Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Do Brent Crude Oil, Nifty 50 and USD/INR Exchange Rate Walk Together? An ARDL-bounds Testing Approach


Affiliations
1 Jamia Millia Islamia, Central University, New Delhi, India
     

   Subscribe/Renew Journal


The volatility in oil prices has a different impact on countries due to various factors such as their relative position as oil importers or exporters, demand and supply factors, their relative elasticity, the ability to substitute with energy efficient products, different tax structures etc. It affects the stock market and exchange rate. This volatility in prices of oil renders more impact in emerging nations such as India. The paper attempts to study the comovement of Brent Crude oil prices and Nifty 50 and USD/INR exchange rate. The sample period from 5th September 2014 to 12th February 2018 comprising of daily data on all three variables are taken. Further, the Auto-Regressive Distributed Lag (ARDL) model was used for estimating long run cointegration. For short run dynamics, Vector Auto-Regressive (VAR) model was put. The results exhibit an equilibrium relationship among the variables understudy in the long run. The results of the VAR model affirm the importance of Brent Crude, Nifty 50 lagged prices influence Exchange Rate.

Keywords

VAR, Brent Crude Oil, Stock Market, ARDL, Exchange Rate.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Amano, R. A., & Norden, S. van. (1998). Oil prices and the rise and fall of the US real exchange rate. Journal of International Money and Finance, 17(2), 299–316. https://doi.org/10.1016/S02615606(98)00004-7.
  • Bahmani-Oskooee, M., & Saha, S. (2018). On the relation between exchange rates and stock prices: A non-linear ARDL approach and asymmetry analysis. Journal of Economics and Finance, 42 (1), 112–137. https://doi.org/10.1007/s12197-017-9388-8.
  • Basher, S. A., Haug, A. A., & Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34(1), 227–240. https://doi.org/10.1016/j.eneco.2011.10.005.
  • Brahmasrene, T., Huang, J. C., & Sissoko, Y. (2014). Crude oil prices and exchange rates: Causality, variance decomposition and impulse response. Energ y Economics, 44, 407–412. https://doi.org/10.1016/j.eneco.2014.05.011.
  • Broadstock, D. C., & Filis, G. (2014). Oil price shocks and stock market returns: New evidence from the United States and China. Journal of International Financial Markets, Institutions and Money, 33, 417–433. https://doi.org/10.1016/j.intfin.2014.09.007.
  • Chaudhuri, K., & Daniel, B. C. (1998). Long-run equilibrium real exchange rates and oil prices. Economics Letters, 58(2), 231–238. https://doi.org/10.1016/S0165-1765(97)00282-6.
  • Chittedi, K. R. (2012). Do oil prices matters for Indian stock markets ? An empirical analysis. Journal of Applied Economics and Business Research, 2(1), 2–10.
  • Ding, L., & Vo, M. (2012). Exchange rates and oil prices: A multivariate stochastic volatility analysis. Quarterly Review of Economics and Finance, 52(1), 15–37. https://doi.org/10.1016/j.qref.2012.01.003.
  • Bouri, E., Jain, A., Biswal, P.C., & Roubaud, D. (2017). Cointegration and nonlinear causality amongst gold, oil, and the Indian stock market: Evidence from implied volatility indices. Resources Policy, 52, 201-206. https://doi.org/10.1016/j.resourpol.2017.03.003.
  • Fang, C.-R., & You, S.-Y. (2014). The impact of oil price shocks on the large emerging countries’ stock prices: Evidence from China, India and Russia. International Review of Economics & Finance, 29(May 2004), 330–338. https://doi.org/10.1016/j.iref.2013.06.005.
  • Filis, G. (2010). Macroeconomy, stock market and oil prices: Do meaningful relationships exist among their cyclical fluctuations? Energy Economics, 32(4), 877–886. https://doi.org/10.1016/j.eneco.2010.03.010.
  • Filis, G., Degiannakis, S., & Floros, C. (2011). Dynamic correlation between the stock market and oil prices: The case of oil-importing and oil-exporting countries. International Review of Financial Analysis, 20(3), 152–164. https://doi.org/10.1016/j.irfa.2011.02.014.
  • Ghosh, S., & Kanjilal, K. (2016). Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests. Energy Economics, 53(2016), 111–117. https://doi.org/10.1016/j.eneco.2014.11.002.
  • Gokmenoglu, K. K., & Fazlollahi, N. (2015). The interactions among gold, oil, and stock market: Evidence from S& P500. Procedia Economics and Finance, 478–488 . https://doi.org/10.1016/S2212-5671(15)00760-1.
  • 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.
  • Kilian, L., & Park, C. (2009). The impact of oil price shocks on the US stock market. International Economic Review, 50(4), 1267–1287. https://doi.org/10.1111/j.1468-2354.2009.00568.x.
  • Kisswani, K., A. Harraf., & A. Kisswani. (2018). Revisiting the effects of oil prices on exchange rate: Asymmetric evidence from the ASEAN-5 countries. Economic Change and Restructuring, 52(3), 270-300. doi:10.1007/s10644-018-9229-6.
  • Nejad, M.K., Jahantigh F., & Rahbari, H. (2016). The long run relationship between oil price risk and Tehran stock exchange returns in the presence of structural breaks. Procedia Economics and Finance, 36, 201-209. https://doi.org/10.1016/S2212-5671(16)30031-4.
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616.
  • Sari, R., Hammoudeh, S., & Soytas, U. (2010). Dynamics of oil price, precious metal prices, and exchange rate. Energy Economics, 32(2), 351–362. https://doi.org/10.1016/j.eneco.2009.08.010.
  • Siddiqui, S.& Seth, N. (2015). Do global oil price changes affect Indian stock market returns?. Journal of Management & Public Policy,6(2), 29-41.
  • Siddiqui, S. (2017). Historical fall in crude oil prices and volatility spillover to selected Asian stock markets. Pacific Business Review International, 10(1), 23–31.
  • Siddiqui, S., & Gaur, A. (2018). Probing time-varying conditional correlation between crude oil and sensex, Flexible Strategies in VUCA Markets, Springer, 157–165.
  • Tiwari, A. K., & Albulescu, C. T. (2016). Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests. Applied Energy, 179, 272–283. https://doi.org/10.1016/j.apenergy.2016.06.139.
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250. https://doi.org/10.1016/03044076(94)01616-8.
  • Tudor, C., & Popescu-Dutaa, C. (2012). On the causal relationship between stock returns and exchange rates changes for 13 developed and emerging markets. Procedia - Social and Behavioral Sciences, 57, 275–282. https://doi.org/10.1016/j.sbspro.2012.09.1186.
  • Turhan, M. I., Sensoy, A., & Hacihasanoglu, E. (2014). A comparative analysis of the dynamic relationship between oil prices and exchange rates. Journal of International Financial Markets, Institutions and Money, 32(1), 397–414. https://doi.org/10.1016/j.intfin.2014.07.003.
  • Wang, Y., Wu, C., & Yang, L. (2013). Oil price shocks and stock market activities: Evidence from oilimporting and oil-exporting countries. Journal of Comparative Economics, 41(4), 1220–1239. https://doi.org/10.1016/j.jce.2012.12.004.

Abstract Views: 469

PDF Views: 0




  • Do Brent Crude Oil, Nifty 50 and USD/INR Exchange Rate Walk Together? An ARDL-bounds Testing Approach

Abstract Views: 469  |  PDF Views: 0

Authors

Saif Siddiqui
Jamia Millia Islamia, Central University, New Delhi, India
Preeti Roy
Jamia Millia Islamia, Central University, New Delhi, India

Abstract


The volatility in oil prices has a different impact on countries due to various factors such as their relative position as oil importers or exporters, demand and supply factors, their relative elasticity, the ability to substitute with energy efficient products, different tax structures etc. It affects the stock market and exchange rate. This volatility in prices of oil renders more impact in emerging nations such as India. The paper attempts to study the comovement of Brent Crude oil prices and Nifty 50 and USD/INR exchange rate. The sample period from 5th September 2014 to 12th February 2018 comprising of daily data on all three variables are taken. Further, the Auto-Regressive Distributed Lag (ARDL) model was used for estimating long run cointegration. For short run dynamics, Vector Auto-Regressive (VAR) model was put. The results exhibit an equilibrium relationship among the variables understudy in the long run. The results of the VAR model affirm the importance of Brent Crude, Nifty 50 lagged prices influence Exchange Rate.

Keywords


VAR, Brent Crude Oil, Stock Market, ARDL, Exchange Rate.

References