University of Twente Student Theses
Accuracy rate of bankruptcy prediction models for the Dutch professional football industry
Gerritsen, P.L. (2015) Accuracy rate of bankruptcy prediction models for the Dutch professional football industry.
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Abstract: | Bankruptcy and financial distress are chronicle problems for the Dutch professional football industry. Since the establishment of Dutch’s professional football in 1954 nine clubs have been declared bankrupt (four since 2010) and many others were facing financial distress last few years. Club failure identification and early warnings of impending financial crisis could be very important for the Dutch football association in order to maintain a sound industry and to prevent competition disorder. As financial ratios are key indicators of a business performance, different bankruptcy prediction models have been developed to forecast the likelihood of bankruptcy. Because bankruptcy prediction models are based on specific industries, samples and periods it remains a challenge to predict with a high accuracy rate in other settings. Therefore, the aim of this study is to assess the accuracy rate of bankruptcy prediction models to an industry and period outside those of the original studies namely, the Dutch professional football industry. |
Item Type: | Essay (Master) |
Faculty: | BMS: Behavioural, Management and Social Sciences |
Subject: | 83 economics |
Programme: | Business Administration MSc (60644) |
Link to this item: | https://purl.utwente.nl/essays/68211 |
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