MTU Cork Library Catalogue

An application of time series methods to investigate EU dairy commodity price dynamics / Dennis Bergmann.

By: Bergmann, Dennis [author].
Material type: materialTypeLabelBookSeries: Ph. D - Biological Sciences.Publisher: Cork : Cork Institute of Technology, 2017Description: xvii, 203 pages : illustrations ; 30 cm.Content type: text Media type: unmediated Carrier type: volumeSubject(s): Time-series analysis | Farm produce -- Prices -- Forecasting -- European Union Countries | Dairy products industry -- European Union Countries | Multivariate analysis | RiskDDC classification: THESES PRESS Dissertation note: Thesis Cork Institute of Technology, 2017,
List(s) this item appears in: PhD Theses
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Reference MTU Bishopstown Library Thesis THESES PRESS (Browse shelf(Opens below)) Reference 00181148
Total holds: 0

Fundamental changes to the Common Agricultural Policy (CAP) have led to greater market orientation which in turn has resulted in significantly changed price dynamics of EU dairy prices. These changed dynamics include sharply increased price variability of EU farm gate milk prices, as well as EU dairy commodity prices such as butter and Skimmed Milk Powder (SMP). In addition, it was expected that EU dairy prices would align to World dairy prices. This alignment of prices would also see an alignment of volatility levels which were significantly higher for World dairy prices than EU dairy prices. The aim of this thesis is to analysis the changing price dynamics of EU dairy prices. The results of this thesis are thus of practical interest for farmers, processors and consumers as well as policy makers as they can form the basis for the development of appropriate risk management tools for the EU dairy industry. The thesis presents four empirical studies which share a common theme in that they investigate the changed dynamics of EU dairy prices. In the first study, univariate time series methods are used to analyse farm gate milk price dynamics. The following two studies use multivariate time series methods to analyse price and volatility transmission effects fr butter and SMP markets. In particular horizontal (spatial and cross-commodity) and vertical transmission (from input to output prices) effects are analysed. Finally the last study evaluates the forecasting performance of a number of time series models as applied to selected EU farm gate milk prices. Thus this study focuses on a counter measure to price volatility while the other studies analysed its causes - (Abstract)

Thesis Cork Institute of Technology, 2017,

Bibliography: (pages 193-203)

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