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Thirty years of herd behavior in financial markets: A bibliometric analysis

Enkhbayar Choijil, Christian Espinosa Méndez, Wing-Keung Wong (), João Paulo Vieito and Munkh-Ulzii Batmunkh ()

Research in International Business and Finance, 2022, vol. 59, issue C

Abstract: Bibliometric studies have proven useful in helping researchers better explore the current research trends within a particular field of study. This study analyzes academic research on herd behavior in financial markets conducted over 30 years. The Web of Science database was selected to collect bibliographic material and provide various bibliometric indicators, including the number of citations, publications, and authors, while bibliometric techniques were also employed for visualizing the similarities. The results show a significant growth in research on herd behavior, especially following the subprime crisis. The concluding results from the literature indicate that there is no consensus regarding the causes of this phenomenon, but new perspective have emerged to expand research on herd behavior.

Keywords: Herding behavior; Financial markets; Bibliometrics; Web of science (search for similar items in EconPapers)
JEL-codes: G14 G15 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001276

DOI: 10.1016/j.ribaf.2021.101506

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