IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v25y2024i3p322-345.html
   My bibliography  Save this article

The S-Score of Financial Sustainability for Professional Football Clubs

Author

Listed:
  • Richard Evans

Abstract

This article extends the extensive literature on business failure and develops the approach of Altman to provide quantified recommendations for the financial sustainability of football clubs. The article uniquely identifies four scenarios that have caused insolvency for football clubs in the English Football League (EFL) and uses multiple discriminant analysis to identify financial models that delineate between professional football clubs that experience insolvency events and those that do not. These models produce an S-score which is introduced to suggest minimum financial tolerances for accounting ratios that provide a reasonable level of resilience for the financial sustainability of clubs in each scenario. The results are relevant for academics and non-academics with an interest in the business of football, professional football clubs aiming to avoid financial distress, and specifically, the Regulator that the U.K. government has proposed for football in England.

Suggested Citation

  • Richard Evans, 2024. "The S-Score of Financial Sustainability for Professional Football Clubs," Journal of Sports Economics, , vol. 25(3), pages 322-345, April.
    • Handle: RePEc:sae:jospec:v:25:y:2024:i:3:p:322-345
    DOI: 10.1177/15270025231222634
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/15270025231222634
    Download Restriction: no
    File URL: https://libkey.io/10.1177/15270025231222634?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    2. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    3. Stephanie Leach & Stefan Szymanski, 2015. "Making Money Out of Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(1), pages 25-50, February.
    4. Mickael Terrien & Christophe Durand, 2016. "French 75% tax rate: an opportunity ti optimize the attractivness of the french soccer league," Post-Print hal-02117389, HAL.
    5. Babatunde Buraimo & Rob Simmons & Stefan Szymanski, 2010. "English Football," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 8, pages 162-181, Palgrave Macmillan.
    6. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    8. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    9. Egon Franck & Markus Lang, 2014. "A Theoretical Analysis of the Influence of Money Injections on Risk Taking in Football Clubs," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 430-454, September.
    10. Budzinski, Oliver, 2014. "The competition economics of financial fair play," Ilmenau Economics Discussion Papers 85, Ilmenau University of Technology, Institute of Economics.
    11. repec:hal:journl:hal-03511230 is not listed on IDEAS
    12. Nicolas Scelles & Stefan Szymanski & Nadine Dermit-Richard, 2018. "Insolvency in French Soccer," Journal of Sports Economics, , vol. 19(5), pages 603-624, June.
    13. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    14. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    15. Umberto Lago & Rob Simmons & Stefan Szymanski, 2006. "The Financial Crisis in European Football," Journal of Sports Economics, , vol. 7(1), pages 3-12, February.
    16. Mickael Terrien & Nicolas Scelles & Stephen Morrow & Lionel Maltèse & Christophe Durand, 2017. "The win/profit maximization debate: strategic adaptation as the answer?," Post-Print hal-01794268, HAL.
    17. Stefan Szymanski, 2017. "Entry into exit: insolvency in English professional football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 419-444, September.
    18. Mickael Terrien & Nicolas Scelles & Stephen Morrow & Lionel Maltèse & Christophe Durand, 2017. "The win/profit maximization debate: strategic adaptation as the answer?," Post-Print halshs-02111106, HAL.
    19. Sloane, Peter J, 1971. "The Economics of Professional Football: The Football Club as a Utility Maximiser," Scottish Journal of Political Economy, Scottish Economic Society, vol. 18(2), pages 121-146, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    2. David Alaminos & Manuel Ángel Fernández, 2019. "Why do football clubs fail financially? A financial distress prediction model for European professional football industry," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    3. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    4. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
    5. Youssef Zizi & Amine Jamali-Alaoui & Badreddine El Goumi & Mohamed Oudgou & Abdeslam El Moudden, 2021. "An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression," Risks, MDPI, vol. 9(11), pages 1-24, November.
    6. Dagmar Camska & Jiri Klecka, 2020. "Comparison of Prediction Models Applied in Economic Recession and Expansion," JRFM, MDPI, vol. 13(3), pages 1-16, March.
    7. Francesco Ciampi & Valentina Cillo & Fabio Fiano, 2020. "Combining Kohonen maps and prior payment behavior for small enterprise default prediction," Small Business Economics, Springer, vol. 54(4), pages 1007-1039, April.
    8. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
    9. Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.
    10. Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021. "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 99-116.
    11. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    12. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    13. Haoming Wang & Xiangdong Liu, 2021. "Undersampling bankruptcy prediction: Taiwan bankruptcy data," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
    14. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    15. Youssef Zizi & Mohamed Oudgou & Abdeslam El Moudden, 2020. "Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach," Risks, MDPI, vol. 8(4), pages 1-21, October.
    16. Ángel Beade & Manuel Rodríguez & José Santos, 2024. "Multiperiod Bankruptcy Prediction Models with Interpretable Single Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1357-1390, September.
    17. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    18. Kumar, Rahul & Deb, Soumya Guha & Mukherjee, Shubhadeep, 2020. "Do words reveal the latent truth? Identifying communication patterns of corporate losers," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    19. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    20. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jospec:v:25:y:2024:i:3:p:322-345. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.