The Causal Relationship Between Volatility in Crude Oil Price, Exchange Rate, and Stock Price in India : GARCH Estimation of Spillover Effects
DOI:
https://doi.org/10.17010/ijrcm/2021/v8i3/167954Keywords:
Oil Price
, Exchange Rate, Stock Market, Volatility, Causal Effect, GARCH Estimation.JEL Classification Codes
, B23, C22, C58, E44.Paper Submission Date
, May 13, 2021, Paper Sent Back for Revision, July 6, Paper Acceptance Date, July 20, 2021.Abstract
The macroeconomic variable: crude oil price, gold price, exchange rate, inflation, and stock returns are highly volatile and are highly correlated to each other. The volatility in one market spills over to other markets. This paper examined the dynamic causality between crude oil price, exchange rate, and BSE Sensex and their volatilities in India. The daily data on macro variables for 14 years between January 2006 and March 2019 were used in the GARCH estimation of causal effects of volatility spillovers. The GARCH estimates showed that one market’s volatility and volatility spillover caused volatility and volatility spillovers in other markets in India. Crude oil price, exchange rate volatility, and volatility spillovers caused volatility in the BSE Sensex. The volatility in BSE Sensex was highly overdone by internal shocks of the stock market.Downloads
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Ali, R., Mangla, I.U., Rehman, R.U., Xue, W., Naseem, M.A., & Ahmad, M.I. (2020). Exchange rate, gold price, and stock market nexus: A quantile regression approach. Risks, 8(3), 86. https://doi.org/10.3390/risks8030086
Amudha, R., & Muthukamu, M. (2018). Modeling symmetric and asymmetric volatility in the Indian stock market. Indian Journal of Finance, 12(11), 23–36. https://doi.org/10.17010/ijf/2018/v12i11/138196
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1
Engle, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Ghosh, S. (2011). Examining crude oil price - exchange rate nexus for India during the period of extreme oil price volatility. Applied Energy, 88(5), 1886–1889. https://doi.org/10.1016/j.apenergy.2010.10.043
Hussain, M. M., Hussain, H., & Atif, M. (2019). Relationship between equity returns, exchange rate and crude oil price: Evidence from India. Think India Journal, 22(4), 7520–7527. https://thinkindiaquarterly.org/index.php/think-india/article/view/10224
Jain, A., & Biswal, P.C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179–185. https://doi.org/10.1016/j.resourpol.2016.06.001
Kumar, A., & Khanna, S. (2018). GARCH - BEKK approach to volatility behavior and spillover: Evidence from India, China, Hong Kong, and Japan. Indian Journal of Finance, 12(4), 7–19. https://doi.org/10.17010/ijf/2018/v12i4/122791
Mishra, S., & Debasish, S.S. (2016). Analysis of volatility spillover between oil price and exchange rate in India: GARCH approach. SCMS Journal of Indian Management, 13(4), 95–102. https://www.scms.edu.in/past_issues/article?journal_id=52
Mohanamani, P., Preethi, & Latha, S. L. (2018). Dynamic linkage between gold, oil, exchange rate and stock market returns: Evidence from India. International Journal of Pure and Applied Mathematics, 119(17), 2567–2580. https://acadpubl.eu/hub/2018-119-17/3/212.pdf
Nirmala, S., & Deepthy, K. (2018). Volatility modeling of commodity markets in India: Application of selected GARCH models. Indian Journal of Research in Capital Markets, 5(4), 27–37. https://doi.org/10.17010/ijrcm/2018/v5/i4/130137
Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrica, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
Sahu, T.N., Bandopadhyay, K., & Mondal, D. (2014). Crude oil price, exchange rate and emerging stock market: Evidence from India. Jurnal Pengurusan (UKM Journal of Management), 42, 75–87. https://ejournal.ukm.my/pengurusan/article/view/9212
Sathyanarayana, S., Harish, S. N., & Gargesha, S. (2018). Volatility in crude oil prices and its impact on Indian stock market: Evidence from BSE Sensex. SDMIMD Journal of Management, 9(1), 65–76. https://doi.org/10.18311/sdmimd/2018/19997
Singh, V. K., & Ahmad, N. (2011). Modeling S&P CNX Nifty index volatility with GARCH class volatility models: Empirical evidence from India. Indian Journal of Finance, 5(2), 34–47. http://www.indianjournaloffinance.co.in/index.php/IJF/article/view/72531
Sujit, K. S., & Kumar, B.R. (2011). Study on dynamic relationship among gold price, oil price, exchange rate, and stock market returns. International Journal of Applied Business and Economic Research, 9 (2),145–165. https://www.researchgate.net/publication/287429206_Study_on_dynamic_relationship_among_gold_price_oil_price_exchange_rate_and_stock_market_returns
Ugurlu, E. (2014). Modelling volatility: Evidence from the Bucharest stock exchange. Journal of Applied Economic Sciences, 9(4 – 30), 718–727. https://dx.doi.org/10.2139/ssrn.3476403