000019268 001__ 19268
000019268 005__ 20180122201355.0
000019268 037__ $$a378-2016-21187
000019268 041__ $$aen
000019268 245__ $$aGeneralized Hedge Ratio Estimation with an Unknown Model
000019268 260__ $$c2005
000019268 269__ $$a2005
000019268 270__ $$mjdorfman@agecon.uga.edu$$pDorfman,   Jeffrey H.
000019268 270__ $$mDwightS@siu.edu$$pSanders,   Dwight R.
000019268 300__ $$a34
000019268 336__ $$aConference Paper/ Presentation
000019268 446__ $$aEnglish
000019268 490__ $$aSelected Paper 136464
000019268 520__ $$aMyers and Thompson (1989) noted that the model specification could have a large impact on the hedge ratio estimated. A huge literature exists on estimating hedge ratios, but the literature is lacking a formal treatment of model specification uncertainty. This research accomplishes that task by taking a Bayesian approach to hedge ratio estimation, where specification uncertainty is explicitly modeled.  The methodology is applied to data on hedging of corn and soybeans and on cross-hedging of corn oil using soybean oil futures.  Results show the potential benefits and insights gained from such an approach.
000019268 650__ $$aMarketing
000019268 700__ $$aDorfman, Jeffrey H.
000019268 700__ $$aSanders, Dwight R.
000019268 8564_ $$s150679$$uhttp://ageconsearch.umn.edu/record/19268/files/sp050001.pdf
000019268 887__ $$ahttp://purl.umn.edu/19268
000019268 909CO $$ooai:ageconsearch.umn.edu:19268$$pGLOBAL_SET
000019268 912__ $$nMade available in DSpace on 2007-03-07T23:03:20Z (GMT). No. of bitstreams: 1
sp050001.pdf: 150679 bytes, checksum: 9ac36e96d3e79f969fff779dae37d1b0 (MD5)
  Previous issue date: 2005
000019268 982__ $$gAmerican Agricultural Economics Association>2005 Annual meeting, July 24-27, Providence, RI
000019268 980__ $$a378