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Stander Symposium abstract book - University of Dayton

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9:00 AM to 10:30 AM<br />

Do Dividends Matter: An empirical analysis <strong>of</strong> the impact <strong>of</strong> dividends on portfolio stock<br />

selection, portfolio weights, and portfolio returns for S&P 500 stocks over the period<br />

2005-2010<br />

Presenter(s): Gregory J Castell<br />

Advisor(s): Robert D Dean, John E Rapp<br />

Economics and Finance - Honors Thesis<br />

Because <strong>of</strong> a growing number <strong>of</strong> dividend-focused portfolios today, the critical issue is whether or not these types <strong>of</strong> portfolios create alpha.<br />

Therefore, the purpose <strong>of</strong> this study is to determine if a portfolio <strong>of</strong> stocks focused on dividends can create alpha (i.e. excess returns) in both declining<br />

and rising stock markets. Holding constant such key factors as valuation, earnings growth, and pr<strong>of</strong>itability, at the margin, I have assumed<br />

the critical dividend factors in determining alpha are dividend yield, dividend growth, and dividend payout ratio. To test the hypothesis that one<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 />

Identifying Portfolio Investment Strategies for High Quality Ranked Stocks in the Highly<br />

Volatile Market Period 2008-2011<br />

Presenter(s): Mary H Viertel<br />

Advisor(s): Robert D Dean, John E Rapp<br />

Economics and Finance - Independent Research<br />

In highly volatile market periods, many investors tend to reduce their risk by purchasing large cap, higher quality stocks. The purpose <strong>of</strong> this study,<br />

controlling for firm size, is to evaluate different portfolio weighting strategies based on valuation, operating efficiency, and pr<strong>of</strong>itability. For this<br />

study, the analysis is on very large cap stocks called mega cap stocks. Returns for this size group will be first determined based on market cap<br />

weightings. These returns will be considered the benchmarks against which all other returns will be measured. Within each size group, portfolio<br />

weightings will also be constructed based on valuation, operating efficiency, and pr<strong>of</strong>itability measures. The particular metrics, in sequence, are<br />

price to <strong>book</strong>, operating margins, and return on assets. Returns for each year and for the complete period will be calculated for each <strong>of</strong> these<br />

weighting strategies and compared to the returns for the benchmark portfolio, as well as the S&P 500. Results <strong>of</strong> the analysis are forthcoming.<br />

Identifying upside and downside performance potential for Flyer Fund Stocks in the high<br />

volatile market period, 2007-2011.<br />

Presenter(s): Catherine G Camerota, Jacob A Recker, Kelsey E Stroble<br />

Advisor(s): Robert D Dean, John E Rapp<br />

Economics and Finance - Independent Research<br />

The purposer <strong>of</strong> this study is to determine if historical measures <strong>of</strong> upside and downside capture ratios can be used to determine the future performance<br />

<strong>of</strong> Flyer Fund stocks. Monthly upside and downside capture ratios were calculated for 20 Flyer Fund stocks over the period 2007-2012.<br />

Using cross sectional regression analysis, the returns for the 20 stocks in 2011 were regressed on the average upside and downside capture ratios<br />

for each stock calculated over the 07-10 period. The results indicate that a combination upside/downside capture ratio is useful in predicting<br />

shortterm stock performance.<br />

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