More than 700 students submitted over 300 individual and team research projects to present at the annual Stander Symposium on April 22, 2021. Students chose to share their research in a variety of ways: downloadable posters and papers; live presentations on Zoom; recorded presentations; and safe-distance live presentations from front porches and other locations on campus. Browse the gallery below or search for specific research projects using the search function at the top left of the screen.
This gallery contains projects from the 2021 Stander Symposium by students, faculty and staff in the School of Business Administration
A 3 Factor Portfolio Weighting Model for Select Stocks in the Consumer Discretionary Sector: An Empirical Analysis from 2009-2019
Emily Keller, Daniel Collins Montgomery
In this study we developed a 3 factor Portfolio weighting model for a concentrated portfolio of consumer discretionary stocks. The principal factors are sales growth(SG), gross operating profit (GOP), and short term(one-year) price momentum. The Period of analysis was 2009-2019. The factor weights for sales growth and gross operating profits are the slope coefficients from time trend univariate regressions with SG and GOP the Y-variables(in Logs) and time as the x-variable. The original shares held in each stock is adjusted yearly based on the short term price momentum in each stock. We test the hypothesis that the 3 factor weighting model generates excess returns over the S&P 500 broad market index for the period 2009-2019. Two factor weighting models are evaluated: (1) constant shares model, (2) adjusted shares model.
Collin Bergin, Benjamin Michael Colwell, Kyle J. Crail, Kayleigh Ann Duke, Betsey Bernice Fisher, Joseph Guay, Matthew Albert Harsar, Matthew Hess, Allison Nicole Iklodi, Morgan Elizabeth Jewett, Lindsey Lawrence, Anna Grace Madison, Andrew Rothstein
Join Master of Professional Accountancy students in ACC 703 - Accounting for Community as they use their hearts and minds to pitch a not-for-profit organization to potential donors. This course project requires students to identify an existing not-for-profit organization that they believe has a persuasive mission and to analyze the organization and its programs to explain why donors should financially support the organization. At least $1,000 is on the line. Winning organizations will be announced after Stander. Each pitch and corresponding audience questions will be approximately 12 minutes. Four pitch presentations will occur each hour, with a brief break prior to 2:00 and 3:00. You are welcome to join any time!
Matthew Brian Best, Taylor E. Genier, Ashley Alma Sheetz, Richard Anthony Warfield
MIS- Traffic & Weather Mapping
A Kurtosis Based Portfolio Factor Weighting Model for 5 Glamour Stocks: An Empirical Analysis 2009-2019
Graham Thomas Trueman, Camille Rhiann Lubic
Glamour stocks like MasterCard, Apple, Amazon, Netflix, and Google have enjoyed tremendous returns over the last several years as investors can't seem to buy enough of their shares. In this study we examine the relative performance of each stock when it is portfolio weighted by the fourth moment of its return distribution around its mean i.e., kurtosis (k). Beginning in 2009, we calculate the 12 month K for each of the 5 glamour stocks and assign a weight (the higher the k the higher the weight) that determines the shares invested in each stock (The overall initial investment is $1,000,000). The original shares are adjusted each year based on the yearly changes in the k values. The 5 stock portfolio returns are compared to the S&P 500 index as well as an equal weighted portfolio of the 5 stocks. The hypothesis that we test are; (1. The cumulative returns of the k weighted 5 stock portfolio outperform SPY cumulative returns and 2. The cumulative return of the k weighted 5 stock portfolio outperform the equally weighted 5 stock portfolio. 3. Returns to each of the 5 stocks are directly related to k i.e. the higher the k, the higher the returns on both an annual and cumulative basis.
Nolan B. Scott
The research I have conducted to date has been formed around a basic understanding of the projectmanagement environment: Identifying stakeholders, identifying metrics, and analyzing specific aspects ofagile development. This has led to a variety of questions around scope management such as “How doscope changes impact the velocity throughout the course of a project?”, “What factors help determine theoverall viability of adopting different scope measures?”, and “What are the roles of project owners andmanagers in facilitating scope changes in project cycles?” This research encompasses a review ofprevious literature, an analysis of structured project progression, and semi-structured interviews in orderto investigate the evolution of scope management and needs identification in agile methodologies.
A Three Factor Portfolio Weighting Model for Select Stocks in the Healthcare Sector: Empirical Analysis, 2009-2019
Alec W. Gizzie, Trenton Brian Zoeller
In this study we look at impact the of revenue growth, operating profit and relative price momentum on the return performance of the top ten stocks (by market value) in the S&P 500 Healthcare Sector over the period 2009-2019. We develop a 3 factor portfolio weighting model and compare the performance of this model to the broad market index S&P 500. Using time trend regressions with revenue growth and operating profits as the Y variables and time as the X variable, we take the slope coefficients from the regressions as the original weights for our model. We use the yearly relative price momentum to adjust the weights annually. We test the hypothesis that combined, revenue, growth, and operating profits are priced-in risk factors i.e, they generate excess returns over the market.
A Two-Factor Portfolio Model for 6 SPDR Sectors with Industrial Production the “State” Economic Variable: An Empirical Analysis 2009-2019
Nicholas Allen Cragon
In this study, I follow the Stephen Ross/Robert Merton approach and develop a portfolio factor weighting model for 6 SPDR sectors using the "State" economic variable Industrial Production as my principal factor loading. The 6 SPDR sectors making up my portfolio are: (1) Consumer Staples, (2) Consumer Discretionary, (3) Healthcare, (4) Industrials, (5) Information Technology, and (6) Utilities. I test two hypotheses: (1) the 6 SPDR sector Industrial Production factor weighting model generates excess returns over the broad market index S&P 500 i.e. it is a priced-in risk factor. (2) It has persistence in excess returns over a long period of time. The period of analysis is 2009-2019, a long-term bull market for U.S. equities.
A Two-Factor Portfolio Weighting Model for 6 SPDR Sectors with Consumer Credit the "State" Economic Variable: An Empirical Analysis 2009-2019
Reed Thomas Aleck
The first objective of this study is to test the hypothesis that the state economic variable U.S. consumer credit is a priced in risk factor in the U.S. equity market. A second objective is to determine if a consumer credit derived factor weighted portfolio model shows persistence in generating excess returns over the broad market index S&P 500 over a long period of time. The period of analysis is 2009-2019. The actual factor weights are long and short term price momentum for the 6 SPDR sector ETFs: (1) Consumer Staples, (2) Consumer Discretionary, (3) Industrials, (4) Healthcare, (5) Information Technology, and (6) Financials. Two portfolio models are evaluated: (1) constant share model and (2) adjustable shares model.
A Two Factor Portfolio Weighting Model with Wages and Salaries as the State Economic Variable: An Empirical Analysis 2009-2019
Benjamin Louis France
In this study I develop a five SPDR sector portfolio with the principal factor U.S wages and salaries. I use three measures of wages and salaries: (1) Wages and Salaries-Private (WS-P) (2) Wages and Salaries-Goods (WS-G) and (3) Wages and Salaries-Services (WS-S). The SPDR sectors included in my portfolio weighting model are (1) Consumer Staples, (2) Consumer Discretionary, (3) Industrials, (4) Healthcare, and (5) Information Technology. Using monthly data over the 2009-2019 time period, I regress Wages and Salaries on the Price Index for each SPDR sector to obtain a long-term measure of sector price momentum (the regression slope coefficients). The long-term price momentum becomes the original sector portfolio weight which in turn determines the beginning shares held in a sector. After the first year, the original shares are adjusted up or down based on the yearly changes in each sector's price index. I test two hypotheses: (1) The five SPDR sector portfolio outperforms the S&P 500 over the 2009-2019 time period i.e, the state economic variable is a priced in risk factor. (2) The five SPDR sector portfolio shows persistence in excess returns over the S&P 500.
Lauren E. Luechtefeld, Chris J. Meyers, Nathaniel J. Neading, Blake Geoffrey Warren
Maintenance Inventory Management Project
Liliana F. Capelli, Sydney H. Griger, Michael Travisano, Gregory Marc Zlatkin
CLG Datacenter...new DC & Software to improve flexibility/access/visualization
Ryan W. McEvily
In mid February 2020, the U.S. Equity market experienced a sharp decline in stock prices due to the Covid-19 pandemic. Near the end of March, the stock market had an initial rebound and has continued an upward trend throughout the remainder of 2020 and into 2021 as Covid-19 vaccines plus fiscal stimulus packages have given investors renewed hope the the economy and equity markets will continue to normalize.In this study, my objective is to analyze the returns during the initial decline and rebound period for a number of size/style investment indexes offered to investors by Willshire. Size is identified as large and small while style is identified as value and growth. The size/style investment indexes are also dimensionalised by market value weighting and price weighting. I test the following hypotheses: (1) Large cap indexes outperform small cap indexes on the downswing, while small cap indexes outperform large cap indexes in the upswing period. (2) Value outperforms growth in the downswing while growth outperforms value in the upswing. (3) Market value weighted indexes outperform price weighted indexes in the downswing and price weighted indexes outperform market weighted indexes in the upswing.
Michael F. Kane
In this study I look at the relationship between stock market volatility (measured by the VIX) and 5 S&P Sector ETF's over the early stages of the COVID-19 pandemic in the United States. The 5 SPDR sectors are Consumer Discretionary (XLY), Consumer Staples (XLP), Industrials (XLI), Healthcare (XLV), and Information Technology (XLK). I use uni-variate regression analysis to specify the linear relationship between the sector price indexes (Y) and VIX (X). Both a down swing (from mid February to late March) and an upswing (from late March to mid summer) periods are modeled. I test the following hypotheses: (1) There is an inverse relationship between sector price indexes and the VIX, (2) During the down swing period, the growth sectors XLY and XLK showed the sharpest declines in their price indexes and (3) during the upswing period the growth sectors, XLY and XLK showed the largest increases in their price indexes.
John P. Auer, Margaret Lavelle Hutter, Emily A. Reynolds, Andrew Jacob Smolek
Cyber Range assessment and scoring portfolio for OCRI
Patrick M. Breitenstein, Peyton Andrew Huth, Robert Thomas Pearson, Matthew David Westman
Locus Robotic Optimization Review
Thomas Abrams, Brandon D. Adams, Brian Patrick Allspaw, Carleigh Joy Baum, Gavin Alexander Bicknell, Christopher J. Birck, Ethan M. Bogan, Benjamin Bussen, Antonio J. Concha, Natalie M. Coppolino, Michael Anthony Cortese, Kyle Joseph DeSantis, Allison Ann Edwards, Mitchell Scott Erickson, Michael Andrew Fields, Hunter R. Folan, Michael E. Francis, Kaitlyn M. Fullenkamp, Benjamin Romohr Furash, Nicholas William Garth, Joseph W. Guehring, Tia Anastasia Hachwa, Maeve Murnane Harrington, Allison Rose Keith, Maximilian B. Kirk, Bridget Bozena Krysztopa, Benjamin F. Lally, Amira Elizabeth Learst-Ahmed, Ethan Thomas Letsch, Lauren E. Luechtefeld, John Kameron Milliken, Matthew F. Mittelstaedt, Jacob Robert Pieniazek, Dillon J. Pietrangelo, Hamza Nasser Majid Mansoor Rumhi, Danielle M. Savovich, Matthew Brian Shea, Madison Sinclair Sheets, William Henry Sloyan, Conrad Harrison Tubbs, Adam L. Uhlenbrock, Mitchell Alexander Walsh, Osa M. Wheeler, Lauren P. Williams, Nolan Patrick Yager
Four years of coursework culminate in a written and oral presentation of an empirical research project during the senior capstone course. Students apply economic theory and econometric techniques to analyze data in order to answer an original research question.
Abigail M. Bitto, Stephen V. Gerace, Nick Charles Rutledge, Danielle M. Savovich
Corporate Hqt & Branch Inventory Rationalization/Management
Elizabeth Rose Anderson, Kelly J. Bailey, Natalie Rose Barendt, Charles William Duross, Eric W. Fisk, Bryan Johnson, Matthew Thomas Martin, Mary Claire Mikolay
Flyer Consulting shares the past, present, and future of their organization. In this Stander Symposium keynote they feature past clients, current projects, and future initiatives. Audience members will have the opportunity to hear from the management team, project leads, and intern class, as well as learn about ways to get involved in the future.
Carolyn Claire Haney, Maxwell William Higgins, Trent Kingan, Samara Grace Perkinson
Flyer Enterprises is one of the largest completely student-run corporations in the world. We operate 10 divisions at the University of Dayton ranging from coffee and smoothies to e-commerce. Flyer Enterprises provides a competitive advantage for our employees by offering unparalleled, hands-on learning opportunities that expand beyond the classroom. Join us to talk with members of the executive team about current and future plans for the company, and learn how we serve our community For Flyers, By Flyers.
Amber Y. Blazek, Lillian Margaret Dickman, Grace C. Durbin, Kelly Elizabeth Howard
Material Flow Improvement
Bradley Russell Gottemoeller, Colleen Elizabeth Jutte, Samuel Edward Reardon, Colin Douglas Wuebker
Improve Processes to optimize business workflows
Mason D. Kleinhenz, Ryan D. Lederle, Charles A. Schoen
Private Mediation Consultant...Develop Online Systems
Michael William Krug, Danielle B. Lewis, Kate Elizabeth Nawrocki, Adam P. Roe
JJRS Pulse-Microsoft SharePoint/MS Project Integration
Carmen J. DiGeronimo, Brandon D. Easterling, John P. Mccarthy, XiuLin Wu
KPMG Cyber Response Incident Response Range-Cloud Implementation
Breanne M. Greene, Mary Ann Tully
In this study, we look at inflation trends pre and post the 2008 "great" recession to determine if there was a recession effect on inflation. The following measures of inflation are used in the study: (1) CIP-ALL, (2) CPI- Less Food and Energy, (3) Personal Consumption Expenditures (PCE), (4) Employment Cost Index (ECI). We test several hypothesis; (1) inflation rates post 2008 recession are lower than inflation rates pre 2008 recession, (2) CPI inflation measures trend higher than PCE measures, (3) ECI cost inflation measures post 2008 rend lower than pre 2008 measures, (4) lower demand poll inflation measures (e.g. CPI-ALL) post 2008 recession are partly due to lower cost push inflation measures (ECI) post 2008 recession.