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Stander Symposium abstract book - University of Dayton

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9:00 AM to 5:00 PM<br />

or a combination <strong>of</strong> the above dividend factors can contribute to a portfolio’s alpha, I will develop a “baseline” portfolio that has these general<br />

parameters: [1] the stocks in the portfolio will have Price to Earnings Ratios below the market, [2] their expected growth rate in earnings is greater<br />

than the market, and [3] the return on common equity will be higher than the market. The stocks in the baseline portfolio will then be weighted<br />

respectively by their dividend yield, dividend growth rate, and dividend payout ratio for the periods 2005-2010, allowing for yearly rebalancing.<br />

The portfolio returns will be compared to the S&P 500 market returns over the same time periods to determine if alpha was created. I will also<br />

calculate information ratios for the various dividend portfolios to determine risk-adjusted excess returns.<br />

Modeling the Optimal Asset Allocation Based on the Markowitz Modern Portfolio Theory<br />

Presenter(s): Jonathan W Castleton, Christopher K MacIno<br />

Advisor(s): Ting J Zhang<br />

Economics and Finance<br />

3:40 PM-4:40 PM<br />

Course Project, 12_SP_FIN_460_01 Miriam Hall - 213<br />

We will utilize Excel to model the optimal portfolio asset allocation based on the Modern Portfolio Theory developed by Nobel Laureate Henry<br />

Markowitz. The research question is: Given a certain level <strong>of</strong> an investor’s risk aversion, what is the optimal asset allocation that will generate<br />

the highest utility? Following Markowitz’s mean-variance (M-V) framework, we will analyze the trade<strong>of</strong>f between risk and return for a portfolio<br />

containing two financial assets; namely, stocks and Treasury bonds. We will first estimate the mean, variance, and the correlation for the returns<br />

on the two assets based on historical monthly data from 1926 to 1994. Next, we will construct the efficient frontier, which represents a set <strong>of</strong><br />

portfolios with various asset mixes between stocks and Treasury bonds that maximizes the expected portfolio returns at each level <strong>of</strong> portfolio risk<br />

(or conversely minimizes the portfolio risk at each level <strong>of</strong> the expected portfolio return). Toward this end, we will utilize the Excel Solver function<br />

to minimize the standard deviation (or variance) <strong>of</strong> the portfolio, by choosing the optimal asset weights for stocks and Treasury bonds, subject to<br />

an investor’s budget constraints. The minimum variance portfolio (MVP) will also be identified. Finally, we will consider an investors’ risk preference<br />

(measured by the risk aversion coefficient or ³) to determine the optimal portfolio asset allocation that will maximize the investor’s utility.<br />

This project represents a direct application <strong>of</strong> the well-known Markowitz Modern Portfolio Theory, which has been widely used by the investment<br />

industry. A number <strong>of</strong> studies have shown that the asset allocation theory, on average, can explain over 90 percent <strong>of</strong> the variability <strong>of</strong> the total<br />

return <strong>of</strong> a portfolio. This project arguably has important practical applications as it can assist both individual and institutional investors in achieving<br />

their investment goals by determining the optimal asset allocation.<br />

MANAGEMENT AND MARKETING<br />

The P&G Marketing Challenge<br />

Presenter(s): Megan E Christy, Elizabeth C Leavy, Carolyne R Nebel, Martha V Sitkiewicz<br />

Advisor(s): Irene J Dickey<br />

Management and Marketing<br />

2:20 PM-3:20 PM<br />

Independent Research Miriam Hall - 214<br />

Each semester one <strong>of</strong> Procter & Gambles 300 brands and their brand managers sponsor this unique and intense competition between four teams<br />

<strong>of</strong> our best marketing students. Students compete to get a spot in the competition then compete against other teams to help this brand achieve<br />

its business goals. Students are given an actual marketing problem or opportunity and participate in a P&G “onboarding” where they are exposed<br />

to confidential corporate data and information. They then work all semester, engaging in extensive research in order to develop recommendations<br />

that are viable, actionable, unique and will accomplish the business goals defined by P&G. P&G implements many student recommendations. See<br />

some <strong>of</strong> the amazing work that UD SBA students do!<br />

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