000053046 001__ 53046
000053046 005__ 20180122211317.0
000053046 037__ $$a1315-2016-102678
000053046 041__ $$aen
000053046 245__ $$aA Comparison of the Effectiveness of Using Futures, Options, LRP Insurance, or AGR-Lite Insurance to Manage Risk for Cow-calf Producers
000053046 260__ $$c2009-04
000053046 269__ $$a2009-04
000053046 270__ $$mdillon.feuz@usu.edu$$pFeuz,   Dillon M.
000053046 300__ $$a13
000053046 336__ $$aConference Paper/ Presentation
000053046 490__ $$aNCCC- 134
000053046 490__ $$a12
000053046 520__ $$aA comparative analysis was performed looking at using cash, futures, options, or
insurance to manage the price of calves for cow-calf producer. Risk can be reduced with
the futures market and with options or LRP insurance. Options and LRP insurance are
equivalent in the amount of risk that is reduced. AGR-Lite does not appear to be an
effective policy at reducing risk for cow-calf producers.
000053046 542__ $$fLicense granted by mark althouse (malthous@uiuc.edu) on 2009-08-25T16:14:58Z (GMT):

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000053046 650__ $$aAgribusiness
000053046 650__ $$aAgricultural Finance
000053046 650__ $$aDemand and Price Analysis
000053046 650__ $$aFarm Management
000053046 650__ $$aFinancial Economics
000053046 650__ $$aLivestock Production/Industries
000053046 650__ $$aResearch Methods/ Statistical Methods
000053046 650__ $$aRisk and Uncertainty
000053046 6531_ $$aCow-calf risk
000053046 6531_ $$aFeeder cattle futures
000053046 6531_ $$aOptions
000053046 6531_ $$aLRP Feeder Cattle
000053046 6531_ $$aAGR-Lite
000053046 700__ $$aFeuz, Dillon M.
000053046 8564_ $$s192466$$uhttps://ageconsearch.umn.edu/record/53046/files/confp12-09.pdf
000053046 887__ $$ahttp://purl.umn.edu/53046
000053046 909CO $$ooai:ageconsearch.umn.edu:53046$$pGLOBAL_SET
000053046 912__ $$nSubmitted by mark althouse (malthous@uiuc.edu) on 2009-08-25T16:17:14Z
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000053046 912__ $$nMade available in DSpace on 2009-08-25T16:17:15Z (GMT). No. of bitstreams: 1
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  Previous issue date: 2009-04
000053046 982__ $$gNCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management>2009 Conference, April 20-21, 2009, St. Louis, Missouri
000053046 980__ $$a1315