Does Investor Sentiment Predict the Near‐Term Returns of the Chinese Stock Market?

DOIhttp://doi.org/10.1111/irfi.12202
AuthorYimei Man,Kenneth R. Szulczyk,Muhammad A. Cheema
Published date01 March 2020
Date01 March 2020
Does Investor Sentiment Predict
the Near-Term Returns of the
Chinese Stock Market?*
MUHAMMAD A. CHEEMA
,
,YIMEI MAN
§
AND KENNETH R. SZULCZYK
Division of Computational Mathematics and Engineering, Institute for
Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Faculty of Finance and Banking, Ton Duc Thang University, Ho Chi Minh City,
Vietnam
§
School of Accounting, Finance and Economics, University of Waikato, Hamilton,
New Zealand and
Department of Finance and Banking, School of Business, Curtin University, Miri,
Sarawak, Malaysia
ABSTRACT
Recent evidence on the relationship between investor sentiment and subse-
quent monthly market returns in China shows that investor sentiment is a
reliable momentumpredictor since an increase (decrease) in investor sentiment
leads to higher (lower) future returns. However, we suggest that momentum
predictability of investor sentiment originates from the boom and bust period
of 20062008 (the bubble period hereafter). The bubble period is characterized
by several months of sustained optimism followed by several months of sus-
tained pessimism, with the market consequently earning high (low) returns
following high (low) sentiment months. Therefore, we nd a strong positive
association between investor sentiment and subsequent market returns during
the bubble period. However, investor sentiment has a negligible impact on
subsequent monthly market returns once we exclude the bubbleperiod.
JEL Codes: G12; G14
Accepted: 9 May 2018
I. INTRODUCTION
Investor sentiment is dened as investor optimism or pessimism about the
future stock prices that cannot be explained by the existing facts (Baker and
Wurgler 2006). In the literature, there is a growing consensus that investor sen-
timent is a contrarian predictor of stock market returns in the long run
* We thank Professor Ramazan Gençay, Managing Editor and the anonymous reviewer whose com-
ments/suggestions helped improve and clarify this manuscript.
© 2018 International Review of Finance Ltd. 2018
International Review of Finance, 20:1, 2020: pp. 225233
DOI: 10.1111/ir.12202

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