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dc.contributor.authorZhu, Jiachi
dc.date.accessioned2012-08-29T13:49:34Z
dc.date.available2012-08-29T13:49:34Z
dc.date.issued2012-08-29
dc.identifier.urihttp://hdl.handle.net/10222/15416
dc.description.abstractIn this thesis, we analyse the relationship between the hedging activities and return on equity, and the relationship between profit on hedging and other factors. Fully conditional specification is used to impute the missing values. Instrumental variable estimation and finite mixture of regression models are then used to predict the return on equity and hedging gain. We find the instrumental variable estimation is better than the OLS estimation to deal with the hedging data since it eliminates the endogeneity. By finite mixture of regression models, we show that different firms have different hedging strategies, which cause different profits in hedging. We also find the companies with large total assets prefer to hedge.en_US
dc.language.isoen_USen_US
dc.subjectHedging, oil and gas, fully conditional specification, instrumental variable model, finite mixture of regression modelsen_US
dc.titleHedging the Return on Equity and Firm Profit: Evidence from Canadian Oil and Gas Companiesen_US
dc.typeThesisen_US
dc.date.defence2012-08-22
dc.contributor.departmentDepartment of Mathematics & Statistics - Statistics Divisionen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinernaen_US
dc.contributor.graduate-coordinatorDavid Hamiltonen_US
dc.contributor.thesis-readerKuan Xuen_US
dc.contributor.thesis-readerDavid Hamiltonen_US
dc.contributor.thesis-supervisorGu, Hongen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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