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Continuous Mean - Variance Portfolio Problem Is Studied with Time Delay Using Stochastic LQ Control Theory

机译:基于随机LQ控制理论的时滞连续均方差资产组合问题研究。

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The mean - variance portfolio selection model based on the expectation and variance of return on assets to measure the expected return and risk of investment. Due to the financial sector complicated variety of events, each financial problems from changes to know its essence, the change rule, from the change of strategy to formulate relevant policy and policy into effect, etc, the process inevitably has a certain lag. Therefore, in order to better reflect the actual situation, we study the portfolio model with delays in this paper. By joining our delay control item, the optimization model was established, the goal is to maximize earnings expectations. In this paper, it studies the continuous time without delay the mean - variance portfolio problems on the basis of existing research. It established auxiliary problem using the stochastic linear quadratic optimal control theory. Using the maximum principle, the solution of the optimal investment strategy are given and it analysis the case, the conclusion is in conformity with the actual. It studies the existing time delay portfolio strategy problem in discrete time case. Based on the stochastic LQ optimal control theory, it established the discrete mean - variance time model with time delay. The paper has carried on the solution and example analysis. And according to the maximum principle, the optimal control model of the general form of the input delay stochastic LQ problem are obtained. The final result shows that when the delay is zero, the results is the same as the model without time delay.
机译:基于资产收益率的期望值和方差的均值-方差投资组合选择模型,用于衡量预期收益和投资风险。由于金融部门各种事件的复杂性,每个金融问题从变化到了解其本质,变化规律,从策略变化到制定相关政策和政策生效等等,其过程必然存在一定的滞后性。因此,为了更好地反映实际情况,本文研究了时滞投资组合模型。通过加入我们的延迟控制项,建立了优化模型,目标是使收益期望最大化。本文在现有研究的基础上研究了连续时间无延迟的均值-方差投资组合问题。利用随机线性二次最优控制理论建立了辅助问题。运用最大原理,给出了最优投资策略的解决方案,并对案例进行了分析,结论与实际相符。研究离散时间情况下现有的时滞投资组合策略问题。基于随机LQ最优控制理论,建立了具有时滞的离散均值-方差时间模型。本文进行了解决方案和实例分析。并根据最大原理,得到了输入时滞随机LQ问题一般形式的最优控制模型。最终结果表明,当延迟为零时,结果与没有时间延迟的模型相同。

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