Factors of predictive power for metal commodities
Patric Papenfuß,
Amelie Schischke and
Andreas Rathgeber
The North American Journal of Economics and Finance, 2025, vol. 76, issue C
Abstract:
There are numerous forecasting studies on commodity prices using various micro- and macroeconomic indicator sets. However, commodity markets have undergone a substantial transformation in the last 20 years, with periods of the financialization, and possibly also a de-financialization, which should also be reflected in the commodity price forecasts. To identify the changes in price predictors and determinants, we individually forecast 24 metal prices one-month ahead in the pre- and post financial crisis period, where we identify the autoregressive price components having a large impact across all commodities and periods. However, interest rates are of larger impact in the first sub-sample, whereas commodity- and financial market indices are dominating in the second sub-sample. Further, we perform an out-of-sample forecast over the entire timespan, where we are able to significantly outperform the predefined benchmark forecast models, a random-walk and a random-walk with drift, in 12 of the 24 cases.
Keywords: Commodity price forecasts; Metal price predictors; Commodity-specific microeconomics; Out-of-sample forecasts; Predictor selection (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:76:y:2025:i:c:s1062940824002341
DOI: 10.1016/j.najef.2024.102309
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