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dc.contributor.advisorAndrew W. Lo.en_US
dc.contributor.authorKim, Dongyoung, M. Eng. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T16:29:37Z
dc.date.available2016-12-22T16:29:37Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/106115
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 69-70).en_US
dc.description.abstractIn this paper, we apply spectral analysis tools to portfolio management. Recognizing volatility and factor beta as major risk sources, we analyze the short-term and longterm components of risk for any given portfolio. We model the portfolio weights as an LTI system filter and describe how the risk metrics behave as one holes the portfolio over increasing horizon. Then, we propose dynamic portfolios to shift frequency-specific risks without changing the investment period or net dollar exposure.en_US
dc.description.statementofresponsibilityby Dongyoung Kim.en_US
dc.format.extent70 pagesen_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.subjectElectrical Engineering and Computer Science.en_US
dc.titleSpectral factor model and risk analysisen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc965797043en_US


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