Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality

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 Guéant...

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Detalles Bibliográficos
Autor principal: Osterrieder, Joerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655076/
https://www.ncbi.nlm.nih.gov/pubmed/38028665
http://dx.doi.org/10.3389/frai.2023.1276804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655076/
https://www.ncbi.nlm.nih.gov/pubmed/38028665
http://dx.doi.org/10.3389/frai.2023.1276804

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