Wang, Guocheng and Wang, Yanyi (2018) Herding, social network and volatility. Economic Modelling, 68. pp. 74-81. ISSN 0264-9993
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Abstract
Investors' expectations are highly influenced by their surroundings' opinions, especially from those who are
believed as gurus. These opinion leaders (i.e., gurus) may manipulate the information when the information is
disseminated to their followers. It is unclear whether herding behaviors will still emerge in this situation and if
so, how these behaviors would influence the market volatility. In this paper, we model agents who choose either
to follow the gurus with different precisions of information, or to be a chartist based on evolutionary
considerations. Numerical simulations show that increasing the quality of gurus' private information would lead
to more intensive herding behavior of followers and produce a U-shaped effect on the market volatility. Besides,
increasing the proportion of gurus in the market would lead to more intensive herding but would decrease the
market volatility. Interestingly, the market environment also affects investors' choices. Investors are more
willing to herd on gurus in boom times or in depression. This paper sheds light on how informed gurus affect
investors' behavior and market volatility through direct communication.
Item Type: | Article |
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Keywords: | Heterogeneous beliefs; Herding; Social networks; Guru; Adaptive beliefs system; Market volatility; |
Academic Unit: | Faculty of Social Sciences > School of Business |
Item ID: | 20657 |
Identification Number: | 10.1016/j.econmod.2017.04.018 |
Depositing User: | Yanyi Wang |
Date Deposited: | 08 Oct 2025 10:45 |
Journal or Publication Title: | Economic Modelling |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/20657 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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