Determinants of Agricultural and
Mineral Commodity Prices
Jeffrey A. Frankel and Andrew K. Rose*
Updated: August 28, 2018
Abstract
Prices of most agricultural and mineral commodities rose strongly in the
l
p
ast decade, peaking sharply in
2008. Popular explanations included strong global growth (especially from China and India), easy
monetary policy (as reflected in low real interest rates or expected inflation), a speculative bubble
(resulting from bandwagon expectations)
,
and risk (possibly resulting from geopolitical uncertainties).
Motivated in part by this episode, this paper presents a theory that allows a role for macroeconomic
determinants of real commodity prices, along the lines of the “overshooting” model: the resulting model
includes global GDP and the real interest rate as macroeconomic factors. Our model also includes
microeconomic determinants; we include inventory levels, measures of uncertainty, and the spot-forward
spread. We estimate the equation in a variety of different ways, for eleven individual commodities.
Although two macroeconomic fundamentals – global output and inflation – both have positive effects on
real commodity prices, the fundamentals that seem to have the most consistent and strongest effects are
microeconomic variables: volatility, inventories, and the spot-forward spread. There is also evidence of a
bandwagon effect.
Keywords
: panel; data; empirical; GDP; real; interest; rate; volatility; inventory; spread; futures;
bandwagon; speculation.
JEL Classification
Code
s: Q11, Q39
Contact:
Jeffrey A. Frankel
Andrew K. Rose
79 JFK Street
Haas School of Business
Cambridge MA 02138-5801
Berkeley, CA 94720-1900
Tel: +1 (617) 496-3834
Tel: +1 (510) 642-6609
[email protected]
[email protected]
* Frankel is Harpel Professor, Kennedy School of Government, Harvard University and Director
of the NBER’s International Finance and Macroeconomics Program. Rose is Rocca Professor,
Economic Analysis and Policy, Haas School of Business, UC Berkeley, CEPR Research Fellow
and NBER Research Associate. This is a substantial revision of a paper presented at a pre-
conference June
15-
16,
2009 at
Westfälische Wilhelms University Münster, M
ü
ue
nster,
Germany
,
June 15, 2009
. For research assistance we thank: Ellis Connolly, Marc
Hinterschweiger, Imran Kahn and Frederico Meinberg. We thank Harry Bloch, Mike Dooley,
Mardi Dungey, Renée Fry, Don Harding, Christopher Kent, Lutz Kilian, Mariano Kulish, Marco
Lombardi, Philip Lowe, Warwick McKibbin, Simon Price, Tony Richards, Larry Schembri,
Klaus Schmidt-Hebel, Susan Thorp, Shaun Vahey, Ine van Robays, and RBA conference
0

participants for suggestions and comments. The data sets, key output, and a current version of
this paper are available on Rose’s website.


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