7 pages, This study aims to identify whether there is dependence between agricultural commodities traded on the Brazilian market. We used the bivariate copula method over a ten-year period to assess the extreme effects on the returns of the following commodities: soybean, wheat, Arabica coffee, and Robusta coffee. The relationship directly affects the dependence between Arabica and Robusta coffees commodities. While the relationship between wheat, Arabica and Robusta coffees, and soybean is positively dependent. Economic growth, market dynamics, and the prices of an agricultural commodity tend to increase the price of other commodities.
Waller, Mark (author), Welch, Mark E. (author), Amosson, Steve (author), Anderson, David (author), Bevers, Stan (author), Hogan, Robert (author), McCorkle, Dean (author), Robinson, John (author), Smith, Jackie (author), and Williams, Emmy (author)
Format:
Poster
Publication Date:
2013-02-03
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 186 Document Number: D00903
Notes:
Poster presented at the Southern Agricultural Economics Association annual meeting, Orlando,Florida, February 3-5, 2013. 2 pages.
