Co-movements between Stock Markets and Exchange Rates: Empirical Evidence from the G20 Nations

Authors

  • Dr.Ritu Kumar Suri Lakshmibai College, University of Delhi, Delhi, India
  • Dr. Sucheta Gauba University of Delhi
  • A Porchelvi Chandran University of Delhi

DOI:

https://doi.org/10.47747/ijfr.v5i3.1934

Keywords:

Stock prices, Exchange rates, Panel data model, Portfolio diversifications, G20 Countries

Abstract

This study investigates the relationship between stock markets and exchange rate markets in the short and long run for G20 countries by analyzing weekly stock market returns and exchange rates from January 2008 to March 2023. This study uses the CD test for testing cross-sectional dependence in all the panel series, and unit root tests are employed to verify the stationarity properties of variables. Based on the above results, the panel ARDL model and PMG estimator are used to establish the long-run and short-run cointegrating relation between the stock and exchange rate markets. We have found a stable positive relationship between the stock markets and the exchange rate of G20 countries in the long run, but a negative association was found in the short run. These findings highlight the intricate dynamics between stock markets and exchange rates and the interconnectedness of G20 nations. The robust positive long-term correlation and the short-term negative association exhibit the differential impacts of macroeconomic variables over varying time horizons

References

Agarwal, T., Kumar, S., & Singh, S. P. (2014). Factors Affecting Movement of Indian Stock Market: A Study with Special Reference to CNX Nifty. Management Dynamics, 14(2). https://doi.org/10.57198/2583-4932.1099

Ali, S., Butt, B. Z., & Rehman, K. U. (2011). Comovement Between Emerging and Developed Stock Markets: An Investigation Through Cointegration Analysis. Faculty of Business - Papers (Archive). https://ro.uow.edu.au/buspapers/1560

Baltagi, B. H., & Kao, C. (2000). Nonstationary panels, cointegration in panels and dynamic panels: A survey. Advances in Econometrics, 15, 7–51. https://doi.org/10.1016/S0731-9053(00)15002-9/FULL/XML

Breitung, J., & S. Das. (2005). Panel unit root tests under cross-sectional dependence . Statistica Neerlandica , 59, 414–433.

Carlos, J., Carlos Cuestas, J., Sophie Huang, Y., & Tang, B. (2016). Munich Personal RePEc Archive Does the Yuan’s Overseas Expansion Increase the Currency Exposure of Chinese Financial Firms? Does the Yuan’s Overseas Expansion Increase the Currency Exposure of Chinese Financial Firms? *.

Chadha, N., & Saxena, S. (2014). Co-Movements of and Linkages Between National Stock Exchange (NSE) and New York Stock Exchange (NYSE). DIAS Technology Review, 11(1). https://ssrn.com/abstract=3820647

Chai, S., Zhang, Z., Du, M., & Jiang, L. (2020). Volatility Similarity and Spillover Effects in G20 Stock Market Comovements: An ICA-Based ARMA-APARCH-M Approach. Complexity, 2020. https://doi.org/10.1155/2020/8872307

Dasgupta, R. (2014). Integration and Dynamic Linkages of the Indian Stock Market with BRIC- An Empirical Study. Asian Economic and Financial Review, 4(6), 715–731. http://www.aessweb.com/journals/5002

Dornbusch, R., Fischer, S., Dornbusch, R., & Fischer, S. (1980). Exchange Rates and the Current Account. American Economic Review, 70(5), 960–971. https://EconPapers.repec.org/RePEc:aea:aecrev:v:70:y:1980:i:5:p:960-71

Gokmenoglu, K., Eren, B. M., Hesami, S., Gokmenoglu, K., Eren, B. M., & Hesami, S. (2021). Exchange rates and stock markets in emerging economies: new evidence using the Quantile-on-Quantile approach. Quantitative Finance and Economics 2021 1:94, 5(1), 94–110. https://doi.org/10.3934/QFE.2021005

Goncalves, C., & Rodrigues, M. (2023). Missing: A correlation between exchange rate misalignment and GDP growth. Review of International Economics, 31(5), 1602–1615. https://doi.org/10.1111/ROIE.12679

Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. . Econometrics Journal , 3, 148–161.

Hsiao, C. (2014). Analysis of panel data: Third edition. Analysis of Panel Data: Third Edition, 1–539. https://doi.org/10.1017/CBO9781139839327

Jacob, T., J, L. P., & Littleflower, P. (2022). Cointegration and stock market interdependence: Evidence from India and selected Asian and African stock markets. In Theoretical and Applied Economics: Vol. XXIX (Issue 4). Winter.

Lee, C. C., Chen, M. P., & Sun, E. Y. (2017). Member states’ pact and industry co-movements in the BRICS markets. Applied Economics, 49(4), 313–334. https://doi.org/10.1080/00036846.2016.1197367

Lee, Y. M., & Wang, K. M. (2015). Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates. Economic Research-Ekonomska Istrazivanja , 28(1), 749–772. https://doi.org/10.1080/1331677X.2015.1084889

Modi, A. G., Patel, B. K., & Professor, A. (2010). The Study on Co-Movement of Selected Stock Markets. In International Research Journal of Finance and Economics. http://www.eurojournals.com/finance.htm

Mukherjee, P., & Roy, M. (2016). What Drives the Stock Market Return in India? An Exploration with Dynamic Factor Model. Journal of Emerging Market Finance, 15(1), 119–145. https://doi.org/10.1177/0972652715623681

Naeem, M. A., Chatziantoniou, I., Gabauer, D., & Karim, S. (2024). Measuring the G20 stock market return transmission mechanism: Evidence from the R2 connectedness approach. International Review of Financial Analysis, 91, 102986. https://doi.org/10.1016/J.IRFA.2023.102986

Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels (1240).

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621. https://doi.org/10.2307/2670182

Prasad, R. R., & Nair, S. K. (2021). Share Price Movement of Manufacturing Sector and Service Sector-A Comparative Case Study. International Journal of Management (IJM), 12(1), 292–302. https://doi.org/10.34218/IJM.12.1.2021.024

Roy, R. B., & Sarkar, U. K. (2013). A social network approach to change detection in the interdependence structure of global stock markets. Social Network Analysis and Mining, 3(3), 269–283. https://doi.org/10.1007/S13278-012-0063-Y/METRICS

Mollah, S., & Mobarek, A. (2016). Global Stock Market Integration: Co-Movement, Crises, and Efficiency. Springer.

Saji, T. G. (2022). Stock market linkages in Asia. Revisiting Granger causality evidences. Theoretical and Applied Economics, XXIX(3(632)), 151–168.

Siew-Pong, C., Thian-Hee, Y., & Chuan-Chew, F. (2021). Revisiting the relation between stock price and exchange rate-An asymmetric panel ARDL analysis. Economics Bulletin, 41(4), 2517–2528.

Subha, M. V, & Nambi, M. S. T. (2010). A study on Co-integration between Indian and American stock markets. JOURNAL OF CONTEMPORARY RESEARCH IN MANAGEMENT, 5(1), 105–113.

Westerlund, J. (2007). Testing for Error Correction in Panel Data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748.

Wong, W. K., Penm, J., Terrell, R. D., & Lim, K. Y. C. (2004). The relationship between stock markets of major developed countries and Asian emerging markets. Journal of Applied Mathematics and Decision Sciences, 8(4), 201–218. https://doi.org/10.1207/S15327612JAMD0804_1

Downloads

Published

2024-09-03

How to Cite

Suri, R. K., Gauba, S. ., & Chandran, A. P. (2024). Co-movements between Stock Markets and Exchange Rates: Empirical Evidence from the G20 Nations. International Journal of Finance Research, 5(3), 252 - 269. https://doi.org/10.47747/ijfr.v5i3.1934