Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)

Analysis of Herd Effect of Investor’s Behavior from the Perspective of Behavioral Finance

Authors
Xiaqing Liu, Baiyu Liu, Xiaoning Han
Corresponding Author
Xiaqing Liu
Available Online May 2019.
DOI
https://doi.org/10.2991/icmete-19.2019.133How to use a DOI?
Keywords
Herd effect; Herd behavior; Behavioral finance; Wealth management
Abstract
Behavioral finance integrates multidisciplinary theories such as finance, psychology, behavioral science and sociology. From the perspective of behavioral finance, a large number of investment anomalies were analyzed effectively which in turn broadens the development space of finance. When making investment, investors will have herd behaviors with the same preference and action imitation, gradually forming herd effect. From the perspective of behavioral finance, this paper analyzed the performance and causes of individual investors’ herding behavior under the premise that people are finite rationality, and put forward relevant investment strategies and suggestions to investors, which is beneficial for investors to avoid risks and to make rational financial decisions.
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Proceedings
2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)
Part of series
Advances in Economics, Business and Management Research
Publication Date
May 2019
ISBN
978-94-6252-725-6
ISSN
2352-5428
DOI
https://doi.org/10.2991/icmete-19.2019.133How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaqing Liu
AU  - Baiyu Liu
AU  - Xiaoning Han
PY  - 2019/05
DA  - 2019/05
TI  - Analysis of Herd Effect of Investor’s Behavior from the Perspective of Behavioral Finance
BT  - 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmete-19.2019.133
DO  - https://doi.org/10.2991/icmete-19.2019.133
ID  - Liu2019/05
ER  -