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INSOLVENCY IN BRAZILIAN FOOTBALL CLUBS: PROPOSITION OF MODELS BASED ON NEURAL NETWORKS

BBR Brazilian business review (Portuguese ed.), 2021-11, Vol.18 (6), p.624-642

COPYRIGHT 2021 Fucape Business School/ Brazilian Business Review ;2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the“License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 1808-2386 ;ISSN: 1807-734X ;EISSN: 1808-2386 ;EISSN: 1807-734X ;DOI: 10.15728/bbr.2021.18.6.2

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  • Title:
    INSOLVENCY IN BRAZILIAN FOOTBALL CLUBS: PROPOSITION OF MODELS BASED ON NEURAL NETWORKS
  • Author: Minatto, Fabio ; Borba, Jose Alonso
  • Subjects: Balance sheets ; Bankruptcy ; brazilian football clubs ; Equity ; Financial statements ; Insolvency ; MANAGEMENT ; Neural networks ; Rankings ; Regulation of financial institutions ; Soccer teams ; Tournaments & championships ; Web sites ; Working capital
  • Is Part Of: BBR Brazilian business review (Portuguese ed.), 2021-11, Vol.18 (6), p.624-642
  • Description: The literature underlines that football clubs face financial problems, which can lead to insolvency. Existing models seek to predict insolvency for organizations in different sectors, but only recently have they been developed for European clubs. Thus, this study proposes insolvency prediction models for Brazilian football clubs. Based on the ranking elaborated by the Brazilian Football Confederation, we analyzed 35 football clubs that published their complete financial statements from 2011 to 2018. Financial and sports indicators were considered in the development of our neural network-based models. Results indicated that the variables immediate liquidity, net working capital, asset turnover, and sports performance in the Brazilian Championship were significant for predicting insolvency in at least one of the developed models. This study contributes to the literature on football clubs' insolvency by proposing accurate predictive models based on financial and sporting indicators.
  • Publisher: Vitória: Fucape Business School/ Brazilian Business Review
  • Language: English;Portuguese
  • Identifier: ISSN: 1808-2386
    ISSN: 1807-734X
    EISSN: 1808-2386
    EISSN: 1807-734X
    DOI: 10.15728/bbr.2021.18.6.2
  • Source: SciELO
    Alma/SFX Local Collection
    ProQuest Central
    DOAJ Directory of Open Access Journals
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