有保证权益连结寿险合约的定价

本文在考虑买卖标的股票需支付比例交易成本的条件下,根据效用最大化原理,将效用无差别定价方法应用到有保证权益连结寿险合约的定价上,给出了合约保留卖价的表达式,并做了数值模拟,计算结果表明本文的方法是合理的.     

不可交易资产的平方套期保值问题

提出并解决了不可交易资产的套期保值问题.基于金融实际构建了不可交易资产套期保值模型,在风险资产价格服从跳扩散模型的假设下提出了三个平方套期保值问题.借助于一个辅助过程和Hilbert空间投影定理,利用市场可观测量以后向形式给出了平方套期保值标准下的最优策略.最后通过Monte Carlo方法验证了套期保值策略的有效性.     

套期保值者策略性交易和市场多重均衡

金融市场中,投资者为规避风险经常采取套期保值策略,降低因资产价值波动带来的风险.从金融市场微观结构理论出发,通过分析知情交易者交易策略和做市商定价策略对套期保值者交易的影响,构建了套期保值者策略交易模型.从模型和数值分析得出,套期保值者的策略性交易使市场具有产生多重均衡的可能:一种为套期保值者数量多,流动性高的均衡;另一种为套期保值者数量少,流动性低的均衡.其形成过程为套期保值者进入(退出)市场会引起其他套期保值者进入(退出)市场,形成预期自我实现现象,导致不同流动性下的均衡.     

带交易费的未定权益有偏好套期保值定价

本文首先引进了正常化市场和有偏好套期保值概念，给出了有偏好系数的未定权益套期保值定价．由此进一步给出未定权益的卖方价和买方价，以及未定权益的定价区间．     

二项分布模型系数的确定及其应用

在(B-S)市场的二项模型中,由鞅论和概率论相关知识给出当未定权益f=f(SN)时公平定价和套期保值策略的公式,并对一组股票价格的历史数据进行分析,建立相应的模型,得到该期权的公平定价及其最优套期保值策略.     

组合投资β调整与效用最大化的套期比的选择

为了针对市场风险对风险资产的组合投资进行套期保值，一般认为要选择将组合投资多头和期货合同空头结合起来的头寸方差最小化的套期保值比率，也就是要选择使某一特定函数的期望效用最大化的套期保值比率。但是本认为，由于种种原因，人们更倾向于选择对简单风险最小头寸的套期保值比率。     

风险规避和最优套期保值比率

在一般的期望效用框架下,研究投资者的风险厌恶态度对于其套期保值策略的影响.首先,给出了投资者采用不同套期保值策略时,效用函数应该满足的条件;其次,讨论了期望效用框架下,Rubinstein整体风险厌恶度量与经典的Arrow Pratt局部风险厌恶度量和更强的Ross的风险度量之间的关系,提出了一组条件,使得在该组条件下,风险厌恶的人际间比较可以用Rubinstein整体风险厌恶度量来刻画;最后,在现货和期货服从正态分布的假设下,使用之前提出的条件,研究投资者风险厌恶程度对于其持有的最优套期保值比率的影响.     

基于APT的证券组合套期保值策略研究

为了解决含有非股票证券的一般证券组合的套期保值问题,依据套利定价理论,提出了一般证券组合的套期保值策略,并对该策略进行了分析研究。     

非系统风险与公司最优资本结构

公司经常面临巨大的非系统风险,而现行的资本结构理论很少涉及非系统风险对融资决策的影响.由此,基于效用无差别定价原理,运用随机控制和最优停时理论,研究由股权资本持有人决定违约时间的股权价值和债权价值,分析最优资本结构,计算最优破产策略.结果表明:适当的股权和债权的融资组合可以分散公司非系统风险,而对于谨慎型投资者,债权分散公司风险的作用减弱;投资者的风险态度对破产选择、股权价值有显著影响,对债权价值影响较小;通过实证估计绝对风险厌恶系数是一个可行的计量方法.     

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。     

Convergence results for the indifference value based on the stability of BSDEs

We study the exponential utility indifference value h for a contingent claim H in an incomplete market driven by two Brownian motions. The claim H depends on a non-tradable asset variably correlated with the traded asset available for hedging. We provide an explicit sequence that converges to h, complementing the structural results for h known from the literature. Our study is based on a convergence result for quadratic backward stochastic differential equations. This convergence result, which we prove in a general continuous filtration under weak conditions, also yields that the indifference value in a setting with trading constraints enjoys a continuity property in the constraints.     

Utility-based indifference pricing in regime-switching models

In this paper, we study utility-based indifference pricing and hedging of a contingent claim in a continuous-time, Markov, regime-switching model. The market in this model is incomplete, so there is more than one price kernel. We specify the parametric form of price kernels so that both market risk and economic risk are taken into account. The pricing and hedging problem is formulated as a stochastic optimal control problem and is discussed using the dynamic programming approach. A verification theorem for the Hamilton-Jacobi-Bellman (HJB) solution to the problem is given. An issuer’s price kernel is obtained from a solution of a system of linear programming problems and an optimal hedged portfolio is determined.     

Utility Indifference Pricing: A Time Consistent Approach

Abstract

This article considers the optimal portfolio selection problem in a dynamic multi-period stochastic framework with regime switching. The risk preferences are of exponential (CARA) type with an absolute coefficient of risk aversion that changes with the regime. The market model is incomplete and there are two risky assets: tradable and non-tradable. In this context, the optimal investment strategies are time inconsistent. Consequently, the subgame perfect equilibrium strategies are considered. The utility indifference ask price of a contingent claim written on the risky assets is computed through an indifference valuation algorithm. By running numerical experiments, we examine how this price varies in response to changes in model parameters.     

Utility indifference pricing and hedging for structured contracts in energy markets

In this paper we study the pricing and hedging of structured products in energy markets, such as swing and virtual gas storage, using the exponential utility indifference pricing approach in a general incomplete multivariate market model driven by finitely many stochastic factors. The buyer of such contracts is allowed to trade in the forward market in order to hedge the risk of his position. We fully characterize the buyer’s utility indifference price of a given product in terms of continuous viscosity solutions of suitable nonlinear PDEs. This gives a way to identify reasonable candidates for the optimal exercise strategy for the structured product as well as for the corresponding hedging strategy. Moreover, in a model with two correlated assets, one traded and one nontraded, we obtain a representation of the price as the value function of an auxiliary simpler optimization problem under a risk neutral probability, that can be viewed as a perturbation of the minimal entropy martingale measure. Finally, numerical results are provided.     

On dynamic programming equations for utility indifference pricing under delta constraints

In this paper we study the problem of utility indifference pricing in a constrained financial market, using a utility function defined over the positive real line. We present a convex risk measure −v(•:y) satisfying q(x,F)=x+v(F:u₀(x)), where u₀(x) is the maximal expected utility of a small investor with the initial wealth x, and q(x,F) is a utility indifference buy price for a European contingent claim with a discounted payoff F. We provide a dynamic programming equation associated with the risk measure (−v), and characterize v as a viscosity solution of this equation.     

Convergence of Utility Indifference Prices to the Superreplication Price

A discrete-time financial market model is considered with a sequence of investors whose preferences are described by concave strictly increasing functions defined on the positive axis. Under suitable conditions, we show that the utility indifference prices of a bounded contingent claim converge to its superreplication price when the investors’ absolute risk-aversion tends to infinity.     

基于均值和CVaR的效用最大化模型研究

本文利用CVaR方法代替方差或VaR来度量风险,建立了关于期望和CVaR的效用最大化模型,研究了n种风险资产的投资决策问题。在效用函数是凹的假设下,首先得到了无差异曲线的特征及均值-CVaR模型有效边界的性质,然后利用这些结论得到了效用最大值存在的条件及其最优解的性质特征,给出了求解的具体步骤和算法,并分析了最大效用点的经济含义.最后,一个基于中国股票市场真实数据的数值算例说明了本文的结论及应用。     

Convergence of Utility Indifference Prices to the Superreplication Price: the Whole Real Line Case

A discrete-time financial market model is considered with a sequence of investors whose preferences are described by concave strictly increasing functions defined on the whole real line. Under suitable conditions we prove that, whenever their absolute risk-aversion tends to infinity, the respective utility indifference prices of a given bounded contingent claim converge to the superreplication price. We also prove that there exists an accumulation point of the optimal strategies’ sequence which is a superhedging strategy.     

Pricing and hedging equity-linked life insurance contracts beyond the classical paradigm: The principle of equivalent forward preferences

By applying the principle of equivalent forward preferences, this paper revisits the pricing and hedging problems for equity-linked life insurance contracts. The equity-linked contingent claim depends on, not only the future lifetime of the policyholder, but also the performance of the reference portfolio in the financial market for the segregated account of the policyholder. For both zero volatility and non-zero volatility forward utility preferences, prices and hedging strategies of the contract are represented by solutions of random horizon backward stochastic differential equations. Numerical illustration is provided for the zero volatility case. The derived prices and hedging strategies are also compared with classical results in the literature.