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

Author

Listed:
  • Juan de Jesus Venegas-Flores

    (Universidad Autonoma de Zacatecas)

  • Marlen Hernandez-Ortiz

    (Universidad Autonoma de Zacatecas)

  • Imelda Ortiz-Medina

    (Universidad Autonoma de Zacatecas)

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.

Suggested Citation

  • Juan de Jesus Venegas-Flores & Marlen Hernandez-Ortiz & Imelda Ortiz-Medina, 2024. "Innovation in Portfolio Optimization through the Use of Genetic Algorithms for Sustainable Entrepreneurship in Volatile Markets," Scientia et PRAXIS, AMIDI Editorial, vol. 4(8), pages 61-89, July-Dece.
    • Handle: RePEc:abs:journl:v:4:y:2024:i:8:p:61-89
    DOI: 10.55965/setp.4.08.uady.a3
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    More about this item

    Keywords

    portfolio optimization; genetic algorithms; decision-making;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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