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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01js956g00q
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dc.contributor.advisorRudloff, Birgit-
dc.contributor.authorKang, Leo-
dc.date.accessioned2014-07-16T18:15:06Z-
dc.date.available2014-07-16T18:15:06Z-
dc.date.created2014-06-
dc.date.issued2014-07-16-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01js956g00q-
dc.description.abstractIn finance, we have the mantra of “high-risk, high-return”. However, the aim of Modern Portfolio Theory is to minimize risk for a given level of return or conversely, to maximize return given a certain amount of risk. Taking the Markowitz Mean-Variance framework as a starting point, this paper addresses how you can create risk-minimizing portfolios in order to outperform the market. The use of variance as a risk measure in the Markowitz model is clearly outdated and therefore different measures will be introduced into the model to create better risk-adjusted portfolios. The modifications in the theoretical framework will be tested with historical data, and performance will be compared to that of the benchmark indices and the original Markowitz model.en_US
dc.format.extent71en_US
dc.language.isoen_USen_US
dc.titlePortfolio Optimization from a Risk-Management Perspective A Mathematical Approach to Portfolio Optimization in Risk Managementen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2014en_US
pu.departmentOperations Research and Financial Engineeringen_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2020

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