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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International Journal of Food and Agricultural Economics
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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 |
work_keys_str_mv |
AT dennisbergmann anevaluationofpointanddensityforecastsforselectedeufarmgatemilkprices AT declanoconnor anevaluationofpointanddensityforecastsforselectedeufarmgatemilkprices AT andreasthummel anevaluationofpointanddensityforecastsforselectedeufarmgatemilkprices AT dennisbergmann evaluationofpointanddensityforecastsforselectedeufarmgatemilkprices AT declanoconnor evaluationofpointanddensityforecastsforselectedeufarmgatemilkprices AT andreasthummel evaluationofpointanddensityforecastsforselectedeufarmgatemilkprices |
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1726015170439806976 |