Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020

Motivated by the economic context, the social security reform in Brazil, and the behavior of Brazilian individual investors in the retirement-fund market, this study designs an algorithm to manage a real retirement-fund portfolio. In our model, the theoretical manager of the fund can allocate its r...

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Main Authors: Nicollas Mateus Gomes, Helberte João França Almeida, Rafael Jasper Feltrin, Guilherme de Oliveira
Format: Article
Language:Portuguese
Published: Universidade Federal de Santa Catarina 2024-10-01
Series:Textos de Economia
Subjects:
Online Access:https://periodicos.ufsc.br/index.php/economia/article/view/84889
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author Nicollas Mateus Gomes
Helberte João França Almeida
Rafael Jasper Feltrin
Guilherme de Oliveira
author_facet Nicollas Mateus Gomes
Helberte João França Almeida
Rafael Jasper Feltrin
Guilherme de Oliveira
author_sort Nicollas Mateus Gomes
collection DOAJ
description Motivated by the economic context, the social security reform in Brazil, and the behavior of Brazilian individual investors in the retirement-fund market, this study designs an algorithm to manage a real retirement-fund portfolio. In our model, the theoretical manager of the fund can allocate its resources among four securities belonging to the same financial institution: two fixed income funds; and two private credit funds. Innovatively, the machine learning algorithm optimizes the portfolio allocation using reinforcement learning, which rewards good decisions and punishes bad decisions based on individual and social criteria. The algorithm presented a consistent and stable performance in all the six scenarios of simulation, outperforming the actual portfolio and s random strategy by considerable and significant average returns.
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language Portuguese
publishDate 2024-10-01
publisher Universidade Federal de Santa Catarina
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series Textos de Economia
spelling doaj-art-0f5b37ba044f4f01aad79c1e81b90a882025-08-20T02:51:45ZporUniversidade Federal de Santa CatarinaTextos de Economia0103-60172175-80852024-10-0126210.5007/2175-8085.2023.e84889Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020Nicollas Mateus Gomes0Helberte João França AlmeidaRafael Jasper Feltrin1Guilherme de Oliveira2Universidade Federal de Santa CatarinaUniversidade Federal de Santa CatarinaUniversidade Federal de Santa Catarina Motivated by the economic context, the social security reform in Brazil, and the behavior of Brazilian individual investors in the retirement-fund market, this study designs an algorithm to manage a real retirement-fund portfolio. In our model, the theoretical manager of the fund can allocate its resources among four securities belonging to the same financial institution: two fixed income funds; and two private credit funds. Innovatively, the machine learning algorithm optimizes the portfolio allocation using reinforcement learning, which rewards good decisions and punishes bad decisions based on individual and social criteria. The algorithm presented a consistent and stable performance in all the six scenarios of simulation, outperforming the actual portfolio and s random strategy by considerable and significant average returns. https://periodicos.ufsc.br/index.php/economia/article/view/84889Reinforcement learningSocial securityPortfolio management
spellingShingle Nicollas Mateus Gomes
Helberte João França Almeida
Rafael Jasper Feltrin
Guilherme de Oliveira
Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
Textos de Economia
Reinforcement learning
Social security
Portfolio management
title Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
title_full Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
title_fullStr Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
title_full_unstemmed Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
title_short Does managing a retirement portfolio via rate of return, Sharpe ratio and social interaction generate good returns? An analysis for the years 2017 to 2020
title_sort does managing a retirement portfolio via rate of return sharpe ratio and social interaction generate good returns an analysis for the years 2017 to 2020
topic Reinforcement learning
Social security
Portfolio management
url https://periodicos.ufsc.br/index.php/economia/article/view/84889
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