Innovation in Portfolio Optimization through the Use of Genetic Algorithms for Sustainable Entrepreneurship in Volatile Markets

Juan de Jesus Venegas-Flores (), Marlen Hernandez-Ortiz () and Imelda Ortiz-Medina ()
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Juan de Jesus Venegas-Flores: Universidad Autonoma de Zacatecas
Marlen Hernandez-Ortiz: Universidad Autonoma de Zacatecas
Imelda Ortiz-Medina: Universidad Autonoma de Zacatecas

Scientia et PRAXIS, 2024, vol. 4, issue 8, 61-89

Abstract: This article analyzes the application of genetic algorithms in portfolio optimization with a focus on sustainable entrepreneurship in volatile markets. The authors explore how algorithmic strategies improve investment decisions, reduce risk, and foster economic resilience. The findings highlight the potential of genetic algorithms to support innovation in financial decision-making within unpredictable business environments.

Keywords: portfolio optimization; genetic algorithms; decision-making (search for similar items in EconPapers)
JEL-codes: C61 G11 O31 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abs:journl:v:4:y:2024:i:8:p:61-89

DOI: 10.55965/setp.4.08.uady.a3

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