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

Osterrieder, Jörg Robert; Seigne, Michael (2023). Examining share repurchase executions: insights and synthesis from the existing literature Frontiers in Applied Mathematics and Statistics, 9 Frontiers Research Foundation 10.3389/fams.2023.1265254

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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.

Item Type:	Journal Article (Original Article)
Division/Institute:	Business School > Institute for Applied Data Science & Finance Business School
Name:	Osterrieder, Jörg Robert0000-0003-0189-8636 and Seigne, Michael
Subjects:	H Social Sciences > HG Finance
ISSN:	2297-4687
Publisher:	Frontiers Research Foundation
Funders:	[7] Swiss National Science Foundation ; [UNSPECIFIED] European Cooperation in Science and Technology
Language:	English
Submitter:	Yiting Liu
Date Deposited:	06 Dec 2023 11:18
Last Modified:	06 Dec 2023 11:18
Publisher DOI:	10.3389/fams.2023.1265254
ARBOR DOI:	10.24451/arbor.20561
URI:	https://arbor.bfh.ch/id/eprint/20561