000			02818nam a22003137a 4500
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003			IE-CoIT
005			20200122062809.0
007			ta
008			180322s2017 ie ||||| |||| 00| 0|eng||
040			_aIE-CoIT
082	0	4	_aTHESES PRESS
100	1		_9123963 _aBergmann, Dennis _eauthor
245	1	3	_aAn application of time series methods to investigate EU dairy commodity price dynamics / _cDennis Bergmann.
264		1	_aCork : _bCork Institute of Technology, _c2017.
300			_axvii, 203 pages : _billustrations ; _c30 cm
336			_atext _btxtr _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rcarrier
490		0	_aPh. D - Biological Sciences
500			_aFundamental 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)
502			_aThesis _b(Ph. D.) - _cCork Institute of Technology, _d2017,
504			_aBibliography: (pages 193-203)
650		0	_943362 _aTime-series analysis
650		0	_9123965 _aFarm produce _xPrices _xForecasting _zEuropean Union Countries
650		0	_936056 _aDairy products industry _zEuropean Union Countries
650		0	_940176 _aMultivariate analysis
650		0	_aRisk _942005
942			_2ddc