Date of Award
5-2020
Degree Type
Honors College Thesis
Department
Finance, Real Estate, and Business Law
First Advisor
Kimberly Goodwin, Ph.D.
Advisor Department
Finance, Real Estate, and Business Law
Abstract
The cost of housing is one of the biggest recurring expenses Americans face. Real estate is also one of the largest asset classes of investments today. The decision of whether or not it is the right time to purchase a piece of residential real estate can be difficult for the everyday person as well as professionals. With the recent downturn of 2008, many people are reminded that the price of houses can spiral upward, and if one bought at the wrong time, their house could lose a tremendous portion of its value. This study focuses on looking at different economic measures and finding relationships between them and the cost of renting vs buying. The results of this study will hopefully help investors decide if market prices are too high based upon multiple factors.
Copyright
Copyright for this thesis is owned by the author. It may be freely accessed by all users. However, any reuse or reproduction not covered by the exceptions of the Fair Use or Educational Use clauses of U.S. Copyright Law or without permission of the copyright holder may be a violation of federal law. Contact the administrator if you have additional questions.
Recommended Citation
Niehaus, Jonathan K., "Using Buy and Rent Discrepancies to Predict Real Estate Bubbles" (2020). Honors Theses. 733.
https://aquila.usm.edu/honors_theses/733