Presenter(s)
Nathan Jabaay, Kevin Cullen
Files
Download Project (76 KB)
Description
In this study, I use firm revenue growth as my factor weight. I carry out two empirical tests: (1) my revenue growth factor based portfolio weighing model outperforms an equal weight portfolio model over the period 2009-2022; (2) firm revenue growth is a priced-in risk factor in the equity market. For my first test, I compare the long run cumulative returns for the revenue growth factor based portfolio weighing model to the returns for the equal weight portfolio, 2009-2022. For my second test, I determine if my portfolio weighing model generates excess returns over the broad market benchmark, the S&P 500 index, for the period 2009-2022. I use two investment strategies, a buy and hold strategy and an adjustable shares strategy, to generate the returns for my portfolio weighing model.
Publication Date
4-19-2023
Project Designation
Independent Research
Primary Advisor
Jon Fulkerson, Robert Dean
Primary Advisor's Department
Economics and Finance
Keywords
Stander Symposium, School of Business Administration
Institutional Learning Goals
Scholarship
Recommended Citation
"A Factor Based Portfolio Weighing Model for the S&P 500 Health Care Sector (XLV): An Empirical Analysis of Portfolio Returns, 2009-2022" (2023). Stander Symposium Projects. 2848.
https://ecommons.udayton.edu/stander_posters/2848
Comments
Presentation: 9:00-10:15 a.m., Kennedy Union Ballroom