Short-term Hog Price Forecasting Models for Iowa PDF Download
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Author: Daniel Philip Klein
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
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Book Description
Author: Daniel Philip Klein
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
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Book Description
Author: Wayne Umberger
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 116
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Book Description
Author: Kenneth A. Zielinski
Publisher:
ISBN:
Category : Swine
Languages : en
Pages : 192
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Book Description
Author: Richard J. Foote
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 258
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Book Description
Author: Shakib Mbabaali
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
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Book Description
The Manitoba hog industry operates under uncertain and changing circumstances. Manitoba Department of Agriculture cites some of the factors responsible for the uncertain and changing environment. Such factors include high costs of new facilities, rising energy costs, variable prices for feed grains and protein supplements, and uncertainties about future hog market prices. The research reported in this study concentrates on the uncertainties about future hog market prices by identifying the factors responsible for hog price fluctuations both on a weekly and monthly basis. The identified factors are used to generate knowledge about future hog market prices by using univariate time series, econometric and compsite models as forecasting toos. The forecasts generated using those models are evaluated against the naive or no change model for their quantitative and qualitative forecasting performance. Evaluation measures used include Mean Squared Error, Mean Absolute Percentage Error and Theil's U1 inequality coefficient for quantitative evaluation. The qualitative evaluation measures include the Naik and Leuthold 4 x 4 contingency table method and the Henriksson-Merton probability-based method. Under certain circumstances the Naik and Leuthold 4 x 4 contingency table method is shown to be inappropriate and a 9 x 9 contingency table is suggested. Overall, the models developed do not perform very well quantitatively but the univariate time series model performs well at predicting turning points. The study demonstrates how producers could benefit from the turning point information generated by the univariate times series model. Keywords: forcasting, time series, econometric model, composite model, naive model, quantitiative forecast evaluation, qualitative forecast evaluation.
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 80
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Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 906
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Book Description
Author: Ton Viet Ta
Publisher:
ISBN:
Category :
Languages : en
Pages : 86
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Book Description
https: //www.dinhxa.com One-Week Free Trial (subject to change) Do you want to earn up to a 1002% annual return on your money by two trades per day on Lean Hogs Futures, Apr-2021 HE=F Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade HE=F Stock at predicted prices. Eight methods for buying and selling HE=F Stock at predicted low/high prices are introduced. These prices are very close to the lowest and highest prices of the stock in a day. All methods are explained in a very easy-to-understand way by using many examples, formulas, figures, and tables. The BIG DATA of the 4228 consecutive trading days (from March 4, 2002 to March 4, 2021) are utilized. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each takes you no more than 30 seconds for calculation to obtain a specific predicted price. The methods are not transient. They cannot be beaten by Mr. Market in several years, even until the stock doubles its current age. They are traits of Mr. Market. The reason is that the author uses the law of large numbers in the probability theory to construct them. In other words, you can use the methods in a long time without worrying about their change. The efficiency of the methods can be checked easily. Just compare the predicted prices with the actual price of the stock while referring to the probabilities of success which are shown clearly in the book (click the LOOK INSIDE button to read more information before buying this book). The book is very useful for Investors who have decided to buy the stock and keep it for a long time (as the strategy of Warren Buffett), or to sell the stock and pay attention to other stocks. The methods will help them to maximize profits for their decision. Day traders who buy and sell the stock many times in a day. Although each method is valid one time per day, the information from the methods will help the traders buy/sell the stock in the second time, third time or more in a day. Beginners to HE=F Stock. The book gives an insight about the behavior of the stock. They will surely gain their knowledge of HE=F Stock after reading the book. Everyone who wants to know about the U.S. stock market. https: //www.dinhxa.com includes a software (app) for stock price forecasting using the methods in this book. The software gives 114 predictions while this book gives 16. One-Week Free Trial (subject to change)
Author: Brian Holding
Publisher:
ISBN:
Category : Agricultural prices
Languages : en
Pages : 504
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Book Description
Author: Chester O. Jr. McCorkler
Publisher: Elsevier
ISBN: 0323149413
Category : Business & Economics
Languages : en
Pages : 464
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Book Description
Economics of Food Processing in the United States aims to provide an economic overview of the food processing industries in the United States; to explore the firm-level implications of social, economic, technological, and institutional forces for selected food processing industries; and to uncover some of the implications for consumers, raw product producers, and the national economy of the major trends observed in food industries. The book begins by evaluating the major forces shaping demand, supply, prices, and trade in processed foods. It then considers major trends in technical processes; major forces in marketing, distribution, and structure; and major trends in regulation. The next few chapters explore these trends for five specific food processing industries, which represent major types of products processed: fruits and vegetables, meat, milk, grain and soybeans, and wine. After the specific industries have been examined, the final two chapters treat these industries in the context of the national and international economy. Students preparing for careers, researchers, and industry participants who study these firms and industries and the various approaches to solving their economic and management problems will benefit from the information in this volume and from its approach to presenting the dynamics of the food processing industries.
