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Can social media predict soccer clubs' stock prices?: The case of Turkish teams

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Safari Langroudi, Amirreza (2019) Can social media predict soccer clubs' stock prices?: The case of Turkish teams. [Thesis]

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Official URL: http://risc01.sabanciuniv.edu/record=b2297013 (Table of contents)

Abstract

Finance literature in sports focuses on three main methods of stock price prediction in soccer: based on match results, pre-match expectations or match importance. For pre-match expectations, betting odds is commonly used as the indicator of investors' sentiments. We propose to include Twitter data as another indicator of this variable, and analyze the links between soccer match results, sentiments, and stock returns of the four major Turkish soccer teams. Our results show that social media can be a strong indicator of pre-match expectations and investors’ sentiments in stock price prediction.

Item Type:Thesis
Uncontrolled Keywords:Soccer clubs' stock. -- Stock return. -- Stock price prediction. -- Match performance. -- Pre- Match expectation. -- Social media. -- Sentiment analysis. -- Futbol kulüplerinin hisse senetleri. -- Hisse senedi getirisi. -- Maç performansı. -- Maç öncesi beklentileri. -- Sosyal medya. -- Duygu analizi.
Subjects:H Social Sciences > HD Industries. Land use. Labor
ID Code:39113
Deposited By:IC-Cataloging
Deposited On:26 Aug 2019 11:39
Last Modified:26 Aug 2019 11:39

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