Do Major and Emerging Economies Co-Integrate with, Influence Over, or Make a Volatility Spillover Effect on the Indian Stock Market? An Empirical Analysis

Authors

  •   R. Kumara Kannan Assistant Professor – Finance (Corresponding Author), Xavier Institute of Management and Entrepreneurship, (XIME), Bangalore – 560 100, Karnataka
  •   Selvam Jesiah Professor and Principal, Sri Ramachandra Faculty of Management Science, Sri Ramachandra Institute of Higher Education and Research, (SRIHER) (Deemed to be University), Porur – 600 116, Chennai

DOI:

https://doi.org/10.17010/ijrcm/2024/v11i2/174177

Keywords:

co-integration

, volatility spillover, GARCH, EGARCH, granger causality.

JEL Classification Codes

, C01, C32, G15

Paper Submission Date

, January 25, 2024, Paper sent back for Revision, April 9, Paper Acceptance Date, May 10, 2024

Abstract

Purpose : In order to protect the poor and rural investors, who make up 30% of all investors, it became imperative to look into the degree of dependency between the Indian stock market and other major economic stock markets once the pandemic began to threaten the world. There were 10 million investors in rural India out of 33.7 million investors in the country overall. Thus, the purpose of this study was to examine how India’s economic reforms have affected other major economies and how dependent they are on India.

Methodology : The Augmented Dickey–Fuller test was used to determine whether a unit root exists. The Johnson co-integration test, Granger causality test, GARCH Model, serial correlation test, heteroskedasticity test, and Histogram normality test were used to determine whether an ARCH effect existed. The GARCH, GARCH M, and EGARCH models were used to determine whether volatility spillover effects existed.

Findings : We discovered that with the help of these instruments, the Indian stock market is more dependent on the Japanese stock market than it is on the Russian stock market.

Practical Implications : This would make it possible for government organizations to draft trading laws that would permit investors from both home and abroad to transact on the Indian stock exchanges. The co-integration era might influence how the government writes laws governing investment strategies and capital market investment restrictions.

Originality : A thorough analysis of the post-reform period is necessary, in contrast to earlier research on co-integration, as this will provide a comprehensive picture of the interdependence between the markets. A substantial sample of economies for the study must be gathered, which is another requirement. Three hundred eighty-four monthly data points were gathered throughout the post-economic reform era in order to compare 20 economies with India.

Downloads

Download data is not yet available.

Published

2024-04-15

How to Cite

Kannan, R. K., & Jesiah, S. (2024). Do Major and Emerging Economies Co-Integrate with, Influence Over, or Make a Volatility Spillover Effect on the Indian Stock Market? An Empirical Analysis. Indian Journal of Research in Capital Markets, 11(2), 29–47. https://doi.org/10.17010/ijrcm/2024/v11i2/174177

References

Babu, M., & Srinivasan, S. (2014). Testing the co-integration in Indian commodity markets: A study with reference to Multi Commodity Exchange India Ltd. Indian Journal of Finance, 8(3), 35–43. https://doi.org/10.17010/ijf/2014/v8i3/71961

Bhatia, P., & Ramasubramanian, H. (2019). Co-integration between Sensex and other popular indices: A decadal study. FIIB Business Review, 8(2), 108–117. https://doi.org/10.1177/2319714518817383

Bhattacharjee, S., & Swaminathan, A. M. (2016). Stock market integration of India with rest of the world: An empirical study. Indian Journal of Finance, 10(5), 22–32. https://doi.org/10.17010/ijf/2016/v10i5/92934

Gulzar, S., Kayani, G. M., Xiaofeng, H., Ayub, U., & Rafique, A. (2019). Financial cointegration and spillover effect of global financial crisis: A study of emerging Asian financial markets. Economic Research, 32(1), 187–218. https://doi.org/10.1080/1331677X.2018.1550001

Hung, N. (2019). Return and volatility spillover across equity markets between China and Southeast Asian countries. Journal of Economics, Finance and Administrative Science, 24(47), 66–81. https://doi.org/10.1108/JEFAS-10-2018-0106

Jaisinghani, D. (2018). Empirical analysis of cointegration of Indian financial markets with other markets. ZENITH International Journal of Multidisciplinary Research, 8(5), 109–115. http://mail.zenithresearch.org.in/images/stories/pdf/2018/MAY/ZIJMR/10_ZIJMR_VOL8_ISSUE5_MAY_2018.pdf

Johansen, S., & Juselius, K. (1990) Maximum likelihood estimation and inference on cointegration — With applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x

Kumar, A. (2019). Shock and volatility spillovers between stock markets of India and select Asian economies. Review of Professional Management, 17(1), 46. https://doi.org/10.20968/rpm/2019/v17/i1/145649

Kumara Kannan, R., & Jesiah, S. (2022). Interdependence between India stock market and developed economies stock markets during major stock market crashes. Finance India, 36(2), 537–550. https://financeindia.org/data/2022/FI362/FI-362-Art04.pdf

Mitra, A., & Bhattacharjee, K. (2015). Financial interdependence of international stock markets: A literature review. Indian Journal of Finance, 9(5), 20–33. https://doi.org/10.17010/ijf/2015/v9i5/71447

Ozen, E., & Tetik, M. (2019). Did developed and developing stock markets react similarly to Dow Jones during 2008 Crisis? Frontiers in Applied Mathematics and Statistics, 5, p. 49. https://doi.org/10.3389/fams.2019.00049

Patel, R. J. (2017). Co-movement and integration among stock markets: A study of 14 countries. Indian Journal of Finance, 11(9), 53–66. https://doi.org/10.17010/ijf/2017/v11i9/118089

Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335

Sachdeva, T., Bhullar, P. S.,& Gupta, P. K. (2021). Cointegration of Indian stock market with global stock markets: An empirical analysis applying vector error correction model. SCMS Journal of Indian Management, 18(3), p.5.

Vohra, P. S. (2016). A study of co-movement among indices of Bombay Stock Exchange. Indian Journal of Finance, 10(9), 11–29. https://doi.org/10.17010/ijf/2016/v10i9/101476