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Article
Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data
Economics Letters
  • Adam Zaremba, Poznań University of Economics and Business
  • Zaghum Umar, Zayed University
  • Mateusz Mikutowski, Poznań University of Economics and Business
Document Type
Article
Publication Date
8-1-2019
Abstract

© 2019 Elsevier B.V. We perform a test of the inflation hedging properties of commodities on the longest data series ever used for this purpose. We apply wavelet analysis to commodity prices and inflation data from the United Kingdom for the years 1265 through 2017, to detect co-movement across different times and frequencies. We demonstrate robust inflation hedging properties of agricultural, energy, and industrial commodities for the 4- to 8-year horizon through almost the entire seven centuries.

Publisher
Elsevier B.V.
Disciplines
Keywords
  • Commodity markets,
  • Early commodity prices,
  • Inflation hedging,
  • Wavelet analysis
Scopus ID
85065536981
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1016/j.econlet.2019.05.002
Citation Information
Adam Zaremba, Zaghum Umar and Mateusz Mikutowski. "Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data" Economics Letters Vol. 181 (2019) p. 90 - 94 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0165-1765" target="_blank">0165-1765</a>
Available at: http://works.bepress.com/zaghum-umar/32/