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Published in: Empirical Economics 4/2016

02-01-2016

Cyclical non-stationarity in commodity prices

Authors: Atle Oglend, Frank Asche

Published in: Empirical Economics | Issue 4/2016

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Abstract

This paper applies the Hylleberg et al. (J Econom 44(1):215–238, 1990) parametric seasonal unit root test to test for cyclical non-stationarity in commodity prices. The testing procedure is simple and involves evaluating various linear restrictions on lagged price levels in an error correction model of prices, equivalent to the Augmented Dickey–Fuller test. Unit root behaviour at low frequencies implies cyclical non-stationarity. In our empirical application, we fail to reject unit roots at frequencies associated with 3- to 5-year-long price cycles for 7 of 16 major commodities. Our results suggest that longer cycles in many commodity prices are highly stochastic, and care should be taken when interpreting the regularity and out-of-sample predictability of such cycles using historical price movements.

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Appendix
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Footnotes
1
El Nino is a weather pattern that strongly influence biomass growth in the Chilean and Peruvian fisheries that makes up about 50 % of the global supply of fishmeal (Asche et al. 2012).
 
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Metadata
Title
Cyclical non-stationarity in commodity prices
Authors
Atle Oglend
Frank Asche
Publication date
02-01-2016
Publisher
Springer Berlin Heidelberg
Published in
Empirical Economics / Issue 4/2016
Print ISSN: 0377-7332
Electronic ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-015-1060-6

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