带跳市场中随机利率下的美式—亚式期权定价

在假设期权标的资产价格服从跳跃-扩散模型、利率遵循短期随机利率模型的基础上,运用总体最小二乘拟蒙特卡罗方法为美式-亚式期权定价,并将得到的定价结果和不带跳市场中美式-亚式期权的价格进行比较,数值结果表明,运用总体最小二乘拟蒙特卡罗方法得到的期权价格更好地反映了实际期权价格,并且该方法用于美式-亚式期权定价是合理的,时效性强,收敛速度快.     

随机利率条件下的欧式期权定价

分别选择标的资产价格和零息债券价格为计价单位,给出了利率和标的资产价格的漂移系数和扩散系数为适应随机过程的条件下、在期权生命期内任意时刻的欧式期权价格的一般形式.当 利率和标的资产价格的波动率过程为时间 $t$的非随机函数时,欧式期权价格具有解析形式. 给出了一个标的资产价格服从几何布朗运动、利率服从HJM模型的欧式期权定价的例子,并导出期权价格的解析式.     

随机利率情形下外汇未定权益定价

在随机利率情形下,利用鞅方法给出外汇欧式未定权益定价公式,得到了欧式看涨期和看跌期权价格解析表达式及平价关系;最后,讨论期权套期保值策略。     

随机利率下亚式双币种期权的定价

在Black-Scholes的框架下,假设本国利率遵循短期随机利率模型(Vasicek模型),利用无套利方法,建立了敲定价和汇率分别为固定或浮动的3种情形下的亚式双币种期权的定价模型,运用偏微分方程的方法得到了这3种情形下期权的定价公式.然后,通过数值分析,讨论了期权关于时间变量的依赖行为.     

随机波动和跳跃下的短期利率动态

在短期利率模型中引入随机波动和跳跃两种因素,利用序贯参数更新思想和粒子滤波方法实现模型的估计,并对中国银行间短期利率进行实证分析. 研究结果显示短期利率存在显著的随机波动和跳跃特征,表明CIR-SV-J模型在描述短期利率动态中拟合效果最优,而且忽视随机波动或跳跃因素会使拟合变差,影响对利率均值回复特征的描述,并证明了随机波动因素在模拟中比跳跃因素起着更为重要的作用.     

利率与违约过程相关的信用贷款定价

在分析信用贷款和简化模型主要特征的基础上,针对利率过程与违约过程相关的情况,提出了应用简化模型解决银行信用贷款定价问题的建模思想.通过在风险中性测度下计算贷款成本支出和收入的现金流,建立了盈亏平衡下定价模型的框架,数学推导出了定价公式.得出了盈亏平衡条件下信用贷款利率的风险升水取决于贷款客户的信用等级、贷款期限,以及无违约债券利率的结论,并在一定假设条件下,与银行授信额度,客户实际使用额度情况无关.     

随机利率权益连结保险合同的局部风险最小化

权益连结人寿保险合同是保险利益依赖于某特定股票价格的保险合同，考虑一个同时描述含具有随机利率的金融市场和被保险人寿命不确定性的模型，由于不完全性，不能利用可交易的股票和债券完全对冲掉保险合同的风险，提出利用不完全市场的局部风险最小对冲方法对冲保险者的风险，在利率是随机的情况下，通过概率测度变换来确定权益连结保险合同的局部风险最小对冲交易策略，给出了相应的内在风险过程，最后，给出了一个关于局部风险最小对冲误差与均值一方差对冲误差的比较结果。     

经典更新风险模型中带有随机利率的破产概率

研究了保险公司的有限时间破产概率.在利率为不确定的情形下,利率用随机过程描述,对保险公司的盈余用经典更新风险模型建模.假设索赔额具有正则变化尾的分布,不同于传统的方法,利用随机权和的结果得到了有限时间破产概率的尾等价式.为精确估计破产概率提供了有效的途径,推广了经典的结果.     

Pricing credit spread option with Longstaff-Schwartz and GARCH models in Chinese bond market

This paper investigates the mean-reversion and volatile of credit spread time series by using regression and time series analysis in Chinese bond market. Then the Longstaff-Schwartz model and GARCH model are applied to price credit spread put option. The authors compare the features of these two models by employing daily bond prices of government bonds and corporate bonds for the period 2010–2012 in Chinese bond market. The proposed results show that the higher the credit ratings of the corporate bonds are, the lower the prices of the credit spread options are.     

Pricing barrier options under stochastic volatility framework

Option pricing problem plays an extremely important role in quantitative finance. In complete market, Black-Scholes-Merton theory has been central to the development of financial engineering as both discipline and profession. However, in incomplete market, there are not any replicating portfolios for those options, and thus, the market traders cannot apply the law of one price for obtaining a unique solution. Fortunately, the authors can get a fair price via local-equilibrium principle. In this paper, the authors apply the stochastic control theory to price the exotic option-barrier options, and analyze the relationship between the price and the current positions. The authors get the explicit expression for the market price of the risk. The position effect plays a significant role in option pricing, because it can tell the trader how many and which direction to trade with the market in order to reach the local equilibrium with the market.     

Pricing variance swaps under stochastic volatility with an Ornstein-Uhlenbeck process

Pricing variance swaps under stochastic volatility has been an important subject pursued recently. Various approaches have been proposed, mainly due to the substantially increased trading activities of volatility-related derivatives in the past few years. In this note, the authors develop analytical method for pricing variance swaps under stochastic volatility with an Ornstein-Uhlenbeck(OU) process. By using Fourier transform algorithm, a closed-form solution for pricing variance swaps with stochastic volatility is obtained, and to give a comparison of fair strike value based on the discrete model, continuous model, and the Monte Carlo simulations.     

定时信用支付条件下的多时段EOQ问题

经典的经济订购批量（EOQ）问题有两个基本假设：时域无限和模型的费用参数不变。对基于供应商提供定时信用支付条件下的有限时域中各时段货价发生变动的EOQ问题进行了研究，并得到了最优订购策略。这为进一步研究买卖方的协作机制提供了新的思路。     

Heston随机波动率模型下一类多资产期权的定价

研究了一类多资产期权的定价,包括差价期权、交换期权、乘数期权和商数期权.为了改进传统Black-Scholes模型下波动率为常数的不合理假设,引进了Heston随机波动率模型,研究表明基础资产和波动率的演化过程作适当的变换后是一个3维仿射过程.仿射过程由其仿射变换唯一确定,而仿射变换可通过求解对应的Riccati微分方程组获得.基于仿射变换,给出了这一类多资产期权的半封闭形式的风险中性定价公式.最后,还给出了应用自适应Simpson数值积分法求解交换期权、乘数期权和商数期权风险中性价格的算例.     

随机利率下寿险保单组的均衡保费模型

在随机利率的背景下,对寿险保单组均衡保费的确定问题进行了研究.证明了当保单数趋于无穷多时,平均损失变量按概率收敛于某一个随机变量,推导得到了该随机变量的近似分布函数.通过计算两类相关系数,证明了该近似分布函数的合理性.在实例中,分析了其应用价值.     

扩散过程下单因素利率模型的统一框架

利用随机微积分等数学方法，在考虑利率的变动服从扩散过程的前提下，推导出一个单因素利率期限结构模型的统一分析框架，然后在这一杠架下具体分析比较了几个常用的模型，并且利用这一框架通过数值仿真例子探讨了利率风险的度量，最后从总体上探讨了单因素模型的优缺点及改进方向。     

On optimal mean-field control problem of mean-field forward-backward stochastic system with jumps under partial information

This paper considers the problem of partially observed optimal control for forward-backward stochastic systems driven by Brownian motions and an independent Poisson random measure with a feature that the cost functional is of mean-field type. When the coefficients of the system and the objective performance functionals are allowed to be random, possibly non-Markovian, Malliavin calculus is employed to derive a maximum principle for the optimal control of such a system where the adjoint process is explicitly expressed. The authors also investigate the mean-field type optimal control problem for the system driven by mean-field type forward-backward stochastic differential equations (FBSDEs in short) with jumps, where the coefficients contain not only the state process but also its expectation under partially observed information. The maximum principle is established using convex variational technique. An example is given to illustrate the obtained results.     

基于改进PSO算法的调和稳定跳跃下随机波动模型期权定价与套期保值

为同时捕获金融收益率分布的尖峰、厚尾、有偏特性及波动率扩散中的异方差效应、集聚效应,联合刻画股价动态演变中的无限跳跃变化,将无限活跃纯跳跃Lévy分布中的经典调和稳定分布(CTS)引入平方根CIR模型为基础的随机波动率(SV)过程,建立了经典调和稳定分布下随机波动(CTSSV)模型,重构了纯跳跃Lévy分布驱动的随机波动(LVSV)模型框架.利用LVSV模型特征函数表达式,采用分数阶快速傅里叶变换(FRFT)方法推导了欧式期权定价公式.由于模型参数众多和目标函数高维积分困难,提出了多区域自适应粒子群优化算法(MAPSO)估计LVSV模型参数.利用FRFT技术和MAPSO参数估计结果,使用CTSSV模型和方差伽马随机波动(VGSV)模型对恒生指数期权数据进行欧式期权定价和方差一最优期权套期保值,实证研究结果证明了MAPSO算法的优越性和CTSSV模型的有效性.     

Controlled mean-field backward stochastic differential equations with jumps involving the value function

This paper discusses mean-field backward stochastic differential equations (mean-field BSDEs) with jumps and a new type of controlled mean-field BSDEs with jumps, namely mean-field BSDEs with jumps strongly coupled with the value function of the associated control problem. The authors first prove the existence and the uniqueness as well as a comparison theorem for the above two types of BSDEs. For this the authors use an approximation method. Then, with the help of the notion of stochastic backward semigroups introduced by Peng in 1997, the authors get the dynamic programming principle (DPP) for the value functions. Furthermore, the authors prove that the value function is a viscosity solution of the associated nonlocal Hamilton-Jacobi-Bellman (HJB) integro-partial differential equation, which is unique in an adequate space of continuous functions introduced by Barles, et al. in 1997.     

Pricing for corporate property rights transfer with stochastic markets

This paper employs the real option theory to develop a pricing model for the transfer of property rights.We list the conditions for the good,intermediate and bad firms respectively,and work out the closed-form solution to the equilibrium transfer price,the optimal transfer timing.Using the comparative static analysis,we find that for good firms the transfer price of the target is increasing in its capital.The higher the capital of the target owns,the faster it will be transferred.For intermediate and bad firms,similar conclusions can be derived.The larger gap between the acquirer’s size and market power and those of the target,the lower the transfer triggered price.The transfer price goes up as the capital ratio of the acquirer over the target diminishes,while it is decreasing in the amount of the capital the target owns.     

Backward linear-quadratic stochastic optimal control and nonzero-sum differential game problem with random jumps

This paper studies the existence and uniqueness of solutions of fully coupled forward-backward stochastic differential equations with Brownian motion and random jumps. The result is applied to solve a linear-quadratic optimal control and a nonzero-sum differential game of backward stochastic differential equations. The optimal control and Nash equilibrium point are explicitly derived. Also the solvability of a kind Riccati equations is discussed. All these results develop those of Lim, Zhou (2001) and Yu, Ji (2008).