Retail investor attention and herding behavior |
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Affiliation: | 1. College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China;2. China Centre for Social Computing and Analytics, Tianjin 300072, China;1. Indian Institute of Management, Kashipur, India;2. Adnan Kassar School of Business, Lebanese American University, Lebanon;3. Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia |
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Abstract: | In this paper, we argue that when individual investors can obtain information from public resources such as Google search, the degree of investor attention to a particular underlying company is positively linked with herding behavior for retail investors. Empirical results confirm that Google Search Volume Index can be a proxy for the information demand of uninformed individual investors. Empirical evidence also shows that reaching the price limit generates an attention-grabbing effect. Further, in general, small cap firms generate more intensive individual investor herding. In addition, we explore the asymmetric impact of abnormal search volume index on individual investor herding behavior for bull and bear markets, and confirm that the individual investor buy herding phenomenon is stronger in bull markets, especially for small capitalization firms. In bear markets, with greater price deterioration for large cap firms, we detect herding behavior on the sell side. |
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Keywords: | Investor attention Information demand Herding Google search volume index |
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