity or foreign exchange exposures. Our modeling framework extends the stochastic volatility model of Schöbel and Zhu (1999) by including stochastic interest rates. Moreover, we allow all driving model factors to be instantaneously correlated with each other, i.e. we allow for a general correlation structure between the instantaneous interest rates, the volatilities and the underlying stock returns. As insurance products often incorporate long-term exposures, they are typically more sensitive to changes in the interest rates, volatility and currencies. Therefore, having the flexibility to correlate the underlying asset price with both the stochastic volatility and the stochastic interest rates, yields a realistic model which is of practical importance for the pricing and hedging of such long-term contracts. We show that European options, typically used for the calibration of the model to market prices, and forward starting options can be priced efficiently and in closed-form by means of Fourier inversion techniques. We extensively discuss the numerical implementation of these pricing formulas, allowing for a fast and accurate valuation of European and forward starting options. The model will be especially useful for the pricing and risk management of insurance contracts and other exotic derivatives involving long-term maturities.     

Pricing long-dated insurance contracts with stochastic interest rates and stochastic volatility

We consider the pricing of long-dated insurance contracts under stochastic interest rates and stochastic volatility. In particular, we focus on the valuation of insurance options with long-term equity or foreign exchange exposures. Our modeling framework extends the stochastic volatility model of Schöbel and Zhu (1999) by including stochastic interest rates. Moreover, we allow all driving model factors to be instantaneously correlated with each other, i.e. we allow for a general correlation structure between the instantaneous interest rates, the volatilities and the underlying stock returns. As insurance products often incorporate long-term exposures, they are typically more sensitive to changes in the interest rates, volatility and currencies. Therefore, having the flexibility to correlate the underlying asset price with both the stochastic volatility and the stochastic interest rates, yields a realistic model which is of practical importance for the pricing and hedging of such long-term contracts. We show that European options, typically used for the calibration of the model to market prices, and forward starting options can be priced efficiently and in closed-form by means of Fourier inversion techniques. We extensively discuss the numerical implementation of these pricing formulas, allowing for a fast and accurate valuation of European and forward starting options. The model will be especially useful for the pricing and risk management of insurance contracts and other exotic derivatives involving long-term maturities.     

An optimal portfolio model with stochastic volatility and stochastic interest rate

We consider a portfolio optimization problem under stochastic volatility as well as stochastic interest rate on an infinite time horizon. It is assumed that risky asset prices follow geometric Brownian motion and both volatility and interest rate vary according to ergodic Markov diffusion processes and are correlated with risky asset price. We use an asymptotic method to obtain an optimal consumption and investment policy and find some characteristics of the policy depending upon the correlation between the underlying risky asset price and the stochastic interest rate.     

Analytical valuation of catastrophe equity options with negative exponential jumps

A catastrophe put option is valuable in the event that the underlying asset price is below the strike price; in addition, a specified catastrophic event must have happened and influenced the insured company. This paper analyzes the valuation of catastrophe put options under deterministic and stochastic interest rates when the underlying asset price is modeled through a Lévy process with finite activity. We provide explicit analytical formulas for evaluating values of catastrophe put options. The numerical examples illustrate how financial risks and catastrophic risks affect the prices of catastrophe put options.     

Multi‐asset barrier options and occupation time derivatives

A general framework is formulated to price various forms of European style multi‐asset barrier options and occupation time derivatives with one state variable having the barrier feature. Based on the lognormal assumption of asset price processes, the splitting direction technique is developed for deriving the joint density functions of multi‐variate terminal asset prices with provision for single or double barriers on one of the state variables. A systematic procedure is illustrated whereby multi‐asset option price formulas can be deduced in a systematic manner as extensions from those of their one‐asset counterparts. The formulation has been applied successfully to derive the analytic price formulas of multi‐asset options with external two‐sided barriers and sequential barriers, multi‐asset step options and delayed barrier options. The successful numerical implementation of these price formulas is demonstrated.     

Modelling Credit Risk in the Jump Threshold Framework

ABSTRACT

The jump threshold framework for credit risk modelling developed by Garreau and Kercheval enjoys the advantages of both structural- and reduced-form models. In their article, the focus is on multidimensional default dependence, under the assumptions that stock prices follow an exponential Lévy process (i.i.d. log returns) and that interest rates and stock volatility are constant. Explicit formulas for default time distributions and basket credit default swap (CDS) prices are obtained when the default threshold is deterministic, but only in terms of expectations when the default threshold is stochastic. In this article, we restrict attention to the one-dimensional, single-name case in order to obtain explicit closed-form solutions for the default time distribution when the default threshold, interest rate and volatility are all stochastic. When the interest rate and volatility processes are affine diffusions and the stochastic default threshold is properly chosen, we provide explicit formulas for the default time distribution, prices of defaultable bonds and CDS premia. The main idea is to make use of the Duffie–Pan–Singleton method of evaluating expectations of exponential integrals of affine diffusions.     

Determination of the Probability Distribution Measures from Market Option Prices Using the Method of Maximum Entropy in the Mean

Abstract

We consider the problem of recovering the risk-neutral probability distribution of the price of an asset, when the information available consists of the market price of derivatives of European type having the asset as underlying. The information available may or may not include the spot value of the asset as data. When we only know the true empirical law of the underlying, our method will provide a measure that is absolutely continuous with respect to the empirical law, thus making our procedure model independent. If we assume that the prices of the derivatives include risk premia and/or transaction prices, using this method it is possible to estimate those values, as well as the no-arbitrage prices. This is of interest not only when the market is not complete, but also if for some reason we do not have information about the model for the price of the underlying.     

跳跃扩散型离散算术平均亚式期权的近似价格公式

在标的资产价格遵循跳跃扩散过程条件下 ,研究没有封闭形式解的离散算术平均亚式期权 ,运用二阶 Edgeworth逼近得到离散算术平均亚式期权的近似价格公式 .     

期货市场中持仓量及参与者对资产价格的影响研究

本文通过建立一个期货市场的均衡模型,提出在具有套保需求和有限风险承受能力的前提下,期货价格能够预测未来资产价格变动的方向,持仓量能够辅助预测未来资产价格变动的剧烈程度;此外,市场中不知情投机者具有风险调整市场收益的作用,不知情套保者的参与能够稳定市场。对于持仓量是否能够辅助预测未来资产价格变动的剧烈程度,本文利用中国商品期货市场数据进行了实证检验,结果表明与理论研究的结论一致。