Commodity prices redux: A global factor story

In this study, we novelly employ a Bayesian Dynamic Factor Model (BDFM) and a Factor-Augmented Vector Autoregressive (FAVAR) model to investigate the relatively under-explored phenomenon of cross-commodity price synchronisation and the factors driving comovement in commodity prices. Our findings indicate that macroeconomic and financial factors are key determinants of world commodity prices, whereas uncertainty plays a comparatively minor role, accounting for less than 10% initially and remaining below 20% at longer horizons. At the level of commodity group prices, however, uncertainty becomes significantly more important, with its contribution exceeding one-third of the variance at longer horizons across all commodity groups. These results highlight a clear distinction between aggregate and disaggregated dynamics: global commodity prices are largely driven by macroeconomic and financial conditions, implying that policymakers retain meaningful scope to influence them, whereas commodity-group prices are more sensitive to shocks and uncertainty. • We employ a BDFM and a FAVAR model. • We investigate cross-commodity price synchronisation and the factors driving it. • Macroeconomic and financial factors are key determinants of world commodity prices. • For commodity group prices, uncertainty is at least as important as the other factors.

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Publication Details

Journal
Journal of International Money and Finance
Published
2026-04-25
DOI
https://doi.org/10.1016/j.jimonfin.2026.103588
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00

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article

Commodity prices redux: A global factor story

Georgios Magkonis, Karen Jackson, Michail Filippidis, Krzysztof Beck
Journal of International Money and Finance
Market Dynamics and Volatility
article

Commodity prices redux: A global factor story

Georgios Magkonis, Karen Jackson, Michail Filippidis, Krzysztof Beck
article en

Abstract

In this study, we novelly employ a Bayesian Dynamic Factor Model (BDFM) and a Factor-Augmented Vector Autoregressive (FAVAR) model to investigate the relatively under-explored phenomenon of cross-commodity price synchronisation and the factors driving comovement in commodity prices. Our findings indicate that macroeconomic and financial factors are key determinants of world commodity prices, whereas uncertainty plays a comparatively minor role, accounting for less than 10% initially and remaining below 20% at longer horizons. At the level of commodity group prices, however, uncertainty becomes significantly more important, with its contribution exceeding one-third of the variance at longer horizons across all commodity groups. These results highlight a clear distinction between aggregate and disaggregated dynamics: global commodity prices are largely driven by macroeconomic and financial conditions, implying that policymakers retain meaningful scope to influence them, whereas commodity-group prices are more sensitive to shocks and uncertainty. • We employ a BDFM and a FAVAR model. • We investigate cross-commodity price synchronisation and the factors driving it. • Macroeconomic and financial factors are key determinants of world commodity prices. • For commodity group prices, uncertainty is at least as important as the other factors.

Journal of International Money and FinanceVol. 165
Uczelnia Łazarskiego (PL), University of Portsmouth (GB), University of Westminster (GB)
Narodowe Centrum Nauki
Decent work and economic growth
Openalex Percentile: Top 12%
Market Dynamics and Volatility
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