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http://arks.princeton.edu/ark:/88435/dsp01js956g00q| Title: | Portfolio Optimization from a Risk-Management Perspective A Mathematical Approach to Portfolio Optimization in Risk Management |
| Authors: | Kang, Leo |
| Advisors: | Rudloff, Birgit |
| Department: | Operations Research and Financial Engineering |
| Class Year: | 2014 |
| 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 The use of variance as a risk measure in the Markowitz model is clearly outdated and therefore different measures will be introduced into the model to create better risk-adjusted portfolios.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. |
| Extent: | 71 |
| URI: | http://arks.princeton.edu/ark:/88435/dsp01js956g00q |
| Type of Material: | Princeton University Senior Theses |
| Language: | en_US |
| Appears in Collections: | Operations Research and Financial Engineering, 2000-2019 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| KANG leo.pdf | 823.6 kB | Adobe PDF | Request a copy |
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