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建立了Cox-Ingersoll-Ross随机利率下的关于两个投资者的投资组合效用微分博弈模型.市场利率具有CIR动力,博弈双方存在唯一的损益函数,损益函数取决于投资者的投资组合财富.一方选择动态投资组合策略以最大化损益函数,而另一方则最小化损益函数.运用随机控制理论,在一般的效用函数下得到了基于效用的博弈双方的最优策略.特别考虑了常数相对风险厌恶情形,获得了显示的最优投资组合策略和博弈值.最后给出了数值例子和仿真结果以说明本文的结论. 相似文献
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本文研究基于随机基准的最优投资组合选择问题. 假设投资者可以投资于一种无风险资产和一种风险股票,并且选择某一基准作为目标. 基准是随机的, 并且与风险股票相关.
投资者选择最优的投资组合策略使得终端期望绝对财富和基于基准的相对财富效用最大.
首先, 利用动态规划原理建立相应的HJB方程, 并在幂效用函数下,得到最优投资组合策略和值函数的显示表达式. 然后,分析相对业绩对投资者最优投资组合策略和值函数的影响. 最后, 通过数值计算给出了最优投资组合策略和效用损益与模型主要参数之间的关系. 相似文献
3.
建立了Cox-Ingersoll—Ross随机利率下的关于两个投资者的投资组合效用微分博弈模型.市场利率具有CIR动力,博弈双方存在唯一的损益函数,损益函数取决于投资者的投资组合财富.一方选择动态投资组合策略以最大化损益函数,而另一方则最小化损益函数.运用随机控制理论,在一般的效用函数下得到了基于效用的博弈双方的最优策略.特别考虑了常数相对风险厌恶情形,获得了显示的最优投资组合策略和博弈值.最后给出了数值例子和仿真结果以说明本文的结论. 相似文献
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在假定市场系数为随机过程并且股票价格服从跳跃扩散过程的市场条件下应用鞅方法讨论一个M-V模型的最优投资组合选择问题.通过引进凹函数U(x)以及等价鞅测度,应用鞅方法以及贝叶斯定理得到了最优投资策略以及有效边界表达式. 相似文献
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利用破产理论和随机控制理论研究保险基金最优投资策略,建立生存概率最大化的目标函数,得到最优投资策略满足的随机微分方程;在初始金逼近0时得到保险基金的最优投资策略的显示解;采用递推算法,得到初始准备金为任意值时的最优投资策略. 相似文献
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本文研究具有随机保费和交易费用的最优投资和再保险策略选择问题.保险公司的盈余通过跳-扩散过程来模拟,假设保费收入是随机的.我们的研究目标是寻找一个最优再保险和投资策略,最大化投资终止时刻财富的期望效用.应用随机控制理论,我们得到最优投资-再保险策略和值函数的显式解.通过数值计算,我们给出模型参数对最优策略的影响.结果揭示了一些令人感兴趣的现象,它们可以对实际中的再保险和投资予以指导. 相似文献
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在模型不确定条件下,研究以破产概率最小化为目标的模糊厌恶型保险公司的最优投资再保险问题. 假设保险公司可投资于一种风险资产,也可购买比例再保险. 分别考虑风险资产的价格过程服从随机波动率模型和非随机波动率模型的两种情况,根据动态规划原理建立相应的HJB方程,得到保险公司的最优鲁棒投资再保险策略和价值函数的解析解. 最后,通过数值模拟分析了各模型参数对最优策略和价值函数的影响. 相似文献
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现实的金融市场上,当有重大信息出现时,会对股价产生冲击,使得股价产生跳跃,同时投资过程会有随机资金流的介入,考虑股价出现跳跃与随机资金流介入的投资组合优化问题,通过构造倒向-前向随机微分方程并结合随机最优控制理论研究了一般效用函数下的投资组合选择问题,获得最优投资组合策略,然后针对二次效用函数,给出显式表示的最优投资组合策略. 相似文献
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We formulate a stochastic extension of the Nerlove and Arrow’s advertising model in order to analyze the problem of a new
product introduction. The main idea is to introduce some uncertainty aspects in connection both with the advertising action
and the goodwill decay, in order to represent the random consequences of the advertising messages and of the word-of-mouth
publicity, respectively. The model is stated in terms of the stochastic optimal control theory and a general study is attempted
using the stochastic Maximum Principle.
Closed form solutions are obtained under linear quadratic assumptions for the cost and the reward functions. Such optimal
policies suggest that the decision-maker considers both the above mentioned phenomena as opportunities to increase her/his
final reward. After stating some general features of the optimal solutions, we analyze in detail three extreme cases, namely
the deterministic model and the stochastic models with either the word-of-mouth effect only, or the lure/repulsion effect
only. The optimal policies provide us with some insight on the general effects of the advertising action.
Supported by MIUR and University of Padua. 相似文献
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Convergence Properties of Two-Stage Stochastic Programming 总被引:6,自引:0,他引:6
This paper considers a procedure of two-stage stochastic programming in which the performance function to be optimized is replaced by its empirical mean. This procedure converts a stochastic optimization problem into a deterministic one for which many methods are available. Another strength of the method is that there is essentially no requirement on the distribution of the random variables involved. Exponential convergence for the probability of deviation of the empirical optimum from the true optimum is established using large deviation techniques. Explicit bounds on the convergence rates are obtained for the case of quadratic performance functions. Finally, numerical results are presented for the famous news vendor problem, which lends experimental evidence supporting exponential convergence. 相似文献
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在连续时间模型假设下,研究风险资产价格服从一个带有随机波动的几何布朗运动的最优消费和投资问题.首先建立了最优消费和投资同题随机最优控制数学模型;然后运用随机最优控制理论,得到了最优投资和消费随机最优控制问题的值函数所满足的线性抛物线偏微分方程和非线性抛物线偏微分方程. 相似文献
14.
Raymond K. Cheung Dongsheng Xu Yongpei Guan 《Journal of Mathematical Modelling and Algorithms》2007,6(1):87-107
We study a vehicle routing problem in which vehicles are dispatched multiple times a day for product delivery. In this problem,
some customer orders are known in advance while others are uncertain but are progressively realized during the day. The key
decisions include determining which known orders should be delivered in the first dispatch and which should be delivered in
a later dispatch, and finding the routes and schedules for customer orders. This problem is formulated as a two-stage stochastic
programming problem with the objective of minimizing the expected total cost. A worst-case analysis is performed to evaluate
the potential benefit of the stochastic approach against a deterministic approach. Furthermore, a sample-based heuristic is
proposed. Computational experiments are conducted to assess the effectiveness of the model and the heuristic.
相似文献
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《Operations Research Letters》2020,48(2):130-135
We consider the utility-based portfolio selection problem in a continuous-time setting. We assume the market price of risk depends on a stochastic factor that satisfies an affine-form, square-root, Markovian model. This financial market framework includes the classical geometric Brownian motion, CEV model, and Heston’s model as special cases. Adopting the BSDE approach, we obtain closed-form solutions for the optimal portfolio strategies and value functions for the logarithmic, power, and exponential utility functions. 相似文献
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In this article, we consider a portfolio optimization problem of the Merton’s type with complete memory over a finite time horizon. The problem is formulated as a stochastic control problem on a finite time horizon and the state evolves according to a process governed by a stochastic process with memory. The goal is to choose investment and consumption controls such that the total expected discounted utility is maximized. Under certain conditions, we derive the explicit solutions for the associated Hamilton–Jacobi–Bellman (HJB) equations in a finite-dimensional space for exponential, logarithmic, and power utility functions. For those utility functions, verification results are established to ensure that the solutions are equal to the value functions, and the optimal controls are also derived. 相似文献
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《Stochastic Processes and their Applications》2019,129(9):3174-3206
A class of singular stochastic control problems whose value functions satisfy an invariance property was studied by Lasry and Lions (2000). They have shown that, within this class, any singular control problem is equivalent to the corresponding standard stochastic control problem. The equivalence is in the sense that their value functions are equal. In this work, we clarify their idea and extend their work to allow Lévy type noise. In addition, for the purpose of application, we apply our result to an optimal trade execution problem studied by Lasry and Lions (2007). 相似文献
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