Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

The Impact of Personal and Institutional Investor Sentiment on Stock Returns under the Chinese Stock Market Crash

Authors
Kexuan Wang
Corresponding Author
Kexuan Wang
Available Online January 2017.
DOI
10.2991/icefs-17.2017.13How to use a DOI?
Keywords
stock market crash, individual investor sentiment, institutional investor sentiment, multi-factors pricing model
Abstract

Under Chinese stock market crash, personal and institutional investor sentiment is out of control, which leads to the stock prices fall further. Therefore this article uses the concept of behavioural finance to study the problem. This essay uses multiple regressions to study the influence of the current and lagged emotions of individuals and institutions on the stock returns. The conclusion is helpful to solve the stock market crash and improve the economy in China.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
10.2991/icefs-17.2017.13
ISSN
2352-5428
DOI
10.2991/icefs-17.2017.13How to use a DOI?
Copyright
© 2017, 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  - Kexuan Wang
PY  - 2017/01
DA  - 2017/01
TI  - The Impact of Personal and Institutional Investor Sentiment on Stock Returns under the Chinese Stock Market Crash
BT  - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 162
EP  - 167
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.13
DO  - 10.2991/icefs-17.2017.13
ID  - Wang2017/01
ER  -