Examining the influence of stock market variables on microblogging sentiment

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• 作者：Juan Ramó ; n Piñ ; eiro-Chousa ; ^{j.pineiro@usc.es" class="auth_mail" title="E-mail the corresponding author} ; M. Á ; ngeles Ló ; pez-Cabarcos ^{angeles.lopez.cabarcos@usc.es" class="auth_mail" title="E-mail the corresponding author} ; Ada Marí ; a Pé ; rez-Pico ^{adamaria.perez@rai.usc.es" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Fuzzy-set QCA ; Microblog sentiment ; Tobin's Q ; P/E ratio ; Number of followers ; Experience of users
• 刊名：Journal of Business Research
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：69
• 期：6
• 页码：2087-2092
• 全文大小：263 K

文摘

This research investigates different combinations of causal conditions that may relate to microblogging sentiment. The study considers financial variables, such as VIX, Tobin's Q, capitalization, or P/E ratio, and variables related to social media activity, such as number of twits, number of followers, or the experience of the users. Using a fuzzy-set qualitative comparative analysis, this research analyzes the sentiment of stock-related microblogging messages of S&P 500 Index posted between October 2009 and October 2014. The model where the message sentiment increases finds three causal recipes and all of them contain user experience and number of followers: (1) the configuration within user experience, number of followers, and Tobin's Q; (2) the configuration within user experience, number of followers, and lower P/E ratio, lower capitalization, and lower Tobin's Q; (3) and the configuration within user experience, number of followers, P/E ratio, and Tobin's Q. The study discusses the results.