Forecasting Commodity Prices: Looking for a Benchmark

The random walk, no-change forecast is a customary benchmark in the literature on forecasting commodity prices. We challenge this custom by examining whether alternative models are more suited for this purpose. Based on a literature review and the results of two out-of-sample forecasting experiments...

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Main Authors: Marek Kwas, Michał Rubaszek
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Forecasting
Subjects:
Online Access:https://www.mdpi.com/2571-9394/3/2/27
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author Marek Kwas
Michał Rubaszek
author_facet Marek Kwas
Michał Rubaszek
author_sort Marek Kwas
collection DOAJ
description The random walk, no-change forecast is a customary benchmark in the literature on forecasting commodity prices. We challenge this custom by examining whether alternative models are more suited for this purpose. Based on a literature review and the results of two out-of-sample forecasting experiments, we draw two conclusions. First, in forecasting nominal commodity prices at shorter horizons, the random walk benchmark should be supplemented by futures-based forecasts. Second, in forecasting real commodity prices, the random walk benchmark should be supplemented, if not substituted, by forecasts from the local projection models. In both cases, the alternative benchmarks deliver forecasts of comparable and, in many cases, of superior accuracy.
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spelling doaj.art-ff2ca9067b7c414b8f5c9844bc5d27812023-11-22T00:49:16ZengMDPI AGForecasting2571-93942021-06-013244745910.3390/forecast3020027Forecasting Commodity Prices: Looking for a BenchmarkMarek Kwas0Michał Rubaszek1Collegium of Economic Analysis, SGH Warsaw School of Economics, 02-554 Warsaw, PolandCollegium of Economic Analysis, SGH Warsaw School of Economics, 02-554 Warsaw, PolandThe random walk, no-change forecast is a customary benchmark in the literature on forecasting commodity prices. We challenge this custom by examining whether alternative models are more suited for this purpose. Based on a literature review and the results of two out-of-sample forecasting experiments, we draw two conclusions. First, in forecasting nominal commodity prices at shorter horizons, the random walk benchmark should be supplemented by futures-based forecasts. Second, in forecasting real commodity prices, the random walk benchmark should be supplemented, if not substituted, by forecasts from the local projection models. In both cases, the alternative benchmarks deliver forecasts of comparable and, in many cases, of superior accuracy.https://www.mdpi.com/2571-9394/3/2/27commodity pricescommodity futuresmean-reversionlocal projectionforecasting
spellingShingle Marek Kwas
Michał Rubaszek
Forecasting Commodity Prices: Looking for a Benchmark
Forecasting
commodity prices
commodity futures
mean-reversion
local projection
forecasting
title Forecasting Commodity Prices: Looking for a Benchmark
title_full Forecasting Commodity Prices: Looking for a Benchmark
title_fullStr Forecasting Commodity Prices: Looking for a Benchmark
title_full_unstemmed Forecasting Commodity Prices: Looking for a Benchmark
title_short Forecasting Commodity Prices: Looking for a Benchmark
title_sort forecasting commodity prices looking for a benchmark
topic commodity prices
commodity futures
mean-reversion
local projection
forecasting
url https://www.mdpi.com/2571-9394/3/2/27
work_keys_str_mv AT marekkwas forecastingcommoditypriceslookingforabenchmark
AT michałrubaszek forecastingcommoditypriceslookingforabenchmark