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In this study, I apply the Markovitz Model(“MM”) and Index Model(“IM”). These Portfolio Optimization models estimate and optimize U.S. equity portfolios with some realistic additional constraints. I was given a recent 20 years of historical daily total return data for ten stocks, which belong in groups to three different sectors (according to Yahoo! Finance), one (S&P 500) equity index (a total of eleven risky assets), and a proxy for risk-free rate (1-month Fed Funds rate). I aggregate the daily data to the monthly observations, and based on those monthly observations, I calculate all proper optimization inputs for the full Markowitz Model (“MM”) alongside the Index Model (“IM”). We use the optimization inputs (“IM”) and (“MM”) to explore some additional constraints.
Shengyuan Wang (Tue,) studied this question.
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