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DC Field | Value | Language |
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dc.contributor.advisor | Rudloff, Birgit | - |
dc.contributor.author | Kang, Leo | - |
dc.date.accessioned | 2014-07-16T18:15:06Z | - |
dc.date.available | 2014-07-16T18:15:06Z | - |
dc.date.created | 2014-06 | - |
dc.date.issued | 2014-07-16 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01js956g00q | - |
dc.description.abstract | In 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 The use of variance as a risk measure in the Markowitz model is clearly outdated and therefore different measures will be introduced into the model to create better risk-adjusted portfolios.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.extent | 71 | en_US |
dc.language.iso | en_US | en_US |
dc.title | Portfolio Optimization from a Risk-Management Perspective A Mathematical Approach to Portfolio Optimization in Risk Management | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2014 | en_US |
pu.department | Operations Research and Financial Engineering | en_US |
Appears in Collections: | Operations Research and Financial Engineering, 2000-2020 |
Files in This Item:
File | Size | Format | |
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KANG leo.pdf | 823.6 kB | Adobe PDF | Request a copy |
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