GARCH Time Series Models: An Application to Retail Livestock Prices
Traditional time series models assume a constant conditional variance. Realizing the implausibility of this assumption, Bollerslev proposed Generalized Autoregressive Conditional Heteroscedasticity (GARSH) processes, which are characterized by nonconstant conditional variances. In this paper, GARCH (1,1) processes were applied to model livestock prices. Results indicate that GARCH processes adequately describe retail meat price behavior.
|Date of creation:||May 1988|
|Date of revision:|
|Contact details of provider:|| Postal: 578 Heady Hall, Ames, IA 50011-1070|
Web page: http://www.fapri.iastate.edu/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Satheesh V. Aradhyula & Matthew T. Holt, 1988.
"Risk Behavior and Rational Expectations in the U.S. Broiler Market,"
Food and Agricultural Policy Research Institute (FAPRI) Publications
88-wp33, Food and Agricultural Policy Research Institute (FAPRI) at Iowa State University.
- Satheesh V. Aradhyula & Matthew T. Holt, 1988. "Risk Behavior and Rational Expectations in the U.S. Broiler Market," Center for Agricultural and Rural Development (CARD) Publications 88-wp33, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Aradhyula, Satheesh V. & Holt, Matthew, 1989. "Risk Behavior and Rational Expectations in the U.S. Broiler Market," Staff General Research Papers Archive 274, Iowa State University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:ias:fpaper:88-wp29. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.