WP 8: Short term forecasts and early warning
General Information
Work package 8 will develop econometric tools for short-term forecasts and early warning systems for the most relevant agricultural commodities, with an explicit assessment of model uncertainty.
Further, it will develop tools for policy design aiming at the short-term stabilization of agricultural commodity markets.
Latest Publication
Deliverable 8.4: Early warning systems for commodity markets
An agricultural commodity price and price volatility forecasting modelling system has been developed and applied for four agricultural commodities to perform forecasts on a horizon spanning from three months to one year. The forecasting system can be used as an early warning system based on seasonal and decadal simulated weather and climate forecasts in combination with financial and macro-economic projections.
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Deliverable 8.3: Forecasting Commodity Prices Under Specification Uncertainty: A Comprehensive Approach
We present a comprehensive modelling framework aimed at obtaining short-term forecasts (one to twelve months ahead) of commodity prices and apply it to short and medium run predictions of Arabica coffee, wheat, soybeans and corn. We entertain a large number of univariate and multivariate time series models, including specifications that exploit information about market fundamentals, macroeconomic and financial developments and climatic variables. A comprehensive set of forecast averaging tools is implemented to explicitly address model uncertainty. Our results indicate that variables measuring market fundamentals and macroeconomic developments (and to a lesser extent, financial developments) contain systematic predictive information for out-of-sample forecasting of commodity prices.
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Deliverable 8.2: Preliminary report on Task 8.2: prices forecasting model
We present a comprehensive modelling framework aimed at obtaining shortterm forecasts of commodity prices. The publication has been released to the consortium members
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Deliverable 8.1: The decomposition of agricultural commodity markets volatility between fundamentals and market speculation
We analyse the role played by market fundamentals, speculation and macroeconomic conditions as empirical determinants of commodity price changes. We combine model averaging techniques to explain historical patterns with an in-depth analysis of out-ofsample predictability of commodity prices using fundamentals as well as macroeconomic and financial variables. Our results indicate that variables related to global macroeconomic and financial developments contain valuable information to explain the historical pattern of coffee price developments, as well as to improve out-of-sample predictions of coffee prices.
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© Copyright 2015. METRICS, MODELS AND FORESIGHT FOR EUROPEAN SUSTAINABLE FOOD AND NUTRITION SECURITY - SUSFANS
H2020-SFS-2014-2,
Grant 633692