Impact of Macro Economic Variables on Stock Price Movements with Special Reference to BRIC Countries: An Empirical Review

Authors

  • B. Tamilselvan

    Research Scholar, Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, India.

  • Dr.K.T. Vijay Karthigeyan

    Associate Professor, Faculty of Management, SRMIST, Kattankulathur, Chennai, India

How to Cite

Tamilselvan , B. ., & Karthigeyan , D. V. . (2025). Impact of Macro Economic Variables on Stock Price Movements with Special Reference to BRIC Countries: An Empirical Review. International Journal of Accounting and Economics Studies, 12(SI-1), 350-355. https://doi.org/10.14419/wwt24t89

Received date: June 18, 2025

Accepted date: July 9, 2025

Published date: August 28, 2025

DOI:

https://doi.org/10.14419/wwt24t89

Keywords:

Volatility; Market Structures; Inflation; Regulation; Market Trends

Abstract

Market forces that have an impact on the economy are generally known as macroeconomic factors.  Any number of external influences, some of which are natural and others of which are man-made, may alter the trajectory of an economy.   Natural catastrophes such as earthquakes, famines, and droughts, as well as man-made events such as war, worldwide inflation, recession, and so on, are examples of such macroeconomic forces.  The rate of increase of gross domestic product (GDP), stock market movements, important industries, and other fundamental economic indicators are all affected by these variables.  As a result, knowing these elements and how they affect the economy overall is crucial. These macroeconomic variables influence stock markets by affecting corporate profitability, investor sentiment, and the overall economic outlook. Strong macroeconomic indicators can lead to a bullish market sentiment, while weak indicators can result in bearish sentiment. The relationship between stock prices and the global economy may not stay the same and can shift in line with various economic and market conditions. The present work is a descriptive review of the empirical evidences and presents the findings to establish the need for the research during post post-COVID-19 period. The reason behind, the post-pandemic period selection is the preferences, patterns, and practices of many corporates about investments have changed and thereby macroeconomic factor dynamics are also varied. In this parlance, the research can help to undergo a review of the situation and make policy changes to bring sustainability and growth into the mainstream of an economy. Hence, the paper's principal goal is to establish the need for research and identify the research gap in the area. The findings of the current paper reflects that the macroeconomic factors and stock price have a substantial correlation. movements with special reference to BRIC countries during the past decade and continue to be dynamic with corrections, suggest the role of regulatory and governments to be vigilant and dynamic in taking policy decisions from time to time based on the macroeconomic key variables, which can help to maintain the perpetual growth and sustainability of economies.

References

  1. Adeniyi, O., & Kumeka, T. (2020). Exchange rate and stock prices in Nigeria: Firm-level evidence. Journal of African Business, 21(2), 235–263.
  2. Zhang, H., & Lee, J. (2023). Post-COVID Fiscal Interventions and BRICS Capital Market Recovery. Journal of Global Economic Policy, 14(1), 88–102.
  3. Ameer, S., Nor, S. M., Ali, S., & Zawawi, N. H. M. (2023). The impact of COVID-19 on BRICS and MSCI emerging markets efficiency: Evi-dence from MF-DFA. Fractal and Fractional, 7(7), 519.
  4. Bello, W. (2015). BRICS: Competition and crisis in the global economy, Rosa-Luxemburg, Stiftung.
  5. Bhutto, S. A., Rajper, Z. A., & Kishan, J. (2020). The essentials of financial policies and interest rate shocks in downturn and upswing of stock market: A cointegration and causality analysis. International Journal of Psychosocial Rehabilitation, 24(7), 10880–10892.
  6. Boubaker, H., & Larbi, O. B. (2022). Dynamic dependence and hedging strategies in BRICS stock markets with oil during crises. Economic Anal-ysis and Policy, 76, 263–279.
  7. Chandravanshi, N., & Neetish, K. (2023). Diurnal Variations in Greenhouse Gas Emissions from a Macrophyte-Covered River. Aquatic Ecosystems and Environmental Frontiers, 1(1), 11-15.
  8. Chkili, W. (2016). Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries. Research in International Business and Finance, 38, 22–34.
  9. Chkili, W., & Nguyen, D. K. (2014). Exchange rate movements and stock market returns in a regime-switching environment: Evidence for BRICS countries. Research in International Business and Finance, 31, 46–56.
  10. Dalir, M., Abesi, S., Ahmadi, A., & Daraei, M. (2017). Developing a Strategic Planning Model using the Approach of Excellence EFQM Model (Case Study Cooperative Investment Guarantee Fund). International Academic Journal of Organizational Behavior and Human Resource Manage-ment, 4(1), 61–73.
  11. Desai, P., & Joshi, V. (2023). Bridging Traditional and Modern Medical Terminologies Integrative Perspectives from Ayurveda and Allopathy. Global Journal of Medical Terminology Research and Informatics, 1(1), 12-15.
  12. Fan, X., Liu, H., Wang, Y., Wan, Y., & Zhang, D. (2022). Models of internationalization of higher education in developing countries—A perspec-tive of international research collaboration in BRICS countries. Sustainability, 14(20), 13659.
  13. Fasanya, I. O., Adekoya, O., & Sonola, R. (2023). Forecasting stock prices with commodity prices: New evidence from Feasible Quasi Generalized Least Squares (FQGLS) with non-linearities. Economic Systems, 47, 101043.
  14. Hartigan, P. (2023). Diabetic Diet Essentials for Preventing and Managing Chronic Diseases. Clinical Journal for Medicine, Health and Pharmacy, 1(1), 16-31.
  15. Kulikova, M. V., Taylor, D. R., & Kulikov, G. Y. (2024). Evolving efficiency of the BRICS markets. Economic Systems, 48, 101166.
  16. Lafta, J. M. (2021). Britain and European Union, the Repercussions of Accession and the Effects of Secession. International Academic Journal of Social Sciences, 11(1), 05–10.
  17. Lal, S. B. (2023). The BRICS countries: Trends of demographic and economic development. International Journal of Science and Research, 12(4), 702–708.
  18. Menon, A., & Rao, I. (2024). Consumer Behavior and Brand Loyalty: Insights from the Periodic Series on Marketing and Social Psychology. In Digital Marketing Innovations, 1-6.
  19. Menon, S., & Deshpande, K. (2023). Climate-induced Migration and Its Impact on Rural Demographic Patterns. Progression Journal of Human Demography and Anthropology, 1(1), 5-8.
  20. Neethu, M. C., & Ramyaprabha, N. (2025). A Study on Tourist Push and Pull Motives to Visit Farm Tourism Sites in Kerala. Indian Journal of In-formation Sources and Services, 15(1), 1–5.
  21. Rani, R., & Kumar, N. (2019). On the causal dynamics between economic growth, trade openness and gross capital formation: Evidence from BRICS countries. Global Business Review, 20(3), 795–812.
  22. Rehman, M. U., Saleem, A., & Sági, J. (2024). Oil crisis vs. pandemic: A broader outlook of time-frequency volatility transmission between Islamic and conventional stock markets. Cogent Economics & Finance, 12(1), 2365366.
  23. Sato, S., Hirose, S., & Shikata, J. (2019). Sequential Aggregate MACs from Any MACs: Aggregation and Detecting Functionality. Journal of In-ternet Services and Information Security, 9(1), 2-23.
  24. Yildirim, Z., & Guloglu, H. (2024). Macro-financial transmission of global oil shocks to BRIC countries—International financial (uncertainty) con-ditions matter. Energy, 306, 132297.
  25. Iqbal, M., & Das, S. (2024). Structural Realignment and BRICS+ Expansion: Implications for Global Trade Flows. Emerging Markets Finance and Trade, 60(3), 210–230.
  26. Nayak, A. (2024). Design and implementation of secure hardware architectures for real-time embedded systems in adversarial environments. Elec-tronics, Communications, and Computing Summit, 2(2), 58–67.
  27. Tang, L., Chen, Y., & Zhou, J. (2025). Reconfigurable computing architectures for edge computing applications. SCCTS Transactions on Reconfig-urable Computing, 2(1), 1–9. https://doi.org/10.31838/RCC/02.01.01
  28. Madhanraj. (2025). Design and simulation of RF sensors for biomedical implant communication. National Journal of RF Circuits and Wireless Sys-tems, 2(1), 44–51.
  29. Reginald, P. J. (2025). Wavelet-based denoising and classification of ECG signals using hybrid LSTM-CNN models. National Journal of Signal and Image Processing, 1(1), 9–17.
  30. Kavitha, M. (2025). Real-time speech enhancement on edge devices using optimized deep learning models. National Journal of Speech and Audio Processing, 1(1), 1–7.
  31. Arun Prasath, C. (2025). Performance analysis of induction motor drives under nonlinear load conditions. National Journal of Electrical Electronics and Automation Technologies, 1(1), 48–54.
  32. Rahman, F., & Prabhakar, C. P. (2025). From synapses to systems: A comprehensive review of neuroplasticity across the human lifespan. Advances in Cognitive and Neural Studies, 1(1), 28–38.

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How to Cite

Tamilselvan , B. ., & Karthigeyan , D. V. . (2025). Impact of Macro Economic Variables on Stock Price Movements with Special Reference to BRIC Countries: An Empirical Review. International Journal of Accounting and Economics Studies, 12(SI-1), 350-355. https://doi.org/10.14419/wwt24t89

Received date: June 18, 2025

Accepted date: July 9, 2025

Published date: August 28, 2025