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Why do football clubs fail financially? A financial distress prediction model for European professional football industry
16 references·1 citing·29 second hop
Why do football clubs fail financially? A financial distress prediction model for European professional football industry (2019)Why do football clubs fail financially? A…Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks (2016)Predicting Corporate Bankrupt…Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Financial Distress Prediction…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models (2013)Predicting restaurant financi…The Financial Fair Play Regulations of UEFA: An Adequate Concept to Ensure the Long-Term Viability and Sustainability of European Club Football? (2012)The Financial Fair Play Regul…Soft budget constraints in professional football (2012)Soft budget constraints in pr…Spanish Football Clubs’ Finances: Crisis and Player Salaries (2010)Spanish Football Clubs’ Finan…A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models (2009)A cross model study of corpor…Governance Failure and Financial Crisis in German Football (2007)Governance Failure and Financ…French Football (2007)French FootballCorporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …Predicting Firm Financial Distress: A Mixed Logit Model (2004)Predicting Firm Financial Dis…Annual Review of Football Finance (1996)Annual Review of Football Fin…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Taking fan engagement to a new level – assessing sports consumer interest in virtual environments and Web3 activations (2023)Taking fan engagement to a ne…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)The Measurement of Observer Agreement for Categorical Data (1977)Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble (2016)Machine Learning for Financial Risk Management: A Survey (2020)Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)The Americanization of European football (1999)OUTCOME UNCERTAINTY AND THE COUCH POTATO AUDIENCE (2005)Managing brand presence through social media: the case of UK football clubs (2014)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Modeling Ordered Choices (2010)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Determinants and consequences of financial distress: review of the empirical literature (2018)Does corporate social responsibility reduce financial distress risk? (2020)Female directors, capital structure, and financial distress (2021)Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis (2018)Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress? (2019)Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis (2024)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)The effects of government ownership on bank lending (2003)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2016Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model843 cited
  • 2005Corporate Financial Distress and Bankruptcy759 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2004Predicting Firm Financial Distress: A Mixed Logit Model377 cited
  • 1996Annual Review of Football Finance269 cited
  • 2013Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models215 cited
  • 2016Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks189 cited
  • 2007French Football173 cited
  • 2012Soft budget constraints in professional football171 cited
  • 2009A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models158 cited
  • 2010Spanish Football Clubs’ Finances: Crisis and Player Salaries116 cited

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2012
The Financial Fair Play Regulations of UEFA: An Adequate Concept to Ensure the Long-Term Viability and Sustainability of European Club Football?
112 cited
  • 2007Governance Failure and Financial Crisis in German Football108 cited
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    • 2023Taking fan engagement to a new level – assessing sports consumer interest in virtual environments and Web3 activations15 cited