Bibliometric Analysis of Herding Behavior in Capital Market
- DOI
- 10.2991/aebmr.k.200410.035How to use a DOI?
- Keywords
- bibliometric analysis, capital market, herding behavior, informational cascade
- Abstract
Herding behavior in financial market as a theoretical concept get going to be popular since 1990s. There are many articles that discuss and investigate herding behavior in capital market, but our understanding about antecedents and outcomes of herding behavior is still very limited. The majority of empirical research are investigated whether herding behavior really occur in capital market or not. In this paper, we conduct a bibliometric analysis to map the development of research on herding behavior in the capital market. We analyze quantitatively the distribution patterns of publications, dimensions related to herding behavior and the most influential research. Based on 279 articles which were taken from Scopus database, we mapped the level of co-occurrence and network of researchers through keywords analysis. This bibliometric analysis provides insight into the research profile and opportunities that can be carried out regarding herding behavior in the capital market.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Puput Tri Komalasari AU - Marwan Asri AU - Bowo Setiyono PY - 2020 DA - 2020/04/13 TI - Bibliometric Analysis of Herding Behavior in Capital Market BT - Proceedings of the 3rd Asia Pacific International Conference of Management and Business Science (AICMBS 2019) PB - Atlantis Press SP - 226 EP - 232 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200410.035 DO - 10.2991/aebmr.k.200410.035 ID - Komalasari2020 ER -