Review of Professional Management
issue front

Animesh Bhattacharjee1, Joy Das2 and Sunil Kumar3

First Published 9 Dec 2024. https://doi.org/10.1177/09728686241298758
Article Information
Corresponding Author:

Animesh Bhattacharjee, The Techno India University Tripura, Maheshkhola, Tripura 799003, India.
Email: bhatt.ani725@gmail.com

The Techno India University Tripura, Maheshkhola, Tripura, India
Department of Commerce, Nagaland University, Kohima Campus Nagaland, India
The ICFAI University Tripura, Kamalghat, Tripura, India

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.

Abstract

The market mood index is a novel sentiment indicator for the Indian stock market, designed to assess the overall mood within the market. This tool purportedly enables investors to become aware of their emotional state and predispositions that may impact their decision-making processes. Given the context, this study aims to explore the relationship between the market mood index and the Indian stock market index in order to verify the effectiveness of the index. The study used data from March 2012 to May 2023. Various analytical techniques are utilised for this purpose, such as unit root tests, cointegration tests, pair-wise Granger causality tests and the DCC-GARCH approach. The results indicate that the Indian stock market and the market mood index are cointegrated in the long term, suggesting a sustained connection between them. Additionally, a feedback mechanism between the variables is apparent. The GARCH analysis confirms the presence of volatility transmission from the market mood index to the Indian stock market in both the long and short term. Furthermore, the DCC model reveals the changing correlation of volatility between the market mood index and the Indian stock market. Trading tactics should be formulated with the association between the two variables in mind. It can be concluded that the studied index, developed by TickerTape, shows good association with the market index suggesting being a good investment indicator.

Keywords

India, mood index, stock market, ARDL, volatility

References

Alsabban, S., & Alarfaj, O. (2020). An empirical analysis of behavioral finance in the Saudi stock market: Evidence of overconfidence behavior. International Journal of Economics and Financial Issues, 10(1), 73–86. https://doi.org/10.32479/ijefi.8920

Baek, S., Mohanty, S. K., & Glambosky, M. (2020). COVID-19 and stock market volatility: An industry-level analysis. Finance Research Letters, 37, 101748.

Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of economic perspectives, 21(2), 129–151.

Bhattacharjee, A., & Das, J. (2022). Assessing the long-run and short-run effect of monetary variables on stock market in the presence of structural breaks: Evidence from liberalised India. The Review of Finance and Banking, 14(2), 121–131.

Chung, S. L., Hung, C. H., & Yeh, C. Y. (2012). When does investor sentiment predict stock returns? Journal of Empirical Finance, 19(2), 217–240.

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.

Dimson, E., Marsh, P., & Staunton, M. (2004). Irrational optimism. Financial Analysts Journal, 60(1), 15–25.

Hudson, Y., & Green, C. J. (2015). Is investor sentiment contagious? International sentiment and UK equity returns. Journal of Behavioral and Experimental Finance, 5, 46–59.

Lutz, C. (2015). The impact of conventional and unconventional monetary policy on investor sentiment. Journal of Banking & Finance, 61, 89–105.

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. https://doi.org/10.1016/ j.iimb.2019.03.009

Pesaran, M. H., Shin, Y., & Smith, R. D. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616

PH, H., & Rishad, A. (2020). An empirical examination of investor sentiment and stock market volatility: Evidence from India. Financial Innovation, 6(1), 34.

Pillada, N., & Rangasamy, S. (2023). An empirical investigation of investor sentiment and volatility of realty sector market in India: An application of the DCC–GARCH model. SN Business & Economics, 3(2), 55.

Prasad, S., Mohapatra, S., Rahman, M. R., & Puniyani, A. (2023). Investor sentiment index: A systematic review. International Journal of Financial Studies, 11(1), 6.

Sahoo, M., Gupta, M., & Srivastava, P. (2021). Does information and communication technology and financial development lead to environmental sustainability in India? An empirical insight. Telematics and Informatics, 60, 101598.

Seth, N., & Kumar, Y. (2023). Market mood index and stock market. Evidence from National Stock Exchange. Theoretical & Applied Economics, 30(1), 263–272.

Singh, S. (2012). Investor irrationality and self-defeating behavior: Insights from behavioral finance. Journal of Global Business Management, 8(1), 116.

Verma, R., Baklaci, H., & Soydemir, G. (2008). The impact of rational and irrational sentiments of individual and institutional investors on DJIA and S&P500 index returns. Applied Financial Economics, 18(16), 1303–1317.

Wang, W., Su, C., & Duxbury, D. (2022). The conditional impact of investor sentiment in global stock markets: A two-channel examination. Journal of Banking & Finance, 138, 106458.


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