The role of comovement and time-varying dynamics in forecasting commodity prices

Anastasia Allayioti and Fabrizio Venditti

No 2901, Working Paper Series from European Central Bank

Abstract: Commodity prices co-move, but the strength of this co-movement changes over time due to structural factors, like changing energy intensity in production and consumption as well as changing composition of underlying shocks. This paper explores whether econometric models that exploit this co-movement and account for parameter instability provide more accurate point and density forecasts of ten major commodity indices viz-a-viz constant coefficient models. Improvements in point forecast accuracy are small, with predictability varying substantially across forecast horizons and commodity indices, but they are large and significant in terms of density forecasting. An economic evaluation reveals that allowing for parameter time variation and commonalities leads to higher portfolios returns, and to higher utility values for investors. JEL Classification: C32, C52, C53, C55, E37

Keywords: commodities; commonalities; density forecasting; economic evaluation; instabilities (search for similar items in EconPapers)
Date: 2024-02
New Economics Papers: this item is included in nep-ets and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:ecb:ecbwps:20242901

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