Causal Relationship Between the BRICS Countries’ Stock Performances During COVID-19
Keywords:
BRICS; Stock value; Stock exchange; Investment decision; risk and uncertaintyAbstract
Stock market performance relationships during disease epidemics is nebulous. Objective. The objective of this paper is to analyse the causal relationship between the BRICS countries’ stock market performance during the COVID-19 period. Prior work: the paper inclines on prior work, which posits that anomalies in stock market might stimulate ripples amongst market participants. Approach: BRICS countries’ stock market data for a period of 95 days between January and May 2020 were analysed for causality using the Vector Auto-regression and the Granger Causality Wald test. Findings: Stock performance in China and India during the COVID period can predict the stock performance in Brazil during the COVID period. In addition, stock performance in Russia and South Africa can predict stock performance in India during the COVID period. Implication: the findings provide additional investment information to clarify investment risks and uncertainty for current and potential investors in BRICS countries. This paper provides important academic case study for business schools and suggests future research agenda. Value: this article contributes the first empirical analysis of causal relationship amongst the BRICS market performance during the COVID-19 pandemic.
References
Dabrowski, M and Domínguez-Jiménez, M (2020) Is COVID-19 triggering a new emerging-market crisis?,https://www.bruegel.org/2020/03/is-covid-19-triggering-a-new-emerging-market-crisis/
Dong, Z., An, H., Liu, S., Li, Z., & Yuan, M. (2020). Research on the time-varying network structure evolution of the stock indices of the BRICS countries based on fluctuation correlation. International Review of Economics & Finance,https://doi.org/10.1016/j.iref.2020.04.008
Ioan, G., & Ioan, C. A. (2011). The Equilibrium Analysis of a Closed Economy Model with Government and Money Market Sector. Acta Universitatis Danubius. Œconomica, 7(5),http://journals.univ-danubius.ro/index.php/oeconomica/article/viewFile/1091/946
Kinateder, H., Weber, K., & Wagner, N. (2019). Revisiting calendar anomalies in BRICS countries. Buletin Ekonomi Moneter dan Perbankan, 22(2), 213-236.
Kwenda, F. (2018). A panel VECM Analysis of competition, access to finance and economic growth in BRICS. Acta Universitatis Danubius. Œconomica, 14(1), 138-154.
Marinova, N. (2019). Testing Factor Models on the Stock Returns of BRICS Countries,https://opus4.kobv.de/opus4-hwr/frontdoor/index/index/docId/1987
Mehrara, M., & ali Rezaei, A. (2013). A panel estimation of the relationship between trade liberalization, economic growth and CO2 emissions in BRICS countries. Hyperion Economic Journal, 1(4), 3-27.
Movcham, A (2015) Factors limiting the impact of the BRICS nations,https://www.weforum.org/agenda/2015/07/5-factors-limiting-the-impact-of-the-brics-nations/
Mroua, M., & Trabelsi, L. (2020). Causality and dynamic relationships between exchange rate and stock market indices in BRICS countries. Journal of Economics, Finance and Administrative Science,https://doi.org/10.1108/JEFAS-04-2019-0054
Mroua, M., & Trabelsi, L. (2020). Causality and dynamic relationships between exchange rate and stock market indices in BRICS countries. Journal of Economics, Finance and Administrative Science.
Prabhakar, A. C. (2016). Trade and Economic Integration in BRICS: Towards Multi-Polarity. In Global Perspectives on Trade Integration and Economies in Transition (pp. 45-57). IGI Global.
Salisu, A. A., & Gupta, R. (2020). Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach. Global Finance Journal, 100546.
Shahbaz, M., Shahzad, S. J. H., Alam, S., & Apergis, N. (2018). Globalisation, economic growth and energy consumption in the BRICS region: the importance of asymmetries. The Journal of International Trade & Economic Development, 27(8), 985-1009.
Sharma, G., Kayal, P., & Pandey, P. (2019). Information Linkages among BRICS Countries: Empirical Evidence from Implied Volatility Indices. Journal of Emerging Market Finance, 18(3), 263-289.
Tsaurai, K., & Ngcobo, L. (2019). How relevant is financial sector development in the FDI-exports nexus in BRICS?. EuroEconomica, 38(2).
Zhou, Z., Jiang, Y., Liu, Y., Lin, L., & Liu, Q. (2019). Does international oil volatility have directional predictability for stock returns? Evidence from BRICS countries based on cross-quantilogram analysis. Economic Modelling, 80, 352-382.
Published
How to Cite
Issue
Section
License
The author fully assumes the content originality and the holograph signature makes him responsible in case of trial.