Date of Award

2019

Type

Thesis

Major

Mathematics

Degree Type

Bachelor of Science

Department

Mathematics and Philosophy

First Advisor

Kristin Seamon Lilly

Second Advisor

Ronald Linton

Third Advisor

Brett Cotten

Abstract

This project aims to identify a possible statistical relationship between the stock market and incidences of financial crime in Illinois, Texas, and Utah through big data analysis techniques using data from the FBI’s Federal Bureau of Investigation’s National Incident-Based Reporting System (NIBRS) database. By analyzing the occurrences of financial crime by location, year, and type in relation to the S&P 500’s percent change in close price on the first day of the calendar year, it will be possible to determine if a statistical relationship exists between the two. In addition, regression analysis was performed in order to predict financial crime incidence using stock market prices.

Included in

Mathematics Commons

Share

COinS