Consulta: subjectFacets:"ARMA"
Registros recuperados: 2
Data/hora: 11/06/2024 15:29:24

Measuring Volatility in Dairy Commodity Prices
Provedor de dados: 31
Autores: O'Connor,   Declan; Keane,   Michael; Barnes,   Edel.
The policy environment facing the EU dairy industry continues to undergo considerable change under WTO and CAP reform. Movement away from supply management by the EU and a more liberal global agricultural trading system will involve greater price volatility for dairy commodities. It is anticipated that EU dairy prices will more closely align with world prices. World prices are both lower and more volatile than EU prices and it is further assumed that this increased volatility will be transmitted to EU prices. Price volatility is a concern for a number of reasons as it adds challenges for business planning, debt repayment, and, in some cases, solvency. Representative EU and world butter and SMP (Skim Milk Powder) prices are considered and using the ARMA and...
Tipo: Conference Paper or Presentation
Palavras-chave: Price Volatility; ARMA; GARCH; Butter; SMP; Dairy Policy; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety.
Ano: 2009
URL: http://purl.umn.edu/58106

Fruit production forecasting by neuro-fuzzy techniques
Provedor de dados: 31
Autores: Atsalakis,   George S.; Atsalakis,   Ioanna G.
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems. This paper presents a neuro-fuzzy model for forecasting the fruit production of some agriculture products (olives, lemons, oranges, cherries and pistachios). The model utilizes a time series of yearly data. The fruit forecasting is based on Adaptive Neural Fuzzy Inference System (ANFIS). ANFIS uses a combination of the least-squares method and the backprobagation gradient descent method to estimate the optimal food forecast parameters for each year. The results are compared to those of an Autoregressive (AR) model and an Autoregressive Moving Average model (ARMA).
Tipo: Conference Paper or Presentation
Palavras-chave: Fruit forecasting; Neuro-fuzzy; ANFIS; AR; ARMA; Forecasting; Fruit production; Agricultural Finance; Crop Production/Industries.
Ano: 2010
URL: http://purl.umn.edu/57680