Oil price shocks, market efficiency, and volatility spillovers: Evidence from BRICS countries
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DOIhttp://dx.doi.org/10.21511/imfi.22(3).2025.05
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Article InfoVolume 22 2025, Issue #3, pp. 64-76
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Type of the article: Research Article
Abstract
This study examines the impact of crude oil price shocks on stock market efficiency and volatility spillovers across BRICS countries (Brazil, Russia, India, China, and South Africa) using 6,275 daily observations from April 1999 to March 2024. The results from unit root and Lo-Mackinlay variance ratio tests show that only Russia and India exhibit weak-form efficiency, while Brazil, China, and South Africa display inefficiencies, indicating scope for abnormal returns. Granger causality analysis confirms strong short-term interlinkages, with Brazil emerging as a leading market for Russia, India, and South Africa. Johansen’s cointegration test reveals long-term relationships among BRICS markets and with crude oil prices, suggesting limited diversification opportunities. ARCH-GARCH models and impulse response functions show significant volatility spillovers triggered by oil price shocks, lasting 2-6 trading days. Crude oil volatility affects all markets except South Africa, reflecting varying energy dependencies. These findings underscore the interconnectedness and systemic risk exposure of BRICS financial systems, with critical implications for international investors and policymakers in managing portfolio strategies and stabilizing markets.
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JEL Classification (Paper profile tab)G10, C32, G11, E44
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References33
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Tables7
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Figures1
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- Figure A1. Results of impulse response analysis
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- Table 1. Summary of key statistical metrics for BRICS stock indices (1999-2024)
- Table 2. Correlation analysis between BRICS stock indices and crude oil
- Table 3. Results of ADF, PP, and KPSS unit root tests
- Table 4. Results of Lo and Mackinlay’s variance ratio test
- Table 5. Granger causality test of crude oil and BRICS countries (log-adjusted)
- Table 6. Results of Johansen cointegration test (log series)
- Table 7. Results of ARCH- GARCH model
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