Show simple item record

dc.contributor.authorHanson, Cole Thomas
dc.description.abstractCommodity trading firms work to remain competitive in the evolving agricultural industry. They work to become more efficient by increasing economies of size and scale, vertically and horizontally integrating, and diversifying geographically, or any combination of these avenues. Geographically diverse firms have access to multiple origins between which, spatial arbitrage opportunities can occur. When spatial arbitrage opportunities occur, firms take advantage of them to generate profit. Origin switching options are one way to take advantage of these opportunities. Origin switching option allow the seller of grain to fill a contract with any listed origin at the cost of the premium negotiated. This thesis helps to determine the value of these origin type switching options by developing a Monte Carlo simulation model with real option analysis. Soybean and corn markets are analyzed in the U.S. Gulf, Pacific Northwest, Brazil, Argentine, and origins with China and Japan as the respective destinations.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleValuing Origin Switching Options Using Monte Carlo Simulationen_US
dc.typeThesisen_US
dc.date.accessioned2021-03-30T16:57:03Z
dc.date.available2021-03-30T16:57:03Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/10365/31821
dc.subjectinternational grainen_US
dc.subjectmonte carlo simulationen_US
dc.subjectorigin optionen_US
dc.subjectswitching optionen_US
dc.identifier.orcid0000-0002-3138-9181
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeAgriculture, Food Systems and Natural Resourcesen_US
ndsu.departmentAgribusiness and Applied Economicsen_US
ndsu.programAgribusiness and Applied Economicsen_US
ndsu.advisorWilson, William


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record