分数布朗运动下几何平均亚式权证的定价

假设股票价格变化过程服从几何分数布朗运动,建立了分数布朗运动下的亚式期权定价模型.利用分数-It-公式,推导出分数布朗运动下亚式期权的价值所满足的含有三个变量偏微分方程.然后,引进适当的组合变量,将其定解问题转化为一个与路径无关的一维微分方程问题.进一步通过随机偏微分方程方法求解出分数布朗运动下亚式期权的定价公式.最后利用权证定价原理对稀释效用做出调整后,得到分数布朗运动下亚式股本权证定价公式.<正>~~     

屏蔽数据情形下几何平均亚式期权定价模型

通常情况下,前人的工作都是连续情形下的结论,假定股票价格部分信息被屏蔽,只在有限的时刻点上股票价格是明确已知的.在此假设之下,尝试考虑几何平均型亚式期权定价问题.利用拟-鞅的方法,建立了分数布朗运动环境下亚式期权定价模型,获得了离散情形几何加权平均亚式期权价格的解析表达式.     

双随机跳扩散模型下亚式期权的定价

研究了双随机跳扩散模型下的亚式期权的定价问题.首先引入一个双随机跳扩散过程.然后通过测度变换消除了亚式期权定价中的路经依赖性问题.最后利用鞅定价方法和Ito引理得到了跳扩散模型下的亚式期权价格必须满足的一个积微分方程.通过数值求解该积微分方程就可以得到了亚式期权的价格,供投资者参考.     

具有浮动执行价的远期生效幂亚式期权定价（英文）

本文研究具有浮动执行价的远期生效幂亚式期权的定价问题.利用鞅方法,首先推导出浮动执行价的远期生效幂亚式几何平均看涨期权价格的显示公式.随后,利用方差减少技术,以此幂亚式几何看涨期权价格公式作为控制变量建立浮动执行价的远期生效幂亚式算术平均看涨期权价格计算的蒙特卡罗模拟算法,获得浮动执行价的远期生效幂亚式期权的定价结果.最后,应用数值实例,分析模型主要参数,时间窗框和幂因子等因素异动时对该类期权价格的影响.计算结果,带控制变量的模拟方法能有效地解决幂亚式期权的定价,以及幂因子对期权价格的影响有显著性作用.     

非线性Black-Scholes模型下几何平均亚式期权定价

在非线性Black-Scholes模型下,本文研究了几何平均亚式期权定价问题.首先利用单参数摄动方法,将亚式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,给出了几何平均亚式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.     

“亚式——阶梯”期权定价模型

本文结合亚式期权和阶梯期权的特点,构造出一种用于经理期权激励机制的新型期权——"亚式——阶梯"期权,建立相应的期权定价模型,运用偏微分方程方法,构造该期权价格所满足的具有恰当边值条件和终值条件的偏微分方程,并得出其精确解。     

跳扩散模型中的测度变换与期权定价

本文研究在跳扩散模型中概率测度的变换对于期权定价的影响．通过选取不同的记价单位以及相应的概率测度，简化了期权定价中一些复杂的理论，得到了在具有随机利率的跳扩散模型中欧式期权的定价公式以及关于跳扩散模型中交换期权、亚式期权等新型期权的定性、定解性质．     

随机波动模型下算术亚式期权的Monte Carlo模拟定价

在随机波动模型下,研究亚式期权的定价问题.推导出了标的资产及其随机波动模型的路径,利用对偶变量法对亚式期权进行数值模拟计算,并对随机波动模型下与B-S模型下的欧式期权和亚式期权定价结果进行比较,最后给出了具有固定敲定价格和浮动敲定价格的算术亚式期权的数值计算结果.     

亚式期权的一种定价方法

本文将用保险精算的方法对几何平均亚式期权进行定价,主要利用了正态分布的性质,将对连续形式的几何亚式期权进行定价。     

带交易费的亚式期权定价研究和数值分析

在Leland带交易费的期权定价模型的基础上,对亚式期权定价模型中的期权规避策略进行了优化,提出用修正的Leland规避策略构造亚式期权的复制策略,并推导出了在修正的规避策略下带交易费的定价模型.对修正的规避策略与Leland规避策略进行了比较,结果表明,在不同的调整时间间隔下,本文所用的修正的规避策略都优于Leland规避策略.     

Stationary waiting time derivatives

We investigate the stability of waiting-time derivatives when inputs to a queueing system-service times and interarrival times-depend on a parameter. We give conditions under which the sequence of waiting-time derivatives admits a stationary distribution, and under which the derivatives converge to the stationary regime from all initial conditions. Further hypotheses ensure that the expectation of a stationary waiting-time derivative is, in fact, the derivative of the expected stationary waiting time. This validates the use of simulation-based infinitesimal perturbation analysis estimates with a variety of queueing processes.We examine waiting-time sequences satisfying recursive equations. Our basic assumption is that the input and its derivatives are stationary and ergodic. Under monotonicity conditions, the method of Loynes establishes the convergence of the derivatives. Even without such conditions, the derivatives obey a linear difference equation with random coefficients, and we exploit this fact to find stability conditions.     

Generalized Normal Derivatives and Their Applications in DDMs with Nonmatching Grids and DG Methods

A class of normal-like derivatives for functions with low regularity defined on Lipschitz domains are introduced and studied.It is shown that the new normal-like derivatives,which are called the generalized normal derivatives,preserve the major prop- erties of the existing standard normal derivatives.The generalized normal derivatives are then applied to analyze the convergence of domain decomposition methods (DDMs) with nonmatching grids and discontinuous Galerkin (DG) methods for second-order el- liptic problems.The approximate solutions generated by these methods still possess the optimal energy-norm error estimates,even if the exact solutions to the underlying elliptic problems admit very low regularities.     

Stability of optimal filter higher-order derivatives

In many scenarios, a state-space model depends on a parameter which needs to be inferred from data. Using stochastic gradient search and the optimal filter first-order derivatives, the parameter can be estimated online. To analyze the asymptotic behavior of such methods, it is necessary to establish results on the existence and stability of the optimal filter higher-order derivatives. These properties are studied here. Under regularity conditions, we show that the optimal filter higher-order derivatives exist and forget initial conditions exponentially fast. We also show that the same derivatives are geometrically ergodic.     

不可解Lie代数完备的等价条件

目的是给出特征零域上的有限维不可解L ie代数L完备的等价条件.主要是讨论L的所有导子都是内导子的充要条件.根据L的L ev i分解式(即L分解成它的根基R和另一个半单子代数S的空间直和),先在一定条件下将根基R上的导子扩充为L上的导子,给出了L完备的一个必要条件,然后又将L上的导子诱导到半单子代数S上,利用半单子代数S的完备性,证明了上述必要条件也是L完备的充分条件.     

On the Existence of Smooth Solutions for Fully Nonlinear Parabolic Equations with Measurable “Coefficients” without Convexity Assumptions

We show that for any uniformly parabolic fully nonlinear second-order equation with bounded measurable “coefficients” and bounded “free” term in any cylindrical smooth domain with smooth boundary data one can find an approximating equation which has a unique continuous solution with the first derivatives bounded and the second spacial derivatives locally bounded. The approximating equation is constructed in such a way that it modifies the original one only for large values of the unknown function and its spacial derivatives.     

变序结构局部弱非控点的二阶刻画

引进了一种二阶切导数,借助该切导数给出了变序结构集值优化问题取得局部弱非控点的二阶最优性必要条件.在某种特殊情况下,给出了一阶最优性条件.通过修正的Dubovitskij-Miljutin切锥导出的约束规格,给出了两个集值映射之和的二阶相依切导数的关系式,进一步得到目标函数与变锥函数的二阶相依切导数分开形式的最优性必要条件.     

Linearkombinationen von iterierten Bernsteinoperatoren

The Bernstein polynomials B_n(f) approximate every function f which is continuous on [0, 1] uniformly on [0, 1]. Also the derivatives of the Bernstein polynomials approach the derivatives of the function f uniformly on [0, 1], if f has continuous derivatives. In this paper we shall introduce polynomial operators, namely linear combinations of iterates of Bernstein operators, which have the same properties but, under definite conditions, approximate f more closely than the Bernstein operators.     

Fractal functions with continuous Weil-type derivatives of variable order in control of distributed systems

Properties of fractal functions which are not differentiable in the classical sense but have continuous Weil-type derivatives of variable order at each point are studied. It is shown that the Weierstrass, Takagi, and Besicovitch classical fractal functions have such derivatives. An example of an oscillatory system controlling which requires constructing a fractal control function having a Weil-type derivative of variable order at each point is considered.     

Theoretical study of a Bénard-Marangoni problem

In this paper we prove the existence of strong solutions for the stationary Bénard-Marangoni problem in a finite domain flat on the top, bifurcating from the basic heat conductive state. The Bénard-Marangoni problem is a physical phenomenon of thermal convection in which the effects of buoyancy and surface tension are taken into account. This problem is modelled with a system of partial differential equations of the type Navier-Stokes and heat equation. The boundary conditions include crossed boundary conditions involving tangential derivatives of the temperature and normal derivatives of the velocity field. To define tangential derivatives at the boundary, intended in the trace sense, it is necessary order two derivatives in the interior of the domain and thus the boundary term contains as high derivatives as the interior term. We overcome this difficulty by considering the weak formulation, and transforming the boundary integral into an equivalent integral defined in the whole domain. This allows us to reformulate the weak problem with a temperature having only order one weak derivatives. Concerning regularity results, we obtain strong solutions for the stationary Bénard-Marangoni problem.     

基于模矢搜索和遗传算法的混合约束优化算法

近年,免梯度方法又开始引起大家的注意，由于不需要计算函数的梯度．特别适合用来求解那些无法得到梯度信息或需要花很大计算量才能得到梯度信息的问题．本文构造了一个基于模矢搜索和遗传算法的混合优化算法．在模矢搜索方法的搜索步，用一个类似于遗传算法的方法产生一个有限点集．算法是全局收敛的.