NAVIGATING THE NEXUS: UNRAVELING THE CO-INTEGRATION AND CAUSAL BONDS BETWEEN NASDAQ AND NIFTY

Authors

DOI:

https://doi.org/10.55955/240005

Keywords:

Relationship, Causality, Equilibrium, Co-integration, Financial Indices

Abstract

The intertwining realms of global financial markets have become increasingly complex and interconnected, with indices serving as barometers of economic health and indicators of market dynamics. This study aims to look into the complicated link between the NASDAQ and the NIFTY, attempting to untangle the nuanced relationships that control their co-movements. To meet this objective historical time series data for both indices has been collected for a period ranging from 1st April 2021 to 31st March 2023, for a comprehensive investigation. The data has been collected from BSE website and Yahoo finance. The study utilizes econometric tools like Johansen Co-integration test and Grangers causality in EViews Software. The analysis reveals that the past value of NIFTY granger causes NASDAQ and both the indices have a long-term equilibrium relationship. This study provides valuable insights for investors, analysts, and policymakers navigating the complexities of the global financial landscape.

References

Chisti, K. A., & Shakeel, S. (2018). Co-integration and Causal Relationship between Stock Prices and Macroeconomic Variables (Indian Evidence). Int J Econ Manag Sci, 7(522), 2.

Choudhary, S., & Singhal, S. (2020). International linkages of Indian equity market: evidence from panel co-integration approach. Journal of Asset Management, 21(4), 333-341.

Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.

Gayathri, V., & Dhanabhakyam, D. (2014). Cointegration and causal relationship between gold price and nifty–an empirical study. Abhinav International Monthly Refereed Journal of Research in Management & Technology, 3(7), 14-21.

Gurrib, I. (2018). The relationship between the Nasdaq Composite Index and energy futures markets. Investment Management and Financial Innovations, 15(4), 1-16.

Hansda, S. K., & Ray, P. (2002). BSE and Nasdaq: Globalisation, information technology and stock prices. Economic and Political Weekly, 459-468.

Hemavathy, P., & Gurusamy, S. (2016). Testing the Causality and Co integration of Gold Price and NSE (S&P CNX NIFTY): Evidence from India. Amity Global Business Review, 11.

Joshi, N. A., & Joshi, M. (2021). Co-Integration and Causality Among Stock Market Indices: A Study of 35 Indices Across 5 Continents. SCMS Journal of Indian Management, 18(1), 131-153.

Joshi, P., & Giri, A. K. (2015). Cointegration and causality between macroeconomic variables and stock prices: empirical analysis from Indian economy. Business and Economic Research, 5(2), 327-345.

Khanna, A., Kansara, P., & Dhar, R. (2020). THE INFLUENCE OF GLOBAL INDEXES ON THE INDIAN STOCK MARKET BASED ON CAUSALITY AND COINTEGRATION. International Journal of Management (IJM), 11(11).

Kishor, N., & Singh, R. P. (2016). Inter linkages and co-integration between foreign institutional investments and nifty index. International journal of Business and Emerging markets, 8(2), 146-165.

Kumar, S., Patel, A., & Garg, S. (2022). A cointegration analysis of nifty index with sectoral indices of NSE. Journal of Information and Optimization Sciences, 43(6), 1279-1289.

Mamesah, G. H., Harikatan, K., Hutapea, L. C., & Palalangan, M. C. (2022). The comparison and relationship of IHSG, NIKKEI, and NASDAQ. The Contrarian: Finance, Accounting, and Business Research, 1(2), 41-47.

Mohanasundaram, T., & Karthikeyan, P. (2015). Cointegration and stock market interdependence: Evidence from South Africa, India and the USA. South African Journal of Economic and Management Sciences, 18(4), 475-485.

Rawlin, R. S., Ramachandran, S. R., & Rekha. (2022, July). Causal Relationships of the Stock Market with other Asset Classes: An Indian Perspective. In 2022 13th International Conference on E-business, Management and Economics (pp. 392-398).

Ray, B. K., & Tsay, R. S. (2002). Bayesian methods for change‐point detection in long‐range dependent processes. Journal of Time Series Analysis, 23(6), 687-705.

Roy, A. S., & Sen, S. S. (2019). Co-movement and Co-integration: a study on Nifty, Dow Jones, and N225. In The Gains and Pains of Financial Integration and Trade Liberalization: Lessons from Emerging Economies (pp. 169-181). Emerald Publishing Limited.

Shahani, R., & Paliwal, R. (2023). An empirical investigation of the impact of spillover dynamics from crude to NSE Nifty Index during and prior to the COVID-19 pandemic period. SN Business & Economics, 3(8), 138.

Shakeel, M. (2009). An empirical study on the relationship between Nifty futures index prices and Nifty spot prices at National Stock Exchange. Al-Barkaat Journal of Finance & Management, 1(2), 23-34.

Sriram, M. (2011). Co-integration of Nifty and NASDAQ Composite-An Empirical Investigation. In Proceedings of Third International Conference on Global Business, Economics, Finance and Social Sciences, Mumbai (pp. 1-11).

Downloads

Published

30-11-2023

Issue

Section

Articles

How to Cite

Ajabani, D., & Sharma, P. (2023). NAVIGATING THE NEXUS: UNRAVELING THE CO-INTEGRATION AND CAUSAL BONDS BETWEEN NASDAQ AND NIFTY. Sachetas, 2(4), 37-46. https://doi.org/10.55955/240005

Plaudit