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University of Minnesota
Department of Applied Economics

317c Ruttan Hall
1994 Buford Avenue
St. Paul, MN 55108-6040
Email: mbozic [at] umn [dot] edu

Phone: (612) 624-4746

PGP: ID=4B35DA0C


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My name is Marin Bozic. I am an Assistant Professor in Dairy Foods Marketing Economics in the Department of Applied Economics at the University of Minnesota.

My research program encompasses four areas: (i) U.S. dairy policy analysis, (ii) dairy risk analysis, (iii) demand analysis and elicitation of consumers' willingness to pay for new dairy foods products and (iv) feasibility assessments of new dairy technologies, processing investments and new products.

I am affiliated with The Midwest Dairy Foods Research Center, one of six national dairy centers whose mission is to develop and transfer new knowledge in dairy foods research that will increase the value of dairy products in the U.S. and ensure its future competitiveness. The Center was established as a partnership among the University of Minnesota, South Dakota State University, and Iowa State University. Research is done in collaboration with academia and industry, both nationally and internationally.

with John Newton, Cameron S. Thraen and Brian W. Gould. Forthcoming in American Journal of Agricultural Economics.

an image Livestock Gross Margin Insurance for Dairy Cattle (LGM-Dairy) is a risk management tool for protecting milk income over feed cost margins. In this article, we examine the assumptions underpinning the method used to determine LGM-Dairy premiums. Analysis of the milkā€“feed dependence structure is conducted using copula methods, a rich set of tools that allow modelers to capture nonlinearities in dependence among variables of interest. We find a significant relationship between milk and feed prices that increases with time-to-maturity and severity of negative price shocks. Extremal, or tail, dependence is the propensity of dependence to concentrate in the tails of a distribution. A common theme in financial and actuarial applications and in agricultural crop revenue insurance is that tail dependence increases the risk to the underwriter and results in higher insurance premiums. We present, to our knowledge, the first case in which tail dependence may actually reduce actuarially fair premiums for an agricultural risk insurance product.
We examine hedging effectiveness with LGM-Dairy and show that, even in the absence of basis or production risk, hedging horizon plays an important role in the ability of this tool to smooth farm income over feed cost margins over time. Rating methodology that accounts for tail dependence between milk and feed prices extends the optimal hedging horizon and increases hedging effectiveness of the LGM-Dairy program.

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