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Please use this identifier to cite or link to this item: http://purl.umn.edu/48760

Title: The Asymmetric Cycling of U.S. Soybeans and Brazilian Coffee Prices: An Opportunity for Improved Forecasting and Understanding of Price Behavior
Authors: Ramirez, Octavio A.
Keywords: asymmetric cycles
coffee prices
soybean prices
threshold autoregressive models
time series forecasting
JEL Codes: C22
C53
Issue Date: 2009-04
Abstract: The behavior of agricultural commodity markets can arguably result in markedly asymmetric price cycles, that is, downward cycles of substantially different length and breadth than upward cycles. This study assesses whether asymmetric-cycle models can enhance the understanding of the dynamics and provide for a better forecasting of U.S. soybeans and Brazilian coffee prices. The forecasts from asymmetric cycle models are found to be substantially mode precise than those obtained from standard autoregressive models. The asymmetric cycle models also provide useful insights on the markedly different dynamics of the upward versus the downward cycles exhibited by the prices of these two commodities.
URI: http://purl.umn.edu/48760
Institution/Association: Journal of Agricultural and Applied Economics>Volume 41, Number 01, April 2009
Total Pages: 14
From Page: 253
To Page: 270
Collections:Volume 41, Number 01, April 2009

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