INTRODUCTION:

The powerful growing economies known as BRICS (Brazil, Russia, India, China, and South Africa) have an increasing impact on the global financial landscape. These nations are regarded by international investors as key players because of their prospective markets and quick economic expansion. Both domestic and foreign investors looking for portfolio diversification and risk hedging options must comprehend how their stock markets are integrated. The study aims to explore the short-term integration of the Indian stock market with its BRICS peers. It focuses to determine how much various markets react to similar global shocks and move in unison. Because of their potential for investment and quick expansion, the BRICS economies have emerged as significant players in the global financial system. Examining India's short-term stock market integration with the other BRICS countries, this study focuses on the country with the greatest population and one of the fastest-growing economies. For investors looking to diversify and manage risk, as well as for policymakers keeping an eye on the impact of the global economy, it is essential to comprehend the degree of interconnectedness.

Investment flows within the BRICS markets are influenced by the short-term integration of stock markets, which is frequently fueled by regional trade policies, global economic policies, and commodity price volatility. Previous research (e.g., Bekaert and Harvey, 1995; Kumar, 2013; Singh and Joshi, 2022) has focused on long-term integration, but less attention has been paid to short-term interdependencies, particularly in reaction to rapid external economic shocks. This research addresses this gap by examining how the Indian stock market's short-term dynamics compare to those of other BRICS nations.

LITERATURE REVIEW:

Recent studies highlight the complex interplay between global economic events and emerging markets. For instance, Bekaert and Harvey (1995) discuss time-varying market integration in developed and emerging markets, while Kumar (2013) investigates BRICS markets’ co-movements. Singh and Joshi (2022) expand on this by exploring global financial integration trends within BRICS economies. However, limited research exists on the short-term effects of geopolitical events and commodity price shifts on these markets. This paper aims to address this gap by examining short-term integration, with particular focus on how external shocks impact Indian stock market dynamics in relation to its BRICS peers.

Other recent research, such as Chittedi (2015), emphasise the importance of external economic variables such as commodity prices, while Mensi et al. (2020) concentrate on geopolitical risk and its effects on emerging market volatility. In order to give investors and policymakers a complete picture, these studies collectively highlight how crucial it is to look at both short-term and long-term market connections.

METHODOLOGY:

Data and Time Period:

Daily stock returns data for the NIFTY 50 (India), IBOVESPA (Brazil), MOEX (Russia), SSE Composite (China), and JSE All Share Index (South Africa) has been utilized for the study period ranging from July 2024 to September 2024.

Analytical Framework:

The study employed two key methods for meeting the purpose of the study. Correlation analysis has been utilized for determining the degree of short-term co-movement between the Indian market and other BRICS markets. Cointegration Tests (Engle-Granger) has been used for assessing whether these markets share a long-term equilibrium relationship, with a focus on short-term dynamics. Given the short time frame examined, this study represents a starting look into BRICS integration, with further research encouraged to prolong the timeframe and employ models such as Vector Error Correction Models (VECM) or Dynamic Conditional Correlation (DCC) GARCH models to gain more thorough understanding.

RESULTS:

Correlation Analysis

Table 1 provides summary of the correlation values between the Indian stock market (NIFTY 50) and the BRICS market.

Table 1: Correlation Analysis between Indian and BRICS Markets

Country	Correlation with NIFTY 50
Brazil	0.30
Russia	0.35
China	0.65
South Africa	0.58

Source: Author’s own work.

During the time period analyzed, preliminary correlation analysis revealed moderate linkages between the Indian stock market and the other BRICS economies. India and China had the strongest association (0.65), followed by India and South Africa (0.58). However, the Indian market’s correlation with Russia and Brazil was lower, at 0.35 and 0.30 respectively, possibly reflecting the different economic and political dynamics in these nations.

Cointegration Tests:

Table 2 provides the summary of Cointegration test results of Indian and BRICS market. It also highlights which external factors most influence short-term market dynamics.

Table 2: Cointegration and External Influences on Indian and BRICS Markets

Pairwise Markets	Cointegration (Yes/No)	Short-term Dynamics	Significant External Influence
India-Brazil	No	Weak	Oil Prices
India-Russia	No	Moderate	Energy Markets
India-China	No	Strong	Trade Ties
India-South Africa	No	Moderate	Commodity Prices

Source: Author’s own work.

Cointegration tests revealed a lack of long-term integration between the Indian and BRICS markets. However, short-term dynamics indicated that these markets are significantly impacted by external shocks, especially those associated with global oil prices and geopolitical tensions. For example, because to their exposure to the energy industry, the Indian, Russian, and Brazilian markets temporarily aligned in August 2024 when global oil prices surged.

DISCUSSION:

The study's findings show that BRICS stock markets have limited short-term integration, with larger ties identified between India and China. The varying correlation values show different economic and structural reasons in each BRICS country. Notably, China and India have stronger market links because to their commerce, but Brazil and Russia have lesser co-movements because of their reliance on commodities, in contrast to India's diverse economy. This distinction highlights both the potential for diversification and the difficulties in risk management, as these markets are disproportionately impacted by outside shocks like as fluctuations in the price of oil. These findings suggest that investors might take advantage of these short-term connections to diversify their portfolios and reduce risk.

Future research might use dynamic models, such as the DCC-GARCH, to capture changing associations over time. Furthermore, research that incorporate real-time geopolitical and socioeconomic data might offer further insightful information, given the possibility that exogenous shocks might disrupt integration patterns.

CONCLUSION:

The analysis revealed that there is a moderate degree of short-term integration between the Indian stock market and the stock markets of the BRICS countries. While some markets, such as China and South Africa, have deeper links to India, others, such as Brazil and Russia, have weaker ties. The restricted short-term integration offers opportunities for portfolio diversification, particularly for investors looking to reduce the risks associated with global economic shocks. Further investigation into the long-term integration dynamics between these markets should build on these findings by employing more advanced econometric methodologies and longer time periods.

CONFLICT OF INTEREST:

The author declares that there is no conflict of interest.

REFERENCES:

1. Bekaert, G., and Harvey, C. R. Time-varying world market integration. Journal of Finance. 1995; 50(2): 403-444.

2. Kumar, M. Integration of Indian stock market with BRICS markets: A multivariate cointegration approach. International Journal of Financial Research. 2013; 4(2): 112-123.

3. Singh, A., and Joshi, P. Global financial integration and emerging markets: Insights from BRICS economies. Journal of Emerging Market Finance. 2022; 21(1): 35-52.

4. Chittedi, K. R. Global stock markets development and integration: With special reference to BRICS nations. Journal of Financial Economic Policy. 2015; 7(3): 220–244.

5. Mensi, W., Hammoudeh, S., and Yoon, S. M. Dynamic spillovers between BRICS stock markets and global factors. International Review of Financial Analysis. 2020; 68: 101319.

6. Liow, K. H., and Chen, Z. Time-varying integration between stock markets and economic fundamentals in BRICS. Applied Economics. 2018; 50(3): 302–313.

Received on 14.11.2024 Revised on 04.12.2024

Accepted on 15.12.2024 Published on 18.12.2024

Available online on December 27, 2024

Int. J. Ad. Social Sciences. 2024; 12(4):216-218.

DOI: 10.52711/2454-2679.2024.00034

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