Date of Award
Spring 5-2014
Degree Type
Honors College Thesis
Department
Accounting
First Advisor
Michael Dugan
Advisor Department
Accounting
Abstract
With recent economic instability, bankruptcy prediction is a tool that is useful to companies and researchers who are interested in the financial stability of an industry or company. This thesis studies bankruptcy prediction during the most recent recession that occurred in the United States for General Motors with Ford as a comparison company and compares the possibility of bankruptcy to the price of gold per ounce for the corresponding year. The multiple discriminant analysis model was used to complete this research. This model uses financial ratios to predict bankruptcy. This research yielded an inverse relationship between the price of gold per ounce and the z-scores for both Ford and General Motors. This inverse relationship shows a correlation between bankruptcy prediction and the price of gold.
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
Byrd, Katelin E., "Bankruptcy Prediction, Gold, and the Great Auto Bailout" (2014). Honors Theses. 247.
https://aquila.usm.edu/honors_theses/247