The authors investigate the impact of social media on S&P index constituents for U.S., European, and emerging markets with the international investor perspective using firm-specific Twitter sentiment and activity. The findings indicate that Twitter activity and sentiment are associated with trading volume and returns, and predicts subsequent-day trading volume. The authors find that firm-specific Twitter sentiment contains information for predicting stock returns and this predictive power remains significant after controlling news sentiment. The positive tone of Twitter sentiment is more pronounced in small and emerging market firms, which is consistent with the literature stating that small firms are hard to value and emerging market firms contain high information asymmetry. From a practical perspective, investors could potentially use social media sentiment in trading strategies.
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Department of Economics & Finance, Canisus College, Buffalo, NYDepartment of Economics & Finance, Canisus College, Buffalo, NY
McGurk Z.
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Nowak A.
Hall J.C.
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John Chambers College of Business and Economics, West Virginia University, Morgantown, 26506, WVDepartment of Economics & Finance, Canisus College, Buffalo, NY
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Hong Kong Polytech Univ, Ctr Econ Sustainabil & Entrepreneurial Finance, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Ctr Econ Sustainabil & Entrepreneurial Finance, Hong Kong, Peoples R China
Broadstock, David C.
Zhang, Dayong
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Southwestern Univ Finance & Econ, Res Inst Econ & Management, Chengdu, Sichuan, Peoples R ChinaHong Kong Polytech Univ, Ctr Econ Sustainabil & Entrepreneurial Finance, Hong Kong, Peoples R China
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Chinese Univ Hong Kong Shenzhen CUHK Shenzhen, Sch Management & Econ, Shenzhen, Peoples R China
Chinese Univ Hong Kong Shenzhen CUHK Shenzhen, Shenzhen Finance Inst, Shenzhen, Peoples R ChinaTsinghua Univ, PBC Sch Finance, Beijing, Peoples R China