Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 42 , 10 November 2023


Open Access | Article

The Influence of Investor Sentiment on Stock Market

Yu Zhou * 1
1 Xi'an Jiaotong-Liverpool University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 42, 49-56
Published 10 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yu Zhou. The Influence of Investor Sentiment on Stock Market. AEMPS (2023) Vol. 42: 49-56. DOI: 10.54254/2754-1169/42/20232078.

Abstract

By combining economics, psychology, and neuroscience, behavioral finance aims to analyze how human emotions and biases influence financial decision-making. The research utilizes the Investor Sentiment Index (CICSI) as a tool to measure market sentiment and examines its correlation with variables such as IPO first-day returns, turnover rate, and new account openings. The findings demonstrate that investor sentiment significantly impacts market behavior. This suggests that individual emotions and cognitive biases play a crucial role in shaping market trends. These conclusions provide valuable insights for investors, financial analysts, and policymakers seeking to better understand and predict market behavior. By incorporating behavioral finance insights into traditional financial models, a more comprehensive understanding of financial markets can be achieved, enabling informed decision-making.

Keywords

sentiment, IPO first-day earnings, turnover rate, number of newly opened accounts

References

1. MeiJin Wang, JianJun Sun. Return, return volatility and investor sentiment in Chinese stock market[J]. Economic research,2004(10):75-83.

2. Robert F. Stambaugh,Jianfeng Yu,Yu Yuan. The short of it: Investor sentiment and anomalies[J]. Journal of Financial Economics,2012,104(2).

3. MiXue Lu. The measurement of investor sentiment and its effect on stock market volatility[J]. Macroeconomic research,2022(09): 106-119.DOI:10.16304/j.cnki.11-3952/f.2022.09.009.

4. XiaoYun Fan, YaDong Wang, DaoPin Wang, WenXuan Guo, YiXuan Hu. Heterogeneity analysis of financial text information content from different sources: Based on mixed text sentiment measurement method[J]. Manage the world,2022,38(10):78-101. DOI: 10.19744/j.cnki.11-1235/f.2022.0145.

5. Shengping Zhang, Dehua Xiong, Zheng Zhang, Li Liu. The dilemma of modern classical finance and the rise of behavioral finance [J]. Financial Research,2003(04):44-56.

6. Songtao Tan. Behavioral Finance Theory: Based on the Perspective of investors' Trading Behavior [J]. Management world, 2007 (8): 140-150. The DOI: 10.19744 / j.carol carroll nki. 11-1235 / f 2007.08.016.

7. Zheng Zhang, Xinzhong Xu. Behavioral finance research review [J]. Management world, 2006 (9): 155-167. The DOI: 10.19744 / j. carol carroll nki. 11-1235 / f 2006.09.027

8. Yanbin Chen. Mood swings and asset price swings [J]. Economic research,2005(03):36-45.

9. Xindan Li, Jining Wang, Hao Fu. An empirical study on the trading behavior of individual securities investors in China [J]. Economic Research,2002(11):54-63+94.

10. Xinjian Shao, Hemao Wu, Jiaqi Qin, Daoping Wang. Chinese IPO Market Cycle: An Analysis Based on Investor Sentiment and Government timing [J]. Journal of Finance Research,2010(11):123-143.

11. Jun Liu. Behavioral finance theory and the Choice of Investment fund managers [J]. Finance and economics research,2002(04): 33-37. DOI: 10.16538/j.cnki.jfe.2002.04.006.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-105-6
ISBN (Online)
978-1-83558-106-3
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/42/20232078
Copyright
10 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated