DOI: 10.14704/nq.2018.16.6.1568

Influence of Investor Sentiment on Stock Returns- Analysis of A- shares in China

Ling Wang, Dalai Ma, Ling Tang, Ji Ma


On the basis of constructing investor sentiment indexes, this paper uses linear and nonlinear Granger Causality Test respectively to study the relationship between investor sentiment and stock returns, and further studies the relationship between bull market and bear market. The results show that there are one-way linear causality and two-way non-linear causality between stock returns and investor sentiment, which indicates that there is a non-linear relationship between investor sentiment and stock returns. Under the conditions of bull market and bear market, the non-linear causality between investor sentiment and stock returns is inconsistent, which is in conformance with the actual situation of China stock market, indicating that there are a lot of irrational sentiment in China stock market, and such irrational sentiment affect stock returns.


Investor Sentiment, Stock Return, Nonlinear Granger Causality

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Arkes HR, Herren LT, Isen AM. The role of potential loss in the influence of affect on risk-taking behavior. Organizational Behavior & Human Decision Processes 1988; 42(2): 181-93.

Baker M, Wurgler J. Investor sentiment and the cross-section of stock returns. Economic Management Journal 2006; 61(4): 1645-80.

Baker M, Wurgler J. Investor sentiment in the stock market. Journal of Economic Perspectives 2007; 21(2): 129-51.

Bathia D, Bredin D, Nitzsche D. ınternational sentiment spillovers in equity returns. International Journal of Finance & Economics 2016; 21(4): 332-59.

Baumann E, Keynes JM. The general theory of employment, interest and money. Studies in Philosophy & Social Science 1936.

Beauregard M, Lévesque J, Bourgouin P. Neural correlates of conscious self-regulation of emotion. Journal of Neuroscience 2001; 21(18): 6993-7000.

Breiter HC, Aharon I, Kahneman D, Dale A, Shizgal P. Functional imaging of neural responses to expectancy and experience of monetary gains and losses. Neuron 2001; 30(2): 619-39.

Brown GW, Cliff MT. Investor sentiment and the near-term stock market. Journal of Empirical Finance 2004; 11(1): 1-27.

Chen YU. Investor Sentiment Theory: Measurement and Application. Chinese Reviews of Financial Studies 2017; 2017(3): 111-22.

Diks C, Panchenko V. A new statistic and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics & Control 2004; 30(9): 1647-69.

Gao DF, Liu ZF, Yang XG. Investor sentiment, Average Correlation and stock Market Returns. Chinese Journal of Management Science 2015; 23(2): 10-20.

Hiemstra C, Jones JD. Testing for Linear and Nonlinear Granger Causality in the Stock Price‐Volume Relation. Journal of Finance 1994; 49(5): 1639-64.

Hsu M, Bhatt M, Adolphs R, Tranel D, Camerer CF. Neural systems responding to degrees of uncertainty in human decision-making. Science 2005; 310(5754): 1680-83.

Jin X, Zou JE. Study on the Relationship Between Investors’ Sentiment and Stock Returns. Journal of Northeastern University (Natural Science) 2014; 35(1): 139-142.

Lux T. Sentiment dynamics and stock returns: the case of the German stock market. Empirical Economics 2011; 41(3): 663-79.

Malkiel BG, Fama EF. Effıcıent capıtal markets: a revıew of theory and empırıcal work. Journal of Finance 1970; 25(2): 383-17.

Pagan AR, Sossounov KA. A Simple Framework for Analyzing Bull and Bear Markets. 2001; 18(1): 23-46.

Stambaugh RF, Yu J, Yuan Y. The short of it: Investor sentiment and anomalies. Journal of Financial Economics 2012; 104(2): 288-302.

Sutton SK, Davidson RJ, Donzella B, Dottl D.A. Manipulating affective state using extended picture presentations. Psychophysiology 2010; 34(2): 217-26.

Wang Q. Study of emotional changes based on neural management and electroencephalogram experiments on low-carbon consumption behavior. NeuroQuantology 2018; 16(2): 25-31.

Wright WF, Bower GH. Mood effects on subjective probability assessment. Organizational Behavior & Human Decision Processes 1992; 52(2): 276-91.

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