Analysis of the optimal time to withdraw investments from hedge funds with alternative fee structures

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Fei Meng;David Saunders
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引用次数: 0

Abstract

We study the optimal stopping problem arising from an investor determining the best time to withdraw from a hedge fund with a shared loss fee structure and a positive fee for assets under management—a decision that is critically important to the viability of such products in practice. The optimal solution is characterized as the first exit time of the fund value from a bounded region with upper and lower stopping boundaries. In the infinite horizon case, we present the complete solution to the optimal stopping problem, while in the finite horizon case we derive a pair of coupled integral equations for the stopping bounds and present an asymptotic analysis of the stopping boundaries for small time. The analysis requires new mathematical results extending techniques suitable for options with one exercise boundary to the case of a coupled pair of upper and lower boundaries.
从具有不同收费结构的对冲基金中撤出投资的最佳时间分析
我们研究了由投资者决定从对冲基金中撤出的最佳时间所引起的最优停止问题,该对冲基金具有共享损失费用结构和管理资产的正费用-这一决策对此类产品在实践中的可行性至关重要。最优解的特征是基金值从具有上下停止边界的有界区域的首次退出时间。在无限视界情况下,我们给出了最优停止问题的完全解,在有限视界情况下,我们导出了停止边界的一对耦合积分方程,并给出了小时间停止边界的渐近分析。分析需要新的数学结果,将适用于具有一个操作边界的期权的技术扩展到上下边界耦合的情况。
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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