Livestock Gross Margin Insurance for Dairy: Designing Margin Insurance Contracts to Account for Tail Dependence Risk
Livestock Gross Margin Insurance for Dairy Cattle (LGM-Dairy) is a recently introduced tool for protecting average income over feed cost margins in milk production. In this paper we examine the assumptions underpinning the rating method used to determine premiums charged for LGM-Dairy insurance contracts. The first test relates to the assumption of lognormality in terminal futures prices. Using high-frequency futures and options data for milk, corn and soybean meal we estimate implied densities with flexible higher moments. Simulations indicate there is no strong evidence that imposing lognormality introduces bias in LGM-Dairy premiums. The remainder of the paper is dedicated to examining dependency between milk and feed marginal distributions. The current LGM-Dairy rating method imposes the restriction of zero conditional correlation between milk and corn, as well as milk and soybean meal futures prices. Using futures data from 1998-2011 we find that allowing for non-zero milk-feed correlations considerably reduces LGM-Dairy premiums for insurance contracts with substantial declared feed amounts. Further examination of the nature of milk-feed dependencies reveals that Spearman’s correlation coefficient is mostly reflecting tail dependence. Using the empirical copula approach we find that non-parametric method of modeling milk-feed dependence decreases LGM-Dairy premiums more than a method that allows only for linear correlation. Unlike other situations in portfolio risk assessment where extremal dependence increases risk, in agricultural margins, tail dependence between feed and the Class III milk price may actually decrease insurance risk, and reduce actuarially fair premiums.
|Date of creation:||2012|
|Date of revision:|
|Contact details of provider:|| Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202|
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
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.:
- Hart, Chad E. & Babcock, Bruce A. & Hayes, Dermot J., 2001.
"Livestock Revenue Insurance,"
Staff General Research Papers
1932, Iowa State University, Department of Economics.
- Chad E. Hart & Bruce A. Babcock & Dermot J. Hayes, 2001. "Livestock Revenue Insurance," Center for Agricultural and Rural Development (CARD) Publications 99-wp224, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Kousky, Carolyn & Cooke, Roger M., 2009. "The Unholy Trinity: Fat Tails, Tail Dependence, and Micro-Correlations," Discussion Papers dp-09-36-rev.pdf, Resources For the Future.
- Williams,Jeffrey C. & Wright,Brian D., 2005.
"Storage and Commodity Markets,"
Cambridge University Press, number 9780521023399, October.
- Donnelly, Catherine & Embrechts, Paul, 2010. "The Devil is in the Tails: Actuarial Mathematics and the Subprime Mortgage Crisis," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 40(01), pages 1-33, May.
- Bruce A. Babcock & Chad E. Hart & Dermot J. Hayes, 2004.
"Actuarial Fairness of Crop Insurance Rates with Constant Rate Relativities,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 86(3), pages 563-575.
- Babcock, Bruce A. & Hart, Chad E. & Hayes, Dermot J., 2004. "Actuarial Fairness of Crop Insurance Rates with Constant Rate Relativities," Staff General Research Papers 11283, Iowa State University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:ags:aaea12:124718. 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: (AgEcon Search)
If references are entirely missing, you can add them using this form.