Impulse control of a diffusion with a change point

L. Abbas-Turki, I. Karatzas, Qinghua Li
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引用次数: 2

Abstract

This paper solves a Bayes sequential impulse control problem for a diffusion, whose drift has an unobservable parameter with a change point. The partially observed problem is reformulated into one with full observations, via a change of probability measure which removes the drift. The optimal impulse controls can be expressed in terms of the solutions and the current values of a Markov process adapted to the observation filtration. We shall illustrate the application of our results using the Longstaff–Schwartz algorithm for multiple optimal stopping times in a geometric Brownian motion stock price model with drift uncertainty.
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具有变点扩散的脉冲控制
本文解决了一类漂移具有不可观测参数和变化点的扩散的贝叶斯序列脉冲控制问题。部分观测到的问题被重新表述为一个具有完整观测的问题,通过改变概率测量来消除漂移。最优脉冲控制可以用适应观测滤波的马尔可夫过程的解和电流值来表示。我们将用Longstaff-Schwartz算法说明我们的结果在具有漂移不确定性的几何布朗运动股票价格模型中的多个最优停止时间的应用。
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
42
审稿时长
>12 weeks
期刊介绍: Stochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects. Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly. In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.
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