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Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMER

The aim of this research is to predict league rankings through various machine learning models using technical and physical parameters. This study followed a longitudinal observational analytical design. The SENTIO Sports optical tracking system was used to measure the physical demands and technical practices of the players in all matches. Then, the data regarding the last three seasons of the Turkish Super League (2015-2016, 2016-2017, and 2017-2018), was collected. In this research, league rankings were estimated using three machine learning methods: Artificial Neural Networks (ANN), Radial ...Более

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Audit Committee and Timely Reporting: Evidence From Turkey

Gökhan ÖZER

This paper seeks to examine whether the characteristics of the audit committee impact the timely reporting represented by audit report lag (ARL), firm-based abnormal audit report lag (FAARL), and industry-based audit reports lag (IAARL). The sample of the study includes mostly hand-collected 2,284 firm-year observations obtained from Turkey's listed non-financial companies. Main regression results show that audit committee gender diversity, meeting frequency, and independence are negatively associated with timely reporting. Furthermore, additional analysis indicates the negative association be ...Более

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