Modeling a bi-directional sentiment-return relationship: Evidence from the Indian market
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DOIhttp://dx.doi.org/10.21511/imfi.19(4).2022.07
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Article InfoVolume 19 2022, Issue #4, pp. 83-98
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In the last two decades, the subject of investor sentiment has attracted the attention of researchers across the globe. This study attempts to examine the bi-directional relationship between investor sentiment and stock market returns in the Indian market by focusing on both contemporaneous and lagged relationships between investor sentiment and market returns. It also attempts to study the effect of lagged market returns on the current market returns. This study constructs an investor sentiment index for the Indian market using the principal component analysis technique. The results of the regression analysis between the investor sentiment index and stock market returns establish that current sentiment positively affects current market returns, and one-month lagged sentiment negatively affects current market returns. Further, it is found that a one-month lagged market return has a positive association with the current market returns. Moreover, using the VAR model, this study found the existence of a contemporaneous and lagged bidirectional relationship between investor sentiment and market returns. The results of impulse response analysis and variance decomposition analysis also support the presence of a sentiment-return bidirectional relationship but show that the effect of sentiment on market returns is more pronounced than the effect of market returns on investor sentiment.
- Keywords
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JEL Classification (Paper profile tab)G10, G11, G41
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References42
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Tables8
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Figures3
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- Figure 1. Sentiment index
- Figure 2. Trend of market returns and investor sentiment
- Figure 3. VAR-Impulse response analysis
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- Table 1. Correlation coefficient between PROVSENT and contemporaneous and lag value of sentiment proxies
- Table 2. Results of unit root test, augmented Dickey-Fuller test, and Phillips-Perron test
- Table 3. Regression analysis results
- Table 4. Lag length selection using various lag selection criteria
- Table 5. Granger-causality test
- Table 6. Variance decomposition analysis
- Table B1. The sentiment proxies for measuring investor sentiment
- Table C1. Descriptive statistics of the sentiment proxies
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- Aggarwal, D., & Mohanty, P. (2018). Do Indian stock market sentiments impact contemporaneous returns? South Asian Journal of Business Studies, 7(3), 332-346.
- Al-Nasseri, A., Ali, F. M., & Tucker, A. (2021). Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors. International Review of Financial Analysis, 78, 101910.
- Anusakumar, S. V., Ali, R., & Wooi, H. C. (2017). The Effect of Investor Sentiment on Stock Returns: Insight from Emerging Asian Markets. Asian Academy of Management Journal of Accounting & Finance, 13(1), 159-178.
- Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(4), 1645-1680.
- Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129-152.
- Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307-343.
- Bayram, S. G. (2017). Rational–irrational investor sentiments and emerging stock market returns: A comparison from turkey. Journal of Emerging Market Finance, 16(3), 219-245.
- Black, F. (1986). Noise. The Journal of Finance, 41(3), 528-543.
- Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1-27.
- Canbaş, S., & Kandır, S. Y. (2009). Investor sentiment and stock returns: Evidence from Turkey. Emerging Markets Finance and Trade, 45(4), 36-52.
- Chakraborty, M., & Subramaniam, S. (2020). Asymmetric relationship of investor sentiment with stock return and volatility: evidence from India. Review of Behavioral Finance, 12(4), 435-454.
- Chen, M. P., Chen, P. F., & Lee, C. C. (2013). Asymmetric effects of investor sentiment on industry stock returns: Panel data evidence. Emerging Markets Review, 14, 35-54.
- Dash, S. R., & Mahakud, J. (2012). Investor sentiment, risk factors and stock return: Evidence from Indian non-financial companies. Journal of Indian Business Research, 4(3), 194-218.
- Dash, S. R., & Mahakud, J. (2013). Impact of Investor Sentiment on Stock Return: Evidence from India. Journal of Management Research (09725814), 13(3).
- Dash, S. R., & Maitra, D. (2018). Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach. Finance Research Letters, 26, 32-39.
- De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703-738.
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
- Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.
- Fama, E. F. (1965). The behavior of stock-market prices. The Journal of Business, 38(1), 34-105.
- Geweke, J. (1982). Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association, 77(378), 304-313.
- Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438.
- Huang, C., Yang, X., Yang, X., & Sheng, H. (2014). An empirical study of the effect of investor sentiment on returns of different industries. Mathematical Problems in Engineering, 45, 1-11.
- Khan, M. A., & Ahmad, E. (2018). Measurement of investor sentiment and its bi-directional contemporaneous and lead–lag relationship with returns: Evidence from Pakistan. Sustainability, 11(1), 94-113.
- Kim, S. H., & Kim, D. (2014). Investor sentiment from internet message postings and the predictability of stock returns. Journal of Economic Behavior & Organization, 107, 708-729.
- Li, J. (2021). The term structure effects of individual stock investor sentiment on excess returns. International Journal of Finance & Economics, 26(2), 1695-1705.
- Marczak, M., & Beissinger, T. (2016). Bidirectional relationship between investor sentiment and excess returns: New evidence from the Wavelet perspective. Applied Economics Letters, 23(18), 1305-1311.
- Maziarz, M. (2015). A review of the Granger-causality fallacy. The Journal of Philosophical Economics: Reflections on Economic and Social Issues, 8(2), 86-105.
- McGurk, Z., Nowak, A., & Hall, J. C. (2020). Stock returns and investor sentiment: textual analysis and social media. Journal of Economics and Finance, 44(3), 458-485.
- Naik, P. K., & Padhi, P. (2016). Investor sentiment, stock market returns and volatility: evidence from National Stock Exchange of India. International Journal of Management Practice, 9(3), 213-237.
- Pandey, P., & Sehgal, S. (2019). Investor sentiment and its role in asset pricing: An empirical study for India. IIMB Management Review, 31(2), 127-144.
- Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
- Rashid, A., Fayyaz, M., & Karim, M. (2019). Investor sentiment, momentum, and stock returns: an examination for direct and indirect effects. Economic Research-Ekonomska Istraživanja, 32(1), 2638-2656.
- Ryu, D., Kim, H., & Yang, H. (2017). Investor sentiment, trading behavior and stock returns. Applied Economics Letters, 24(12), 826-830.
- Schmeling, M. (2009). Investor sentiment and stock returns: Some international evidence. Journal of Empirical Finance, 16(3), 394-408.
- Sehgal, S., Sood, G. S., & Rajput, N. (2010). Developing an investor sentiment index for India. Osmania Journal of International Business Studies, 5(1), 49-55.
- Shiller, R. C. (2000). Irrational exuberance. Philosophy & Public Policy Quarterly, 20(1), 18-23.
- Shleifer, A., & Vishny, R. W. (1997). The limits of arbitrage. The Journal of Finance, 52(1), 35-55.
- Ugurlu-Yildirim, E., Kocaarslan, B., & Ordu-Akkaya, B. M. (2021). Monetary policy uncertainty, investor sentiment, and US stock market performance: New evidence from nonlinear cointegration analysis. International Journal of Finance & Economics, 26(2), 1724-1738.
- Verma, R., & Verma, P. (2007). Noise trading and stock market volatility. Journal of Multinational Financial Management, 17(3), 231-243.
- Xu, H. C., & Zhou, W. X. (2018). A weekly sentiment index and the cross-section of stock returns. Finance Research Letters, 27, 135-139.
- Yu, J., & Yuan, Y. (2011). Investor sentiment and the mean-variance relation. Journal of Financial Economics, 100(2), 367-381.
- Yu, J., Huang, H. H., & Hsu, S. W. (2014). Investor sentiment influence on the risk-reward relation in the Taiwan stock market. Emerging Markets Finance and Trade, 50(2), 174-188.