Who is the winner between football and financial performance?

  • Anderson Ribeiro Duarte Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Departamento de Estatística, Ouro Preto-MG, Brasil.
  • Josino José Babrbosa Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Departamento de Estatística, Ouro Preto-MG, Brasil.
  • Helgem de Souza Ribeiro Martins Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Departamento de Estatística, Ouro Preto-MG, Brasil.
  • Gabriel Vieira de Amorim Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Departamento de Estatística, Ouro Preto-MG, Brasil.
Keywords: Football, Financial performance, Sports performance, Multivariate outliers

Abstract

Nowadays, larger financial values are involved in high-performance sports. Particularly in football, the values are astonishing. Given this context, an impactful question arises, who wins the sports competitions? Is the performance purely sports? Or is it financial performance? Terms like financial doping, and marketing of goal, among others, appear around the world. Allied with this, everyone tries to see the sport as competition only between athletes, but increasingly the financial departments of teams play a decisive role in championships. Statistical tools can be of great help in trying to elucidate this quandary. This investigation seeks to meet this objective through techniques associated with outliers values. The outlier values are usually distinctive elements in the datasets, values that are excessively extreme in terms of the order of magnitude of the variables under study. The procedures for detecting outliers values are already quite widespread, but studies for multivariate outliers values are not yet fully established. Innovative techniques for this purpose are presented in the literature, in particular, the Data-driven Cluster Analysis Method (DDCAM). This present study uses this methodology to investigate the strong association between financial performance and sports results in high-performance Brazilian football.

References

-Aggarwal, C. C. editor. Outlier Analysis. New York. Springer International Publishing. 2017. p. 422.

-Barbosa, J.J.; Duarte, A.R.; Martins, H.S.R. A Performance Evaluation in Multivariate Outliers Identification Methods. Ciência & Natura. Vol. 42. Num. e16. 2020. p. 1-14.

-Barbosa, J.J.; Pereira, T.M.; Oliveira, F.L.P. Uma proposta para identificação de outliers multivariados. Ciência & Natura. Vol. 40. Num. E40. 2018. p. 1-8.

-Breunig, M.M.; Kriegel, H.P.; Ng, R.T.; Sander, J. LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD international conference on Management of data. 2000. p. 93-104.

-Daniel, P. 8o Valor das marcas dos clubes brasileiros: finanças dos clubes. In: BDO RCS Auditores Independentes. São Paulo. 2015.

-Dantas, M.G.S.; Silva, J.A.; Boente, D.R. Detection of outliers: The financial performance of sport club corinthians paulista between 2008 and 2010. Revista Ambiente Contabil. Vol. 3. Num. 2. 2011. p. 17.

-Duarte, A.R.; Babosa, J.J.; Martins, H.S.R; Oliveira, F.L.P. Data-driven cluster analysis method: a novel outliers detection method in multivariate data. (Under review). 2022.

-Duarte A.R.; Martins, H.S.R.; Silva, B.F. Correção de empates para modelagem dinâmica de partidas de Futebol. Revista Brasileira de Futsal e Futebol. São Paulo. Vol. 10. Num. 41. 2018. p. 774-784.

-Ferreira, H.L.; Marques, J.A.V.C.; Macedo, M.A.S. Desempenho econômico-financeiro e desempenho esportivo: uma análise com clubes de futebol do Brasil. Contextus - Revista Contemporânea de Economia e Gestão. Vol. 16. Num. 3. 2018. p. 124-150.

-Lejeune, C.; Mothe, J.; Soubki, A.; Teste, O. Shape-based outlier detection in multivariate functional data. Knowledge-Based Systems. Vol. 198. 2020. p. 105960.

-Nascimento, C.L.D.; Dantas, M.G.S.; Azevedo, Y.G.P. A Influência dos Fatores Financeiros e Esportivos Sobre o Valor dos Clubes de Futebol Brasileiros. Revista Evidenciação Contábil & Finanças. Vol. 7. Num. 1. 2019. p. 94-111.

-Wahid, A.; Rao, A.C.S. A distance-based outlier detection using particle swarm optimization technique. In: Information and Communication Technology for Competitive Strategies. Springer Singapore. 2019.

Published
2023-02-26
How to Cite
Duarte, A. R., Babrbosa, J. J., Martins, H. de S. R., & Amorim, G. V. de. (2023). Who is the winner between football and financial performance?. RBFF - Brazilian Journal of Futsal and Football, 15(61), 88-103. Retrieved from https://www.rbff.com.br/index.php/rbff/article/view/1323
Issue
Vol. 15 No. 61 (2023)
Section
Scientific Articles - Original

Copyright (c) 2023 Anderson Ribeiro Duarte, Josino José Babrbosa, Helgem de Souza Ribeiro Martins, Gabriel Vieira de Amorim

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