Commodity prices and inflation: Testing in the frequency domain

Research in International Business and Finance

Volumn 25, Issue 3, 2011, Pages 229-237

  Ciner, Cetin ^a  

^a UNIVERSITY OF NORTH CAROLINA WILMINGTON   (United States)

Author keywords

Commodities; Frequency domain; Inflation

Indexed keywords

EID: 79952230536     PISSN: 02755319     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ribaf.2011.02.001     Document Type: Article

References (28)

1. Ashley R., Verbrugge R. Frequency dependence in regression model coefficients: an alternative approach to model nonlinear dynamic relationships in time series. Economet. Rev. 2009, 28:4-20.
2. Awokuse T.O., Yang J. The information role of commodity prices in formulating monetary policy: a re-examination. Econ. Lett. 2003, 79:219-224.
3. Bhar R., Hamori S. Information content of commodity futures prices for monetary policy. Econ. Model. 2008, 25:274-283.
4. Bloomberg S.B., Harris E.S. The commodity-consumer prices connection: fact or fable?. Fed. Reserve Bank N.Y. Econ. Rev. 1995, 21-38.
5. Breitung J., Candelon B. Testing for short- and long-run causality: a frequency-domain approach. J. Economet. 2006, 132:363-378.
6. Browne F., Cronin D. Commodity prices, money and inflation. J. Econ. Bus. 2010, 62:331-345.
7. Cecchetti S.G., Moessner R. Commodity prices and inflation dynamics. BIS Quart. Rev. 2008, 55-64.
8. Cheung, C., 2009. Are commodity prices useful leading indicators of inflation? Working Paper, Bank of Canada.
9. Cody B.J., Mills L.O. The role of commodity prices in formulating monetary policy. Rev. Econ. Stat. 1991, 73:358-365.
10. Engle R. Band spectrum regression. Int. Econ. Rev. 1974, 15:1-11.
11. Frankel, J.A., 2006. The effect of monetary policy on real commodity prices. NBER Working Paper, No. W12713.
12. Frankel J.A. Expectations and commodity price dynamics: the overshooting model. Am. J. Agric. Econ. 1986, 344-348.
13. Furlong F., Ingenito R. Commodity prices and inflation. Fed. Reserve Bank San Francisco Econ. Rev. 1996, 2:27-46.
14. Garner A.C. Commodity prices: policy target or information variables?. J. Money Credit Bank. 1989, 21:508-514.
15. Garner A.C. How useful are leading indicators of inflation. Fed. Reserve Bank Kansas City Econ. Rev. 1995, 7-22.
16. Geweke J. Measurement of linear dependence and feedback between multiple time series. J. Am. Stat. Assoc. 1982, 77:304-324.
17. Gorton G., Rouwenhorst K.G. Facts and fantasies about commodity futures. Finance Analysts J. 2006, 62:47-68.
18. Granger C.W.J. Investigation causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
19. Hannan E. Regression for time series. Time Series Analysis 1963, John Wiley, New York, p. 14.37. M. Rosenblatt (Ed.).
20. Hosoya Y. Elimination of third-series effect and defining partial measures of causality. J. Times Series Anal. 2001, 22:437-554.
21. Hyung N., Franses P.H., Penm J. Structural breaks and long memory in US inflation rates: do they matter for forecasting?. Res. Int. Bus. Finance 2006, 20:95-110.
22. Kyrtsou C., Labys W.C. Evidence for chaotic dependence between US inflation and commodity prices. J. Macroecon. 2006, 28:256-266.
23. Marquis M.H., Cunningham S.R. Is there a role for commodity prices in the design of monetary policy? Some empirical evidence. Southern Econ. J. 1990, 57:169-209.
24. Masso J., Staeher K. Inflation dynamics and nominal adjustment in the Baltic states. Res. Int. Bus. Finance 2005, 19:281-303.
25. Saikkonen P., Lutkepohl H. Infinite order cointegrated vector autoregressive processes: estimation and inference. Economet. Theory 1996, 12:814-844.
26. Tan H.B., Ashley R. On the inherent nonlinearity of frequency dependent time series relationships. Nonlinear Time Series Analysis of Economic and Financial Data 1999, 129-142. Kluwer Academic Publishers, Norwell. P. Rothman (Ed.).
27. Tully E., Lucey B.M. A Power GARCH examination of the gold market. Res. Int. Bus. Finance 2007, 21:316-325.
28. Verheyen, F., 2010. Monetary policy, commodity prices and inflation: Empirical evidence from the US, Ruhr Economic Papers #216. Ruhr-Universitat Bochum.