Stander Symposium: School of Business Administration

Printing is not supported at the primary Gallery Thumbnail page. Please first navigate to a specific Image before printing.

Switch View to Grid View Slideshow

5Y Sector CAGR by Return and Rank since 1990

Sarah Claiborne, Sean Dee

For our project, we calculated the single year return for each of the sectors of the S&P 500 (excluding real estate) since January 1, 1990. After calculating the single year return, we created a table to visualize returns compared to the benchmark. In this table, we can observe how industries returned nominally when directly related to the S&P 500. This table reaffirms our findings in the 5-year period as each sector can have multiple years of either over or underperforming the index. This allows us to conclude that performance in a single year does not necessarily drive a mean reverting tendency in a one-year period but may possess a mean reverting tendency over a longer time frame. The next step in confirming this would be creating a regression that lags the performance of each sector. This can help us determine with statistical confidence over various time periods. In the short-term momentum appears to be a determinate of results, but potentially shifting as the time gets stretched longer.
Benchmarking Sustainable Procurement for Higher Education: Procurement for the Common Good - Spring 2025 Update

Angelo Catapano

I will be presenting my current research regarding the vendors of the University of Dayton. The goal of my work is to understand these vendors from a sustainable perspective, both for the environment and social considerations, and see how their goals align with those of UD. Topics of discussion will include data collection methods, interpretation of such data, and a fundamental understanding of UD goals for vendors.
Creating Equitable, Ethical, and Sustainable Computing Solutions: The Theory and Feasibility of Building A Globally Scaled Community Cloud

Nicholas Lloyd

As technological infrastructure becomes more advanced and expensive, companies have started to turn to “the cloud”, a term that has been used by many companies for at least a decade. It was designed to make things easier and cheaper for businesses. However, it has become more cumbersome and generally more expensive than a traditional on premises solution. To provide a good experience for everyone, the hardware requirements need to be current, but not unobtainable. There also needs to be a standard for how these compute resources are virtually stored, meaning that a distributed, hyperconverged, or parallel filesystem is required. The providers must also have a good method for giving secure network access to the user’s compute resources, whether it is bare metal or virtual. There may also need to be downtime for providers, so there must be a way to communicate with customers when those downtimes are, and how long of a notice is required. With all these requirements and considerations, how are we going to ensure that providers are being honest and abiding by the rules? My research will thoroughly describe the inquisitions, research, and a proof-of-concept deployment of this idea that compute resources can be created, run, and governed by a community for the betterment of everyone.
Empirical Research Presentations in Economics

Ryan Andersen, Andrew Bergin, Emily Bruns, Peter Burke, Mark Burns, Allison Caines, Luke Canan, Thomas Cloran, Patrick Conlon, Rowan Conroy, Michael Cooney, Dylan Crouch, Ashley Crumb, Aidan Cseh, Michael Dahill, Katie Dailey, Dylan Davidson, Thomas Fogarty, Kyle Gewinner, Joseph Giagrande, Kathleen Hattrup, Carson Impastato, Ayden Johnson, Tyler Juliano, Shelby LaMattina, Jake Medvetz, Kevin O'Connell, Meryem Ozcan, Samuel Peters, Maurice Reilly, Julia Reinker, Cady Rhea, Eric Rice, Mason Robbins, Evan Scholz, Benjamin Smith, Andrew Trybus, Daniel Turpel, Charles Valentincic, Caleb Webb

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.
Global Terrorism Dashboard

Thy Anh Tran

This project presents an interactive Global Terrorism Dashboard designed to explore terrorism incidents worldwide. Using Dash and Plotly, the dashboard provides a visual representation of attack patterns, target types, and fatalities, wounds across different regions and countries. Users can select a region and country to view relevant data through a choropleth map and a sunburst chart, offering insights into the scale and nature of terrorist activities. The dashboard aims to make complex data more accessible by allowing users to interactively filter and analyze terrorism trends. By visualizing fatality rates and attack distributions, this tool can help researchers, policymakers, and security professionals better understand the impact of terrorism in different areas. The project highlights the importance of data visualization in identifying patterns and making informed decisions based on historical data.
Saturn Sports Business Pitch

Henry Veeneman

This presentation features a startup business pitch by senior Hank Veeneman, founder and CEO of Saturn Sports. Founded by University of Dayton students, Saturn Sports is dedicated to advancing sports safety through innovative technology. Their current focus is enhancing helmet security in football, recognizing that a properly tightened chinstrap is crucial for player protection. Many athletes fail to fully secure their chinstraps, increasing the risks of injury. Saturn Sports is developing a cutting-edge solution to ensure proper chinstrap tightening, improving safety and reducing injuries at all levels of the game.
Sector Return Cyclicality: Investigating the Relationship Between Past and Future Performance

Christopher Casey, Dominic Fiorilli, Kylie Jackson, Michael Kondritz, Jordan Nelson, Cannon Spelman

For this project, we are analyzing whether sector returns and outperformance relative to the S&P 500 have a predictive relationship with future performance. Using historical sector data dating back to January 1, 1990, we will run regressions across multiple time horizons ranging from 1 to 10 years to test for cyclicality and determine whether past outperforming sectors are more likely to continue outperforming or revert to underperformance. By identifying potential patterns in sector returns over different time frames, this analysis aims to assess whether cyclical trends exist and if they could be used to inform investment decisions. Future steps include evaluating the strength and consistency of these relationships and exploring additional statistical techniques, such as lagged regressions, to refine the findings.
Single Year Sector Return Compared to S&P 500 since 1990

Michael Jablonski, Chasen Kern

For our project, we calculated the single year return for each of the sectors of the S&P 500 (excluding real estate) since January 1, 1990. After calculating the single year return, we created a table to visualize returns compared to the benchmark. In this table, we can observe how industries returned nominally when directly related to the S&P 500. This table reaffirms our findings in the 5-year period as each sector can have multiple years of either over or underperforming the index. This allows us to conclude that performance in a single year does not necessarily drive a mean reverting tendency in a one-year period but may possess a mean reverting tendency over a longer time frame. The next step in confirming this would be creating a regression that lags the performance of each sector. This can help us determine with statistical confidence over various time periods. In the short-term momentum appears to be a determinate of results, but potentially shifting as the time gets stretched longer.
Tesla, Inc.: A Financial Pivot from "Production Hell" to Profitability—An Equity Valuation and Risk Analysis

Huynh Trong Thuc Truong

This paper conducts a thorough financial analysis and valuation of Tesla, Inc. (TSLA), a market leader in the electric vehicle and clean energy sectors. The research investigates Tesla's economic turnaround, highlighting its transformation from a cost-burdened automaker into a highly profitable enterprise. Key performance metrics such as liquidity ratios, return on equity, and capital structure are evaluated, indicating enhanced short-term solvency and a shift from debt-to-equity financing. The report also includes a scenario analysis and utilizes the discounted cash flow (DCF) model to estimate the intrinsic value of TSLA stock, revealing a valuation relative to the current market price.
Variance Analysis of Sector Returns since 1990

Kevin Cullen, Dominik Daly

For our project, we conducted a variance analysis of sector returns within the S&P 500 (excluding real estate) since January 1, 1990. This analysis aimed to examine the variability of returns across sectors in relation to the overall market index. By assessing the standard deviation of sector returns over different time periods, we were able to quantify the extent to which each sector’s performance fluctuated compared to the benchmark.The findings revealed that Consumer Staples consistently outperformed other sectors, exhibiting the most stable and favorable returns over time. On the other hand, Communication Services showed the highest level of return volatility, performing the worst in comparison to the broader market and other sectors. This suggests that Consumer Staples have been a safer, more resilient sector for investors, while Communication Services have faced greater fluctuations, potentially making it a riskier investment choice over the long term.