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:	History of scholarship and learning. The humanities AZ20-999 Social Sciences
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:	https://doaj.org/article/46758e08219340e385b36229efadce50 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF