Examining share repurchase executions: insights and synthesis from the existing literature

IF 1.3 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Frontiers in Applied Mathematics and Statistics Pub Date : 2023-11-08 DOI:10.3389/fams.2023.1265254
Joerg Osterrieder, Michael Seigne
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Abstract

This literature review aims to address the critical knowledge gap in the field of share repurchase executions, a financial activity involving companies repurchasing trillions of dollars' worth of their own shares. The significance of understanding these mechanisms and their impact is underscored by their potential influence on the global economy. The paper employs a comprehensive analysis of existing literature, focusing on share repurchase mechanisms and motivations. It scrutinizes both open-market repurchases and Accelerated Share Repurchase contracts. Methodological approaches in current research, such as the use of partial differential equations and tree methods, are also evaluated. The review reveals that the execution phase of share repurchases remains largely unexplored. Unanswered questions persist about trading schedules, implications, costs, broker and corporate performance, and psychological effects of beating a buyback benchmark. Additionally, the review identifies significant limitations in current research methodologies. The paper advocates for the application and development of more advanced tools like machine learning and artificial intelligence to address these gaps. It also suggests potential areas for future research, including the role of technology in share repurchase execution, psychological factors influencing corporate buybacks, and the development of performance metrics for brokers and corporations. The review serves not only to highlight existing gaps in literature but also to suggest avenues for future research that could fundamentally enhance our understanding of share repurchase executions. JEL classification G1, G12, G14, G02, G4.
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审查股票回购执行:从现有文献的见解和综合
本文献综述旨在解决股票回购执行领域的关键知识缺口,股票回购执行是一项涉及公司回购价值数万亿美元的股票的金融活动。这些机制对全球经济的潜在影响凸显了理解这些机制及其影响的重要性。本文对现有文献进行了综合分析,重点研究了股票回购的机制和动机。它审查公开市场回购和加速股票回购合同。方法学方法在当前的研究,如使用偏微分方程和树的方法,也进行了评估。审查显示,股票回购的执行阶段在很大程度上仍未得到探索。有关交易时间表、影响、成本、经纪商和公司业绩,以及超过回购基准的心理影响等尚未解决的问题依然存在。此外,该综述还指出了当前研究方法的重大局限性。这篇论文提倡应用和开发更先进的工具,如机器学习和人工智能,以解决这些差距。本文还提出了未来研究的潜在领域,包括技术在股票回购执行中的作用,影响公司回购的心理因素,以及经纪人和公司绩效指标的发展。这篇综述不仅突出了文献中存在的差距,而且为未来的研究提供了途径,这些研究可以从根本上增强我们对股票回购执行的理解。JEL分类G1、G12、G14、G02、G4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Applied Mathematics and Statistics
Frontiers in Applied Mathematics and Statistics Mathematics-Statistics and Probability
CiteScore
1.90
自引率
7.10%
发文量
117
审稿时长
14 weeks
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