Informational roles of commodity prices for monetary policy: evidence from the Euro area
This paper examines the linear and nonlinear causal relationships between commodity price indices and macroeconomic variables such as the consumer price index (CPI) and the industrial production index (IP) in the Euro zone. We use monthly time series data from January 1999 to December 2011 and employ a solid nonparametric, nonlinear causality test by Diks and Panchenko (2006) as well as the linear Granger causality test using Lag Augmented Vector Autoregression (LA-VAR) approach. Main findings of the study include: (i) Oil price only linearly Granger-causes the CPI and hence can be seen as a better information variable for the general price level than non-energy commodity price. (ii) There is a significant one-way linear causality from commodity price to IP. (iii) A significant nonlinear relationship between CPI and IP is identified by the nonparametric causality test. Such results are relevant for monetary policy makers who wish to mitigate the possible future inflation by using commodity or oil price indices as information variables.
Volume (Year): 32 (2012)
Issue (Month): 2 ()
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- Awokuse, Titus O. & Yang, Jian, 2002.
"The Informational Role Of Commodity Prices In Formulating Monetary Policy: A Reexamination,"
15834, University of Delaware, Department of Food and Resource Economics.
- Awokuse, Titus O. & Yang, Jian, 2003. "The informational role of commodity prices in formulating monetary policy: a reexamination," Economics Letters, Elsevier, vol. 79(2), pages 219-224, May.
- Shigeyuki Hamori, 2007. "The information role of commodity prices in formulating monetary policy: some evidence from Japan," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-7.
- Bekiros, Stelios D. & Diks, Cees G.H., 2008.
"The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality,"
Elsevier, vol. 30(5), pages 2673-2685, September.
- Bekiros, S. & Diks, C.G.H., 2007. "The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality," CeNDEF Working Papers 07-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Diks, Cees & Panchenko, Valentyn, 2006.
"A new statistic and practical guidelines for nonparametric Granger causality testing,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 30(9-10), pages 1647-1669.
- Diks, C.G.H. & Panchenko, V., 2004. "A new statistic and practical guidelines for nonparametric Granger causality testing," CeNDEF Working Papers 04-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Fourcans, Andre & Vranceanu, Radu, 2007. "The ECB monetary policy: Choices and challenges," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 181-194.
- Hasanov, Mübariz & Araç, Aysen & Telatar, Funda, 2010.
"Nonlinearity and structural stability in the Phillips curve: Evidence from Turkey,"
Elsevier, vol. 27(5), pages 1103-1115, September.
- Mubariz Hasanov & Aysen Arac & Funda Telatar, 2012. "Nonlinearity and Structural Stability in the Phillips Curve: Evidence from Turkey," Hacettepe University Department of Economics Working Papers 20123, Hacettepe University, Department of Economics.
- repec:ebl:ecbull:v:5:y:2007:i:13:p:1-7 is not listed on IDEAS
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
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