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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66358
Volume:
10 |
7 |
Jul 2026
Pages:
1-20
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Commerce department
Fr. Agnel college of Arts and Commerce Pilar Goa affiliated to Goa University
Crude oil is a vital commodity in both international and domestic economies, being the most traded commodity globally. Price movements of crude oil have profound effects on financial markets, industry performance, and exchange rate regimes. This research explores the complex relationship between crude oil prices and major financial indicators in India, such as the Nifty 50 Index, the Nifty Auto sector, the Nifty Energy sector, and the USD/INR exchange rate. Utilizing sophisticated econometric methods like correlation analysis, Ordinary Least Squares (OLS) regression, Granger causality, and the ARCH-GARCH model, this study examines a ten-year data set to evaluate the influence of crude oil price fluctuations. The results reveal strong positive correlation between crude oil prices and the Nifty 50, Nifty Auto, and Nifty Energy indices, which indicate that increases in crude oil prices stimulate growth in these market segments. On the other hand, a high negative correlation is found between crude oil prices and the USD/INR exchange rate, reflecting that oil price hikes are responsible for currency devaluation. The research also finds a one-way impact of the Nifty Auto sector and the USD/INR exchange rate on crude oil prices, which highlights possible predictive relationships. These findings have significant implications for policymakers, investors, and financial analysts as they offer greater insight into how crude oil price volatility affects market stability and exchange rate volatility. The research emphasizes the importance of risk management mechanisms in financial markets to counter the negative impacts of crude oil price shocks.
KEYWORDS
Stock market indices can be used to estimate our country's economic development. The Indian economy's performance barometer is Nifty 50. A variety of factors influence a country's economic growth, one of which is Crude Oil, which impacts the Nifty 50, Nifty Auto, Nifty Energy, and USD/INR exchange rates. The study investigates the causal relationship and impact of Crude Oil on the Nifty 50, Nifty Auto, Nifty Energy, and USD/INR exchange rates. The study is based on secondary data. The study period was from January 6, 2014, to January 9, 2024. The study employs a variety of methods, including descriptive statistics, unit root, the OLS model (regression analysis), correlation, Granger causality, and the ARCH and GARCH models. The dependent variables are Nifty 50 Index, Nifty Auto Index, Nifty Energy Index and USD/INR exchange rates. Whereas the independent variable is Crude Oil. Descriptive statistics indicate that Nifty IT returns have the highest average returns, while Crude Oil returns have the highest volatility. The kurtosis and Skewness data indicate that the variables above are not normally distributed. The unit root rejected the null hypothesis, indicating that all variables are stationary at level. The study reveals that Crude Oil returns have a significant impact on Nifty 50, Nifty Auto, and Nifty Energy returns and USD/INR exchange rate returns. Crude Oil returns have a Bi-directional causal relationship between Nifty 50 and Nifty Energy returns, but there is a Uni-directional relationship between Crude Oil returns, Nifty Auto, and the USD/INR exchange rate returns. The regression study (OLS model) indicates that Crude Oil returns have a significant impact on Nifty 50, Nifty Auto, and Nifty Energy returns, as well as a negative impact on USD/INR exchange rates. While the OLS model explains a small percentage of the variation in the dependent variables (Nifty 50, Nifty Auto, Nifty Energy, and USD/INR exchange rate returns), it sheds light on the direction and size of the relationship with Crude Oil returns. The Durbin-Watson test shows that the Nifty 50 and USD/INR exchange rate returns have no Autocorrelation. However, the Nifty Auto and Nifty Energy returns have positive Autocorrelation. The study reveals that Crude Oil returns have a significant impact on Nifty 50, Nifty Auto, and Nifty Energy returns, but no significant causal relationship is found between Crude Oil returns and USD/INR exchange rate returns.
· Abdullah, A. M. (2015). The impact of crude oil price on Islamic stock indices of South East Asian countries: Evidence from MGARCH-DCC and wavelet approaches. · Adaramola. (2011). The Impact of Macroeconomic Indicators on Stock Prices in Nigeria. · Aggarwal, P. (2019). Effect of Oil Fluctuation on Stock Market Return: An Empirical Study from India. · Akbulaev. (2022). The Effect of Energy Prices on Stock Indices in the Period of COVID-19: Evidence from Russia, Turkey, Brazil, and India. · Alamgir, F. (2021). The nexus between oil price and stock market: Evidence from South Asia. · Alqahtani, A. (2020). Crude oil and GCC stock markets New evidence from GARCH co-integration and Granger causality approaches. · Alqattan, A. A. (2016). Impact of Oil Prices on Stock Markets: Evidence from Gulf Cooperation Council (GCC) Financial Markets. · Apergis, N. (2008). Do Structural Oil-Market Shocks Affect Stock Prices? · Arnob, A. (2021). Effect of electric vehicle sales on the price of oil. · Arouri, M. E. (2012). On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness.
Publication Date
7/27/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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