Generation and design of tools for the analysis of artificial and real portfolio returns

Authors

  • Diego Nicolas Gimenez Irusta Universidad Nacional de Córdoba, Argentina
  • Nadia Ayelen Luczywo Universidad Nacional de Córdoba, Universidad de la Defensa Nacional, Argentina
  • Juan Bautista Cabral Universidad Nacional de Córdoba, Comisión Nacional de Actividades Espaciales, Argentina
  • Mariana Funes Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina

Keywords:

finance, portfolio optimization, market simulation

Abstract

The optimization and simulation of financial portfolios have been widely studied in finance, although usually separately. Therefore, we developed a tool that integrates both areas in one place, allowing the generation of portfolios based on different distributions or historical prices, as well as their optimization through various mean-variance models. In addition, the tool follows design and development standards, incorporating code testing and style verification to ensure its quality. We conclude with a summary from a critical point of view on what has been created, where we highlight aspects that could be worked on in the future, mentioning possible useful integrations on the tool.

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Published

2025-10-21

Issue

Section

Original papers

How to Cite

Gimenez Irusta, D. N., Luczywo, N. A., Cabral, J. B., & Funes, M. (2025). Generation and design of tools for the analysis of artificial and real portfolio returns. JAIIO, Jornadas Argentinas De Informática, 11(5), 1-14. https://revistas.unlp.edu.ar/JAIIO/article/view/19855