DEEP DIVE INTO COMMODITY MARKETS: EXPLORING THE COMMODITY–INDUSTRIAL PRODUCTION NEXUS
DOI:
https://doi.org/10.15173/esr.v21i2.2772Keywords:
Cointegration, Commodities, Industrial Production, Structural BreakAbstract
This article explores the commodity–industrial production nexus. More precisely, we assess the cointegration relationships between commodity markets and industrial production during 1993-2011, with an overview for several countries: the USA, the EU, Australia, China, Brazil, Canada, Germany. First, we explore the descriptive statistics and unit root tests of the dataset. Second, we develop two kinds of cointegration analyses (e.g. with/without structural break) between commodities on the one hand, and industrial production indices on the other hand. Third, we conclude on the main results achieved by this econometric procedure. The key contribution of our paper is to revisit the link between industrial production and commodity prices, by using an econometric methodology incorporating structural breaks, and by using a very recently updated dataset. By carrying out a systematic comparison between our results and papers previously published in this literature, we gain a wealth of insights.
References
Awokuse, TO., Yang, J. 2003. T he informational role of commodity prices in formulating monetary policy: a reexamination. Economics Letters 79:219-224
Ai, C., Chatrath, A., Song, F. 2006. On the comovement of commodity prices. American Journal of Agricultural Economics 88(3):574-588
Andrade, P., Bruneau, C. 2000. Cointegration with structural breaks: from the single equation analysis to the multivariate approach with application to US money demand. In 8th World Congress of the Econometric Society, Econometric Society, USA. Available at:
http://www.econometricsociety.org/meetings/wc00/pdf/1605.pdf
Arranz, MA., Escribano, A. 2000. Cointegration testing under structural breaks: A robust extended error correction model. Oxford Bulletin of Economics and Statistics 62(1), 23-52.
Bhar, R., Hamori, S. 2008. Information content of commodity futures prices for monetary policy. Economic Modelling 25:274-283
Bloch, H., Dockery, AM., Sapsford, D. 2004. Commodity prices, wages, and U.S. inflation in the twentieth century. Journal of Post Keynesian Economics 26(3):523-545
Bloch, H., Dockery, AM., Sapsford, D. 2006. Commodity Prices and the Dynamics of Inflation in Commodity-Exporting Nations: Evidence from Australia and Canada. Economic Record 82:S97-S109
Cheung, C., Morin, S. 2007. The Impact of Emerging Asia on Commodity Prices. Bank of Canada, Working Paper #2007-55, Canada
Cody, BJ., Mills, LO. 1991. The Role of Commodity Prices in Formulating Monetary Policy. Review of Economics and Statistics 73(2):358-365
Cunado, J., de Gracia, FP., 2003. Do oil price shocks matter? Evidence for some European countries. Energy Economics 25:137-154
Dickey, DA., Fuller, WA. 1981. Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica 49:1057-1072
Greene, WH. 2011. Econometric Analysis. Prentice Hall, 7 edition, USA
Hamilton, JD. 1996. Time Series Analysis. Princeton University Press, USA
Hamori, S. 2007. The information role of commodity prices in formulating monetary policy: some evidence from Japan. Economics Bulletin 5(13):1-7
Hua, P. 1998. On Primary Commodity Prices: The Impact of Macroeconomic/Monetary Shocks. Journal of Policy Modeling 20(6):767-790
Johansen, S., Juselius, K. 1990. Maximum likelihood estimation and the demand for money inference on cointegration with application. Oxford Bulletin of Economics and Statistics 52:169-210
Johansen, S. 1988. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control 12:231-254
Johansen, S. 1991. Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica 59:1551-1580
Kwiatkowski, DP., Phillips, PCB., Schmidt, P., Shin, Y. 1992. Testing the Null Hypothesis of Stationnarity Against the Alternative of the Unit Root: How Sure are we that Economic Time Series are Non Stationary? Journal of Econometrics 54:159-178
Labys, WC., Maizels, A. 1993. Commodity Price Fluctuations and Macro-economic Adjustments in the Developed Countries. Journal of Policy Modeling 15(3):335-352
Labys, WC., Achouch, A., Terraza, M. 1999. Metal prices and the business cycle. Resources Policy 25:229-238
Lütkepohl, H., Saikkonen, P., Trenkler, C. 2004. Testing for the cointegrating rank of a VAR with level shift an unknown time. Econometrica 72:647-662
Pfaff, B. 2008. Analysis of Integrated and Cointegrated Time Series with R. Springer, New York Dordrecht Heidelberg London, UK
Phillips, PCB., Peron, P. 1988. Testing for a unit root in time series regression. Biometrika 75:335-346
Pieroni, L., Ricciarelli, M. 2005. Testing rational expectations in primary commodity markets. Applied Economics 37:1705-1718
Trenkler, C. 2003. A new set of critical values for systems cointegration tests with a prior adjustment for deterministic terms. Economics Bulletin 3:1-9
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