Business Cycle Patterns, Portfolio Weighting, and S&P Industrial Stock Returns: An Empirical Analysis 2006-2016
Presenter(s)
Nicholas C Jacobs
Files
Description
In this study, I explain the returns of Industrial sector stocks during a period where both a downturn phase and a rebound phase in the U.S. economy occur. Using the profitability factor ROE, I test the hypothesis that a concentrated portfolio of ROE weighted Industrial sector stocks outperforms the S&P SPDR ETF (XLI) as well as SPY, the S&P 500 SPDR ETF. In addition, I use a stock weighting scheme based on the standard deviation of individual stocks and assume both "risk on" and "risk off" market conditions operate throughout the time period.
Publication Date
4-5-2017
Project Designation
Independent Research - Undergraduate
Primary Advisor
Trevor C. Collier
Primary Advisor's Department
Economics and Finance
Keywords
Stander Symposium project
Recommended Citation
"Business Cycle Patterns, Portfolio Weighting, and S&P Industrial Stock Returns: An Empirical Analysis 2006-2016" (2017). Stander Symposium Projects. 885.
https://ecommons.udayton.edu/stander_posters/885