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dc.contributor.advisorJohn DeTore.en_US
dc.contributor.authorLiu, Jack Wen-Haoen_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2011-09-13T17:55:34Z
dc.date.available2011-09-13T17:55:34Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/65809
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2011.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 25).en_US
dc.description.abstractThis paper presents and simulates a long-short market-neutral quantitative equity trading strategy for US stocks. First, economic intuition and academic researches for which this trading strategy is based upon will be explained. Second, to ensure that the trading strategy simulation would be as realistic as possible, I will introduce some trading constraints, investment guidelines, and other assumptions/ restrictions about the strategy's backtest setting. Third, I will put in detail how the trading model is built and how the strategy is executed. Fourth, the strategy's backtest result will be presented. Fifth, I will use some risk factors to analyze the strategy's performance as well as compare the strategy's results against these risk factors. Lastly, I conclude with several insights drawn from this research on quantitative investment.en_US
dc.description.statementofresponsibilityby Jack Wen-Hao Liu.en_US
dc.format.extent31 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.titleA quantitative equity strategy based on factors formed by industries in the S&P500en_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc750498676en_US


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