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Portfolio Optimization for Heavy Tailed Assets<br />

by Using Markowitz Model<br />

Wong Ghee Ching<br />

Supervisor: Dr. Che Mohd Imran Bin Che Taib<br />

Bachelor of Science (Financial Mathematics)<br />

School of Informatics and Applied Mathematics<br />

The theory of portfolio optimization together with Capital Asset Pricing Theory (CAPM)<br />

provides the building blocks in portfolio management. This study poses what is the exact<br />

return distribution, diversification ratio of portfolio, and portfolio’s performance<br />

benchmarked against a relevant market. Therefore, a study is conducted to investigate<br />

the statements to maximize expected returns correspondent with individually acceptable<br />

levels of risk by using Markowitz model. Using historical data from 2007 to 2016, a<br />

backtesting study of the portfolio optimization is performed to find an optimal portfolio.<br />

CAPM is used to measure the portfolios’ performance by associating its comparison with<br />

a relevant market driven benchmarked. Thus, the portfolio shows an optimal weight<br />

structure for investments. The evaluation result indicated that the minimum variance<br />

portfolio optimization may substantially improve the investment performance.<br />

Consequently, this model could help investors and financial institutions to construct an<br />

optimal portfolio with multiple assets by diversifying asset allocation.<br />

904 | UMT UNDERGRADUATE RESEARCH DAY 2018

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