Can Social Media Predict Soccer Clubs’ Stock Prices? The Case of Turkish Teams and Twitter
Autor: | Altuğ Tanaltay, Amirreza Safari Langroudi, Raha Akhavan-Tabatabaei, Nihat Kasap |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | SAGE Open, Vol 11 (2021) |
Druh dokumentu: | article |
ISSN: | 2158-2440 21582440 |
DOI: | 10.1177/21582440211004153 |
Popis: | 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 among 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. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |