DOI :10.26650/B/SS10.2021.013.15   IUP :10.26650/B/SS10.2021.013.15    Full Text (PDF)

The Commodity Prices Shocks on Economic Activity in the Presence of a Trading Relationship: A Global VAR Analysis

Halil İbrahim Gündüz

This article uses the global vector autoregression (GVAR) approach to investigate commodity price shocks and monetary shocks. The study’s focus is on commodity price shocks that affect both the total price level and variables related to monetary policy, such as short-term interest rates. In this paper, we address this issue using a framework comprising of 26 country/region-specific models, estimated over the period 1979Q2-2016Q4, with the Euro area considered as a single economy. We contribute to the energy-macroeconomics literature by using exogenous variations in energy and non-fuel commodity prices events over time and its effects on different regions to causally identify the effects of energy and non-fuel commodity prices shocks (directly and total) on key macro-economic variables such as growth, inflation, and significant macroeconomic variables. It is seen that there are significant heterogeneities in the reactions of different countries against energy prices shocks. Australia, New Zealand, Switzerland, and the United Kingdom face a short-term drop-in economic activity in response to the UK oil price shock, while it has a growth-enhancing effect for other countries (including Turkey, the United States and the Euro zone). The results show that commodity price shocks such as oil and metal have a huge impact on the real economy, with metal prices having a greater quantitative impact on output compared to oil prices. Given these findings, macro-economic policies should take into account the changes and effects of energy and non-fuel commodity prices.


  • Aguiar-Conraria, L., & Wen, Y. (2007). Understanding the large negative impact of oil shocks. Journal of Money, Credit and Banking, 39(4), 925-944. google scholar
  • Barsky, Robert B., & Lutz Kilian. (2002). “Do We Really Know That Oil Caused the Great Stagflation? A Monetary Alternative.” In NBER Macroeconomics Annual 2001, ed. Ben S. Bernanke and Kenneth Rogoff, 137-83. Cambridge and London: MIT Press. google scholar
  • Barsky, R. B., & Kilian, L. (2004). Oil and the macroeconomy since the 1970s. Journal of Economic Perspectives, 18(4), 115-134. google scholar
  • Baxter, M., Kouparitsas, M. A. (2005). Determinants of business cycle comovement: a robust analysis. J. Monet. Econ., 52(1), 113-157. google scholar
  • Cashin, P., Mohaddes, K., & Raissi, M. (2016a). The global impact of the systemic economies and MENA business cycles. In: Elbadawi, I.A., Selim, H. (Eds.), Understanding and Avoiding the Oil Curse in Resource-rich Arab Economies. Cambridge University Press, Cambridge, pp. 16-43. google scholar
  • Cashin, P., Mohaddes, K., & Raissi, M. (2016b). China’s slowdown and global financial market volatility: is world growth losing out? IMF Working Paper WP/16/63. google scholar
  • Cashin, P., Mohaddes, K., Raissi, M., & Raissi, M. (2014). The differential effects of oil demand and supply shocks on the global economy. Energy Econ., 44, 113-134. google scholar
  • Chudik, A., & Pesaran, M. H. (2013). Econometric analysis of high dimensional VARs featuring a dominant unit. Econ. Rev., 32(5-6), 592-649. google scholar
  • Chudik, A., & Pesaran, M. H. (2016). Theory and practice of GVAR modeling. J. Econ. Surv. 30(1), 165-197. google scholar
  • Dees, S., di Mauro, F., Pesaran, M. H., & Smith, L.V. (2007). Exploring the international linkages of the Euro area: a global VAR analysis. J. Appl. Econ., 22, 1-38. google scholar
  • Hamilton, J. D. (2009). Causes and Consequences of the Oil Shock of 2007-08 (No. w15002). National Bureau of Economic Research. google scholar
  • Harbo, I., Johansen, S., Nielsen, B., & Rahbek, A. (1998). Asymptotic inference on cointegrating rank in partial systems. J. Bus. Econ. Stat. 16, 388-399. google scholar
  • Mohaddes, K., & Pesaran, M. H. (2016). Country-specific oil supply shocks and the global economy: a counterfactual analysis. Energy Econ, 59, 382-399. google scholar
  • Johansen, S. (1992). Cointegration in partial systems and the efficiency of single-equation analysis. J. Econ. 52(3), 389-402. google scholar
  • Lee, K. C., & Pesaran, M. H. (1993). Persistence profiles and business cycle fluctuations in a disaggregated model of UK output growth. Ricerche Economiche, 47(3), 293-322. google scholar
  • Kapetanios, G., & Pesaran, M. H. (2007). Alternative approaches to estimation and inference in large multifactor panels: small sample results with an application to modelling of asset returns. In: Phillips, G., Tzavalis, E. (Eds.), The Refinement of Econometric Estimation and Test Procedures: Finite Sample and Asymptotic Analysis. Cambridge University Press, Cambridge. google scholar
  • Kilian, L. (2008). The economic effects of energy price shocks. Journal of Economic Literature, 46(4), --909. google scholar
  • Pesaran, M. H., & Shin, Y. (1996). Cointegration and speed of convergence to equilibrium. Journal of econometrics, 71(1-2), 117-143. google scholar
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (1996). Testing for the ‘Existence of a Long-run Relationship’ (No. 9622). Faculty of Economics, University of Cambridge. google scholar
  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2000). Structural analysis of vector error correction models with exogenous I (1) variables. Journal of Econometrics, 97(2), 293-343. google scholar
  • Pesaran, M. H., Schuermann, T., & Weiner, S. M. (2004). Modeling regional interdependencies using a global error-correcting macroeconometric model. Journal of Business & Economic Statistics, 22(2), 129-162. google scholar
  • Smith, L., Galesi, A. (2014). GVAR Toolbox 2.0. University of Cambridge: Judge Business School. google scholar
  • Svensson, L. E. (2005). Oil prices and ECB monetary policy. Committee on Economic and Monetary Affairs, 1-4. google scholar


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