Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Graduate School
  3. Cornell Theses and Dissertations
  4. INVESTOR SENTIMENT AND STOCK RETURN: EVIDENCE FROM CHINA

INVESTOR SENTIMENT AND STOCK RETURN: EVIDENCE FROM CHINA

File(s)
Yin_cornell_0058O_10889.pdf (517.98 KB)
Permanent Link(s)
https://doi.org/10.7298/k4g9-6g86
https://hdl.handle.net/1813/70283
Collections
Cornell Theses and Dissertations
Author
Yin, Rui
Abstract

This paper creates an investor sentiment index for the Chinese stock market based on the method of Baker and Wurgler. After construction of investor sentiment index, I perform an eyeball test and find similar trend for investor sentiment index and the SSE composite index. Deeper analysis using the granger causality test proves that the change of SSE composite index could lead to the change of investor sentiment index which can be explained by the “policy market” characteristics of Chinese stock market. In order to investigate the effect of investor sentiment on stock returns in terms of different styles of the company, I run a single-factor model and the sentiment beta results show that the change of investor sentiment has significant different effect on the return of stock with different market characteristics such as price, P/E ratio and P/B ratio. It is consistent with the market anomality that behavior finance has demonstrated such as low price effect and herd effect. Overall, it is important for us to take investor sentiment into consideration when investing in the market.

Description
34 pages
Date Issued
2020-05
Keywords
composite index
•
investor sentiment
•
irrational behavior
•
market anomalies
•
policy market
•
stock return
Committee Chair
Hwang, Byoung-Hyoun
Committee Member
Addoum, Jawad
Degree Discipline
Applied Economics and Management
Degree Name
M.S., Applied Economics and Management
Degree Level
Master of Science
Type
dissertation or thesis
Link(s) to Catalog Record
https://catalog.library.cornell.edu/catalog/13254332

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance