Commodity prices and inflation: Testing in the frequency domain
AbstractWe provide evidence for a long term, positive relation between commodity prices and inflation. However, this is only detected when frequency dependency in the regression is statistically accounted for, suggesting nonlinear dynamics between the variables. We also test whether commodity prices can be used to forecast inflation. Again relying on frequency domain methods, we indeed find support for long term causality from commodities to inflation. Moreover, the information content of commodity futures prices is robust to the effects of several financial and economic variables.
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Bibliographic InfoArticle provided by Elsevier in its journal Research in International Business and Finance.
Volume (Year): 25 (2011)
Issue (Month): 3 (September)
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Commodities Inflation Frequency domain;
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- S. Brock Blomberg & Ethan S. Harris, 1995. "The commodity-consumer price connection: fact or fable?," Economic Policy Review, Federal Reserve Bank of New York, issue Oct, pages 21-38.
- Calista Cheung, 2009. "Are Commodity Prices Useful Leading Indicators of Inflation?," Discussion Papers 09-5, Bank of Canada.
- Richard Ashley & Randal Verbrugge, 2009.
"Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series,"
Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
- Richard A. Ashley. & Randall J. Verbrugge, 2006. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Working Papers e06-7, Virginia Polytechnic Institute and State University, Department of Economics.
- Garner, C Alan, 1989. "Commodity Prices: Policy Target or Information Variable? A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(4), pages 508-14, November.
- Hyung, N. & Franses, Ph.H.B.F., 2001.
"Structural breaks and long memory in US inflation rates: do they matter for forecasting?,"
Econometric Institute Research Papers
EI 2001-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Hyung, Namwon & Franses, Philip Hans & Penm, Jack, 2006. "Structural breaks and long memory in US inflation rates: Do they matter for forecasting?," Research in International Business and Finance, Elsevier, vol. 20(1), pages 95-110, March.
- Masso, Jaan & Staehr, Karsten, 2005.
"Inflation dynamics and nominal adjustment in the Baltic States,"
Research in International Business and Finance,
Elsevier, vol. 19(2), pages 281-303, June.
- Jaan Masso & Karsten Staehr, 2005. "Inflation Dynamics And Nominal Adjustment In The Baltic States," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 35, Faculty of Economics and Business Administration, University of Tartu (Estonia).
- Jeffrey A. Frankel, 2008.
"The Effect of Monetary Policy on Real Commodity Prices,"
in: Asset Prices and Monetary Policy, pages 291-333
National Bureau of Economic Research, Inc.
- Jeffrey A. Frankel, 2006. "The Effect of Monetary Policy on Real Commodity Prices," NBER Working Papers 12713, National Bureau of Economic Research, Inc.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
- C. Alan Garner, 1995. "How useful are leading indicators of inflation?," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-18.
- Browne, Frank & Cronin, David, 2010.
"Commodity prices, money and inflation,"
Journal of Economics and Business,
Elsevier, vol. 62(4), pages 331-345, July.
- Fred Furlong & Robert Ingenito, 1996.
"Commodity prices and inflation,"
Federal Reserve Bank of San Francisco, pages 27-47.
- Stephen G Cecchetti & Richhild Moessner, 2008. "Commodity prices and inflation dynamics," BIS Quarterly Review, Bank for International Settlements, December.
- Tully, Edel & Lucey, Brian M., 2007. "A power GARCH examination of the gold market," Research in International Business and Finance, Elsevier, vol. 21(2), pages 316-325, June.
- Bhar, Ramaprasad & Hamori, Shigeyuki, 2008. "Information content of commodity futures prices for monetary policy," Economic Modelling, Elsevier, vol. 25(2), pages 274-283, March.
- Engle, Robert F, 1974.
"Band Spectrum Regression,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 1-11, February.
- Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
- 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.
- Cody, Brian J & Mills, Leonard O, 1991. "The Role of Commodity Prices in Formulating Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 358-65, May.
- Bozoklu, Seref & Yilanci, Veli, 2013. "Energy consumption and economic growth for selected OECD countries: Further evidence from the Granger causality test in the frequency domain," Energy Policy, Elsevier, vol. 63(C), pages 877-881.
- Ciner, Cetin, 2011. "Information transmission across currency futures markets: Evidence from frequency domain tests," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 134-139, June.
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