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Full-Text Articles in Business
Regression: A Deep Dive Into Truck Prices, Alura Lovell
Regression: A Deep Dive Into Truck Prices, Alura Lovell
Undergraduate Research Conference
This regression analysis examines variables affecting used truck pricing and offers insight into the automotive demand factors. This study dives into the process of determining the prices of Ford F150 Supercabs and comparable Chevrolet Silverados. The primary objective is to develop a model that looks at the pricing dynamics, considering factors such as age, mileage, accidents, and brand.
Examining Volatility Spikes In The Financial Sector Etf, Ethan Johnston
Examining Volatility Spikes In The Financial Sector Etf, Ethan Johnston
Undergraduate Research Conference
I used the GARCH to detect if the financial sector ETF, XLF, exhibits return volatility spikes following Federal Reserve interest rate announcements.
Testing Multiple Index Models To Predict The Returns Of Fixed Income Etfs, Ngoc Hoang
Testing Multiple Index Models To Predict The Returns Of Fixed Income Etfs, Ngoc Hoang
Undergraduate Research Conference
Objectives: Models of different complexities can explain asset return. This study: a) examines how variants of index models predict results in 6-month and 12-month periods out of sample b) examines how variants of index models whether their predictions are biased
Development Of An Excel Tool For Retirement Planning, Avery Johnston
Development Of An Excel Tool For Retirement Planning, Avery Johnston
Undergraduate Research Conference
Preparing for retirement is a difficult and intimidating process that requires a great deal of planning and preparation. I developed a user-friendly Excel tool that illustrates the balance of a retirement account over time. The user can manipulate key variables by using the sliders. The tool performs all the calculations and displays the running balance in a graph.
2021 American Housing, Hana Roers, Toby Sherman
2021 American Housing, Hana Roers, Toby Sherman
Undergraduate Research Conference
No abstract provided.