Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data

C-Tier
Journal: Economics Letters
Year: 2019
Volume: 181
Issue: C
Pages: 90-94

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:eee:ecolet:v:181:y:2019:i:c:p:90-94
Journal Field
General
Author Count
3
Added to Database
2026-01-26