AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES

Fundamental changes to the common agricultural policy (CAP) have led to greater market orientation which in turn has resulted in sharply increased variability of EU farm gate milk prices and thus farmers’ income. In this market environment reliable forecasts of farm gate milk prices are extremely...

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Main Authors: Dennis Bergmann, Declan O’Connor, Andreas Thümmel
Format: Article
Language:English
Published: International Journal of Food and Agricultural Economics 2018-01-01
Series:International Journal of Food and Agricultural Economics
Subjects:
Online Access:http://www.foodandagriculturejournal.com/Vol6.%20No.1.pp23.pdf
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spelling doaj-f619f18009b548968fceae280bdaa5782020-11-24T21:16:56ZengInternational Journal of Food and Agricultural EconomicsInternational Journal of Food and Agricultural Economics2147-89882147-89882018-01-01612353AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICESDennis Bergmann0Declan O’Connor1Andreas Thümmel2Cork Institute of Technology, IrelandCork Institute of Technology, IrelandUniversity of Applied Science Darmstadt, GermanyFundamental changes to the common agricultural policy (CAP) have led to greater market orientation which in turn has resulted in sharply increased variability of EU farm gate milk prices and thus farmers’ income. In this market environment reliable forecasts of farm gate milk prices are extremely important as farmers can make improved decisions with regards to cash flow management and budget preparation. In addition these forecasts may be used in setting fixed priced contracts between dairy farmers and processors thus providing certainty and reducing risk. In this study both point and density forecasts from various time series models for farm gate milk prices in Germany, Ireland and for an average EU price series are evaluated using a rolling window framework. Additionally forecasts of the individual models are combined using different combination schemes. The results of the out of sample evaluation show that ARIMA type models perform well on short forecast horizons (1 to 3 month) while the structural time series approach performs well on longer forecast horizons (12 month). Finally combining individual forecasts of different models significantly improves the forecast performance for all forecast horizons.http://www.foodandagriculturejournal.com/Vol6.%20No.1.pp23.pdfDairy industrymilk pricesforecastingtime series methodsdensity forecasts
collection DOAJ
language English
format Article
sources DOAJ
author Dennis Bergmann
Declan O’Connor
Andreas Thümmel
spellingShingle Dennis Bergmann
Declan O’Connor
Andreas Thümmel
AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
International Journal of Food and Agricultural Economics
Dairy industry
milk prices
forecasting
time series methods
density forecasts
author_facet Dennis Bergmann
Declan O’Connor
Andreas Thümmel
author_sort Dennis Bergmann
title AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
title_short AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
title_full AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
title_fullStr AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
title_full_unstemmed AN EVALUATION OF POINT AND DENSITY FORECASTS FOR SELECTED EU FARM GATE MILK PRICES
title_sort evaluation of point and density forecasts for selected eu farm gate milk prices
publisher International Journal of Food and Agricultural Economics
series International Journal of Food and Agricultural Economics
issn 2147-8988
2147-8988
publishDate 2018-01-01
description Fundamental changes to the common agricultural policy (CAP) have led to greater market orientation which in turn has resulted in sharply increased variability of EU farm gate milk prices and thus farmers’ income. In this market environment reliable forecasts of farm gate milk prices are extremely important as farmers can make improved decisions with regards to cash flow management and budget preparation. In addition these forecasts may be used in setting fixed priced contracts between dairy farmers and processors thus providing certainty and reducing risk. In this study both point and density forecasts from various time series models for farm gate milk prices in Germany, Ireland and for an average EU price series are evaluated using a rolling window framework. Additionally forecasts of the individual models are combined using different combination schemes. The results of the out of sample evaluation show that ARIMA type models perform well on short forecast horizons (1 to 3 month) while the structural time series approach performs well on longer forecast horizons (12 month). Finally combining individual forecasts of different models significantly improves the forecast performance for all forecast horizons.
topic Dairy industry
milk prices
forecasting
time series methods
density forecasts
url http://www.foodandagriculturejournal.com/Vol6.%20No.1.pp23.pdf
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