Optimization of Soybean Buying Strategies Using Derivatives
dc.contributor.author | Moody, Nathaniel David | |
dc.date.accessioned | 2018-07-11T16:13:38Z | |
dc.date.available | 2018-07-11T16:13:38Z | |
dc.date.issued | 2017 | en_US |
dc.description.abstract | The portfolio model of hedging framework, based off Markowitz (1952), is used to determine the best mix of futures, basis, and option contracts to hedge a soybean purchase from PNW 28 weeks in to the future. Eighteen options are incorporated including in-the-money, at-the-money, and out-of-the-money call and puts with different expiration dates. Futures and option pricing data is extracted from ProphetX from November of 2013 to December of 2016. Expected utility objectives including mean-variance, CVaR, Mean-CVaR, and Mean-CVaR with copula are maximized using linear programming optimization methods. A two stage model is built to simulate hedging scenarios while measuring various statistics. Under high risk aversion, a standard futures hedge performs the best. Buyers with lower risk aversion should explore option strategies. In-the-money calls, collars, strangles, and short butterfly strategies all perform well. | en_US |
dc.identifier.uri | https://hdl.handle.net/10365/28548 | |
dc.publisher | North Dakota State University | en_US |
dc.rights | NDSU policy 190.6.2 | |
dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
dc.subject.lcsh | Soybean. | en_US |
dc.subject.lcsh | Soybean industry. | en_US |
dc.subject.lcsh | Purchasing. | en_US |
dc.title | Optimization of Soybean Buying Strategies Using Derivatives | en_US |
dc.type | Thesis | en_US |
ndsu.advisor | Wilson, William W. | |
ndsu.college | Agriculture, Food Systems and Natural Resources | en_US |
ndsu.degree | Master of Science (MS) | en_US |
ndsu.department | Agribusiness and Applied Economics | en_US |
ndsu.program | Agribusiness and Applied Economics | en_US |
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