Title: Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market
Abstract: Earning profits when investing in a stock exchange and avoiding losses has always been a priority for every investor. This is the main reason why the portfolio selection problem has been of great importance to obtain reasonable compensation between the rate of return and the risk. However, the portfolio problem has been extended by introducing real-world constraints, such as cardinality restriction to limit the number of portfolio assets and quantity constraints to limit the proportion of each portfolio asset within the inferior and superior limits. In this work, nine state-of-the-art multiobjective algorithms were used to solve an instance of the portfolio selection problem for the Mexican Stock Exchange. A comparative experimental study of the efficient frontiers obtained and the behavior of these algorithms when solving the problem instance is reported. Two statistical hypothesis tests were used to support the conclusions in the analysis of the experimental results.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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