Articles in this issue:

  • Timothy L. Urban

    Some coaches are so successful and have such an impact on their team that they are considered “legendary.” When they step down from their position and the team transitions to a new head coach, there will likely be a great deal of uncertainty concerning how the team will perform in this new situation; thus, it may take time for the betting markets to adjust. The purpose of this study is to investigate the efficiency of a sports betting market for the rare situation in which a legend steps down from the head coaching position. Data from the National Football League are analyzed using a novel...Read more

  • Matheus Galdino
    Brian Soebbing
    and Pamela Wicker

    This study analyzes how the sports betting market responds to changes of head coaches in Brazilian football using data from 11 seasons (2010‒2020), including 4,180 official league games and 379 within-season coaching replacements. We examine the return on investment (ROI) for bets to win and bets to lose for three betting strategies: when head coaches joined their teams (1) after a dismissal, (2) following a resignation, and (3) when transition coaches worked between effective replacements. The regression results show significant positive effects on ROI for bets to win for games 5, 7, and...Read more

  • Alberto Calahorro-López
    Melinda Ratkai
    Panagiotis E. Dimitropoulos
    and Julio Vena-Oya

    This study measures the impact of Financial Fair Play (FFP) in the Spanish football league by considering three objectives: (1) the probability of qualifying for European competition, (2) if sporting objectives can be related to the financial situation of the clubs, and (3) changes in the financial-accounting structure. The sample contains 176 observations from 13 Spanish clubs between 2004‒2019. The empirical findings reveal that the likelihood of qualifying for European competition is sensitive to certain financial items. It was found that the greater the intangible assets were (pre-FFP...Read more

  • Eunsoo Park
    Yoonji Ryu
    Wonseok Jang
    Gyemin Lee
    and Hyunwoong Pyun

    This study performed a direct test of reference-dependent preferences with loss aversion in National Football League fans. For the 2021 and 2022 seasons, we collected all comments from YouTube game highlights. Subsequently, we identified each user’s supporting team and performed sentiment analysis to estimate sentiment scores using a pretrained deep learning model. Least squares dummy variable regressions were applied to examine reference-dependent preference and loss aversion, using win and win probability and upset results with the sentiment score of comments as an outcome. The results...Read more