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Financial Performance Analysis in European Football Clubs.

David Alaminos1, Ignacio Esteban2, Manuel A Fernández-Gámez3

  • 1Department of Financial Management, Calle de Alberto Aguilera 23, Universidad Pontificia Comillas, 28015 Madrid, Spain.

Entropy (Basel, Switzerland)
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Financial performance in football clubs depends on liquidity, leverage, and sporting success. Quantum neural networks proved most accurate for this financial analysis.

Keywords:
financial performancefootball clubsmultilayer perceptronneural networksquantum neural network

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Area of Science:

  • Sports Management
  • Financial Analytics
  • Computational Intelligence

Background:

  • Club financial performance is crucial for long-term solvency and viability.
  • Analysis requires integrating financial, sports, and corporate factors for income flow and account management.

Purpose of the Study:

  • To analyze the financial performance of European football clubs.
  • To compare the effectiveness of multilayer perceptron and quantum neural networks in this analysis.

Main Methods:

  • Utilized neural network methodologies, specifically multilayer perceptron and quantum neural networks.
  • Applied these models to assess key determinants of financial performance in football clubs.

Main Results:

  • Financial performance is significantly determined by club liquidity, leverage, and sporting performance.
  • Quantum neural networks demonstrated higher accuracy compared to traditional multilayer perceptrons.

Conclusions:

  • Liquidity, leverage, and sporting performance are key drivers of football club financial health.
  • Quantum neural networks offer a more precise tool for analyzing club finances.
  • Findings can inform clubs, stakeholders, and regulatory bodies for improved industry conditions.