Predicting Unemployment Rates

Predicting Unemployment Rates Using the Stock Market

Presenter: John Carter

Co-Presenter(s):
Stephen Gomez, Anthony Hutchins

Presenter Status: Undergraduate student

Academic Year: 20-21

Semester: Spring

Faculty Mentor: Elaine Newman

Department: Mathematics

Screenshot URL: https://drive.google.com/uc?id=1jnq-fySQWGX1hmK0lVORpKk-yXNkvgc-

Abstract:
The purpose of this analysis is to assess if the percentage of unemployed adults in the United States could be predicted by using the monthly average high stock prices of various companies specializing in technology, alcohol, and two of the major indices (S&P 500, NASDAQ).  This dataset is a compilation of data collected from the U.S. Bureau of Labor Statistics, Yahoo Finance, and Investopedia.com.  The data was statistically analyzed  using techniqes of multiple regression.