Real option and strategic Game Theory decisionscan they be used by clubs to improve their investment in football players?

  1. Gracia Rubio Martín 1
  2. Francisco José González Sánchez 2
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Universidad CEU San Pablo
    info

    Universidad CEU San Pablo

    Madrid, España

    ROR https://ror.org/00tvate34

Libro:
Leveraging new business technology for a sustainable economic recovery: XXXVI Congreso Anual AEDEM: 1 al 3 de junio de 2022, Pozuelo de Alarcón, Madrid
  1. Abel Monfort (coord.)
  2. Susana Fernández-Lores (coord.)

Editorial: Escuela Superior de Gestión Comercial y Marketing, ESIC

ISBN: 978-84-19480-06-4

Año de publicación: 2022

Páginas: 79

Congreso: Asociación Europea de Dirección y Economía de Empresa. Congreso Anual. AEDEM (36. 2022. Pozuelo de Alarcón (Madrid))

Tipo: Aportación congreso

Resumen

The aim of this work is to compare and explain the differences between the crowd valuations and final negotiated prices for some of the most famous transfers over the last twelve years (2007-2018). The article analyses different values for forwards taken from the sports website Transfermarkt, developing a statistical model based on personal, performance, risk, environmental and popularity variables. From those values, the article finds an explanation for the final prices paid for the players based on a combination of real option valuations, incorporating the players’ life cycles, and game theory.We find that in a large percentage (70 %) of the analysed cases, the price paid was higher than the intrinsic market value resulting from the statistical model, implying the existence of monopolistic rents, possibly paid as “growth options” on prices from different negotiating conditions. On occasions, the final prices also exceed the value ofthe growth option, calculated under neutral bargaining conditions, highlighting the lack of economic viability of important transfers. These results can lead to financial difficulties or even bankruptcy for the clubs involved and generates an inflationary process in the football transfer markets.The algorithm provides more flexibility and realism than previous proposals, based on the life cycle of football players, introducing the uncertainty and volatility of projections through Monte Carlo simulation, the capacity of clubs to bargain a price at any point of the contract and finally, the buyer’s ability to sell the player if hissubsequent performance is not as expected