A dematel-topsis-wings approach to the classification of multimarket investment funds

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Frederico Silva Valentim Sallum
Luiz Flavio Autran Monteiro Gomes
Maria Augusta Soares Machado
صندلی اداری

Abstract

This paper analyzes the performance of 20 multimarket investment funds in the Brazilian market from May/2015 to April/2017 in order to categorize them into 4 performance levels. The cumulative rate and the funds' volatility are calculated in 2 periods among the total periods studied, in order to generate a mutual degree of influence among the funds of each group. Next, the WINGS method is applied. This method splits each group into 2 subgroups, generating the 4 levels of classification. The use of the methodology classified 5 funds in each subgroup. The data analysis compared the obtained classification with the classification established by the cumulative rate of the funds throughout the entire period and presented 4 ways to prioritize the decision for the funds ranked higher. These 4 ways of prioritizing the decision aim at assisting investors with different points of view.

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Author Biographies

Frederico Silva Valentim Sallum, Fuzzy Consultoria LTDA.

Frederico Silva Valentim Sallum is a project consultant in Fuzzy Consultoria, a consulting firm based in Rio de Janeiro. Frederico holds the MSc and the BSc degrees in Business Administration by the Ibmec School of Business and Economics in Rio de Janeiro (Ibmec/RJ), Brazil.

Luiz Flavio Autran Monteiro Gomes, Ibmec/RJ

Luiz Flavio Autran Monteiro Gomes is a full professor of the Ibmec School of Business and Economics in Rio de Janeiro (Ibmec/RJ), Brazil. He received his Doctor of Philosophy in Engineering degree from the University of California, Berkeley. He has taught, served as dissertation and theses advisor as well as done research in multicriteria decision analysis for the last 40 years.

Maria Augusta Soares Machado, Ibmec/RJ

Maria Augusta Soares Machado is an associate professor of the Ibmec School of Business and Economics in Rio de Janeiro (Ibmec/RJ), Brazil. She received her Doctor of Engineering degree from the Pontifical Catholic University of Rio de Janeiro, Brazil. She has taught, served as dissertation advisor and done applied research in decision support modeling for the last 40 years.

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