{"title":"Predicting the value of professional sport clubs. A study of European soccer, 2005–2018","authors":"Yury Zelenkov, I. Solntsev","doi":"10.31737/2221-2264-2022-56-4-2","DOIUrl":null,"url":null,"abstract":"This article aims to build a general valuation model that can be applied by investors and current shareholders of professional sport clubs from different countries and leagues. The study is based on panel data on the valuation of soccer clubs published annually by Forbes. Authors analyze all value-drivers that were used previously, expanding the time horizon (number of observations) and incorporating various models including linear and non-linear mixed effect regressions. The best performance is obtained using a mixed-effect model with treebased fi xed part. The following determinants were found signifi cant for the fi xed effect: revenue and number of Google search requests. Analysis of actual deals in 2015–2020 confi rms the model’s predictive ability. It is also shown that since Forbes overestimates the market value of soccer clubs, the proposed model predicts an upper bound on the real value. In this regard, transactions with real value exceeding the estimates are of particular interest. A deeper analysis of such transactions allows to identify additional “non-soccer” factors affecting the deal. Therefore, the proposed model can serve as a tool for the rapid assessment of a soccer club based on open data.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31737/2221-2264-2022-56-4-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This article aims to build a general valuation model that can be applied by investors and current shareholders of professional sport clubs from different countries and leagues. The study is based on panel data on the valuation of soccer clubs published annually by Forbes. Authors analyze all value-drivers that were used previously, expanding the time horizon (number of observations) and incorporating various models including linear and non-linear mixed effect regressions. The best performance is obtained using a mixed-effect model with treebased fi xed part. The following determinants were found signifi cant for the fi xed effect: revenue and number of Google search requests. Analysis of actual deals in 2015–2020 confi rms the model’s predictive ability. It is also shown that since Forbes overestimates the market value of soccer clubs, the proposed model predicts an upper bound on the real value. In this regard, transactions with real value exceeding the estimates are of particular interest. A deeper analysis of such transactions allows to identify additional “non-soccer” factors affecting the deal. Therefore, the proposed model can serve as a tool for the rapid assessment of a soccer club based on open data.
期刊介绍:
Key Journal''s objectives: bring together economists of different schools of thought across the Russian Federation; strengthen ties between Academy institutes, educational establishments and economic research centers; improve the quality of Russian economic research and education; integrate economic science and education; speed up the integration of Russian economic science in the global mainstream of economic research. The Journal publishes both theoretical and empirical articles, devoted to all aspects of economic science, which are of interest for wide range of specialists. It welcomes high-quality interdisciplinary projects and economic studies employing methodologies from other sciences such as physics, psychology, political science, etc. Special attention is paid to analyses of processes occurring in the Russian economy. Decisions about publishing of articles are based on a double-blind review process. Exceptions are short notes in the section "Hot Topic", which is usually formed by special invitations and after considerations of the Editorial Board. The only criterion to publish is the quality of the work (original approach, significance and substance of findings, clear presentation style). No decision to publish or reject an article will be influenced by the author belonging to whatever public movement or putting forward ideas advocated by whatever political movement. The Journal comes out four times a year, each issue consisting of 12 to 15 press sheets. Now it is published only in Russian. The English translations of the Journal issues are posted on the Journal website as open access resources.