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Document Type
Thesis - University Access Only
Award Date
2014
Degree Name
Master of Science (MS)
Department / School
Economics
First Advisor
Zhiguang Wang
Abstract
In this thesis, I investigate price volatility transmission between food companies (under processed and packaged goods, meat, dairy, and farm products sectors) and grain markets in the United States. It is an intuitive notion that price fluctuations in the grain markets can impact the bottom line of a food company and thus, determine its stock price. I apply a multivariate GARCH model to three grain price indices and stock prices of major food companies under processed and packaged, meat, dairy and farm products sectors. I analyze daily stock price and grain price indices data using a bivariate VAR (1) – GARCH (1, 1) model with BEKK and CCC representations proposed by R. F. Engle and Kroner (1995). These models are used to examine the spillover effects between the two markets. I find evidence of bi-directional volatility spillover effects with strong emphasis running from the grain markets to the food companies. Empirical results imply that volatility spillover from the grain markets to food sectors has the following rank in terms of magnitude: processed and packaged goods sector > meat sector > farm sector > dairy sector, from the strongest to the weakest.
Library of Congress Subject Headings
Agricultural prices
Food prices
Grain trade
Food industry and trade
Description
Includes bibliographical references (pages 59-60)
Format
application/pdf
Number of Pages
68
Publisher
South Dakota State University
Rights
In Copyright - Non-Commercial Use Permitted
http://rightsstatements.org/vocab/InC-NC/1.0/
Recommended Citation
Graham, Angela Sarah, "Volatility Transmission: A Linkage Between Grain Markets and Food Companies" (2014). Electronic Theses and Dissertations. 2002.
https://openprairie.sdstate.edu/etd/2002