Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/258857 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Risk and Financial Management [ISSN:] 1911-8074 [Volume:] 15 [Issue:] 3 [Article No.:] 134 [Publisher:] MDPI [Place:] Basel [Year:] 2022 [Pages:] 1-42
Publisher: 
MDPI, Basel
Abstract: 
We look into determinants (volatility, crises, sentiment and the U.S. 'fear' index) of herding using BRICS as our sample. Investors herd selectively to crises and herding is a short-lived phenomenon. Herding was highest during the global financial crisis (only China was affected). There was no herding during the European debt crisis and COVID. With regard to the relationship between volatility and CSAD (cross sectional absolute deviation)/herding, a lower CSAD (movement in a specific direction) brings about less volatility. However, a high volatility amplifies herding (reduces CSAD), especially in China. Russia and South Africa are unresponsive to volatility levels (low/high) and herding. We also observe volatility heterogeneity. Different volatility measures have different effects on different markets. There is limited evidence to suggest that sentiment (based on principal component) Granger causes herding/CSAD. Herding is a period and market variant and unrelated to crises. The U.S. 'fear' index has a short-lived, limited effect on CSAD/herding (during COVID only) for all countries except China. In addition, Granger causality analysis indicates a two-way relationship between the U.S. 'fear' index and CSAD/herding, unrelated to crises.
Subjects: 
herding
volatility
sentiment
principal component
crises
COVID
U.S. &#x2018
fear&#x2019
BRICS
JEL: 
G14
G15
G41
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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