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dc.contributor.advisorAradhyula, Satheeshen
dc.contributor.authorAvery, Christopher S.
dc.creatorAvery, Christopher S.en
dc.date.accessioned2016-06-16T21:17:04Z
dc.date.available2016-06-16T21:17:04Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10150/613516
dc.description.abstractCrop insurance has been used by farmers to reduce yield loss risk. In this thesis we explore the plausibility of using weather derivative products to hedge against temperature induced corn yield losses. The ultimate goal is to explore relationships between weather and yield in order to hedge yield risk with exchange traded weather derivatives. This paper sets up the groundwork for these strategies by determining the weather relationships to annual yield and variability of yields using log-linear models. We find significant links among corn, soybeans, and hay yields in Iowa and weather variables such that using temperature based weather derivatives to hedge against yield loss is economically viable.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.subjectAgricultural & Resource Economicsen
dc.titleWeather Derivatives as Crop Insurance in Iowaen_US
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
dc.contributor.committeememberDahlgran, Roger A.en
dc.contributor.committeememberTronstad, Russell E.en
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineAgricultural & Resource Economicsen
thesis.degree.nameM.S.en
refterms.dateFOA2018-06-05T19:32:14Z
html.description.abstractCrop insurance has been used by farmers to reduce yield loss risk. In this thesis we explore the plausibility of using weather derivative products to hedge against temperature induced corn yield losses. The ultimate goal is to explore relationships between weather and yield in order to hedge yield risk with exchange traded weather derivatives. This paper sets up the groundwork for these strategies by determining the weather relationships to annual yield and variability of yields using log-linear models. We find significant links among corn, soybeans, and hay yields in Iowa and weather variables such that using temperature based weather derivatives to hedge against yield loss is economically viable.


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