对近十年来指数跟踪问题的解决方法进行了系统的文献综述

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Julio Cezar Soares Silva, Adiel Almeida Filho
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引用次数: 2

摘要

被动管理方法为保守投资者提供了一种降低市场风险的方法。这种投资策略旨在复制特定指数,如纳斯达克综合指数或FTSE100指数。问题在于,购买该指数的所有资产会带来高昂的再平衡成本,而这会损害未来的回报。指数跟踪问题涉及以更少的交易成本建立一个遵循特定基准的投资组合。由于需要一个资产子集来解决指数问题,这类问题是np困难的,在过去的几年里,研究人员一直在研究求解方法,以获得更实用的跟踪投资组合。这项工作带来了一个分析,跨越过去三十年,数学方法的进步指数跟踪。系统的文献综述涵盖了最相关的研究领域、解决方法和模型结构等重要问题。重点探讨和分析了应用于指数跟踪问题的元启发式方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic literature review on solution approaches for the index tracking problem in the last decade
The passive management approach offers conservative investors a way to reduce risk concerning the market. This investment strategy aims at replicating a specific index, such as the NASDAQ Composite or the FTSE100 index. The problem is that buying all the index’s assets incurs high rebalancing costs, and this harms future returns. The index tracking problem concerns building a portfolio that follows a specific benchmark with fewer transaction costs. Since a subset of assets is required to solve the index problem this class of problems is NP-hard, and in the past years, researchers have been studying solution approaches to obtain more practical tracking portfolios. This work brings an analysis, spanning the last three decades, of the advances in mathematical approaches for index tracking. The systematic literature review covered important issues, such as the most relevant research areas, solution methods, and model structures. Special attention was given to the exploration and analysis of metaheuristics applied to the index tracking problem.
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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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