{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T16:31:09Z","timestamp":1753893069630,"version":"3.41.2"},"reference-count":16,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T00:00:00Z","timestamp":1698969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["IZCNZ0-174853","IZCOZ0-213370","IZSEZ0-211195"],"award-info":[{"award-number":["IZCNZ0-174853","IZCOZ0-213370","IZSEZ0-211195"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000921","name":"European Cooperation in Science and Technology","doi-asserted-by":"publisher","award":["CA19130","CA21163"],"award-info":[{"award-number":["CA19130","CA21163"]}],"id":[{"id":"10.13039\/501100000921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018694","name":"HORIZON EUROPE Marie Sklodowska-Curie Actions","doi-asserted-by":"publisher","award":["101119635"],"award-info":[{"award-number":["101119635"]}],"id":[{"id":"10.13039\/100018694","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>This article exclusively formulates and presents three innovative hypotheses related to the execution of share buybacks, employing Genetic Algorithms (GAs) and mathematical optimization techniques. Drawing on the foundational contributions of scholars such as Osterrieder, Seigne, Masters, and Gu\u00e9ant, we articulate hypotheses that aim to bring a fresh perspective to share buyback strategies. The first hypothesis examines the potential of GAs to mimic trading schedules, the second posits the optimization of buyback execution as a mathematical problem, and the third underlines the role of optionality in improving performance. These hypotheses do not only offer theoretical insights but also set the stage for empirical examination and practical application, contributing to broader financial innovation. The article does not contain new data or extensive reviews but focuses purely on presenting these original, untested hypotheses, sparking intrigue for future research and exploration.<\/jats:p><jats:sec><jats:title>JEL Classification<\/jats:title><jats:p>G00.<\/jats:p><\/jats:sec>","DOI":"10.3389\/frai.2023.1276804","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T10:06:52Z","timestamp":1699006012000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality"],"prefix":"10.3389","volume":"6","author":[{"given":"Joerg","family":"Osterrieder","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,11,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/135048602100056","article-title":"Optimal execution with nonlinear impact functions and trading-enhanced risk","volume":"10","author":"Almgren","year":"2003","journal-title":"Appl. Mathematic. Financ."},{"key":"B2","doi-asserted-by":"publisher","first-page":"77","DOI":"10.21314\/JOR.2017.361","article-title":"Optimal execution of accelerated share repurchase contracts with fixed notional","volume":"19","author":"Gu\u00e9ant","year":"2017","journal-title":"J. Risk"},{"key":"B3","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1142\/S0219024915500193","article-title":"Accelerated share repurchase: pricing and execution strategy","volume":"18","author":"Gu\u00e9ant","year":"2015","journal-title":"Int. J. Theor. Appl. Financ."},{"key":"B4","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1080\/14697688.2020.1729397","article-title":"Accelerated share repurchase and other buyback programs: what neural networks can bring","volume":"20","author":"Gu\u00e9ant","year":"2020","journal-title":"Q. Financ."},{"key":"B5","unstructured":"MastersB.\n          If Companies are Go ing to Buy Back Shares, They Should Pay a Fair Price. Financial Times2023"},{"key":"B6","doi-asserted-by":"crossref","unstructured":"OsterriederJ.\n          Share Buybacks: A Theoretical Exploration of Genetic Algorithms and Mathematical Optionality [SSRN Scholarly Paper]. Rochester, NY2023","DOI":"10.2139\/ssrn.4539768"},{"key":"B7","unstructured":"OsterriederJ.\n            SeigneM.\n          Examining Share Repurchase Executions: Insights and Synthesis from the Existing Literature [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B8","unstructured":"OsterriederJ.\n            SeigneM.\n          A Free Lunch for Share Buybacks [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B9","unstructured":"OsterriederJ.\n            SeigneM.\n          A Free Lunch Hypothesis for Share Buybacks [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B10","unstructured":"OsterriederJ.\n            SeigneM.\n          The Mysteries of Share Buyback Execution: Trading Anomalies, Benchmarks, and Psychological Misconceptions [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B11","unstructured":"OsterriederJ.\n            SeigneM.\n          Navigating Share Buyback Programs: A Genetic Algorithm Approach to Outperform the Buyback Benchmark [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B12","unstructured":"OsterriederJ.\n            SeigneM.\n          Rethinking Share Buyback Execution: Insights into Temporal Optionality and Empirical Anomalies [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B13","unstructured":"OsterriederJ.\n            SeigneM.\n          Temporal Optionality in Share Buyback Execution: An Empirical Anomaly and Value Optimization Approach [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B14","unstructured":"OsterriederJ.\n            SeigneM.\n          Unraveling Market Mysteries: A Comprehensive Review of Fi-nancial Anomalies and Puzzles [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B15","unstructured":"SeigneM.\n            OsterriederJ.\n          The Great Deception: A Comprehensive Study of Execution Strategies in Corporate Share Buy-Backs [SSRN Scholarly Paper]. Rochester, NY"},{"key":"B16","unstructured":"SeigneM.\n            OsterriederJ.\n          The Hidden Impact of the SEC's Share Repurchasing Disclosure Modernization on Corporate Governance [SSRN Scholarly Paper]. Rochester, NY"}],"container-title":["Frontiers in Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1276804\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T10:06:57Z","timestamp":1699006017000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2023.1276804\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,3]]},"references-count":16,"alternative-id":["10.3389\/frai.2023.1276804"],"URL":"https:\/\/doi.org\/10.3389\/frai.2023.1276804","relation":{},"ISSN":["2624-8212"],"issn-type":[{"type":"electronic","value":"2624-8212"}],"subject":[],"published":{"date-parts":[[2023,11,3]]},"article-number":"1276804"}}