Probability Analysis of the Relationship Between Share Price and ESG Ratings in the Aerospace & Defense Industry
Presenter(s)
John Richard Coffey
Files
Description
ESG is an evolving niche in the financial markets, as investors attempt to identify the companies that best fit with their own values. Aerospace and Defense firms are under constant scrutiny for their involvement in global warfare and contributions to the airline industry, one of the most fuel-intensive industries outside of Oil and Gas. The objective of this research is to determine which metrics within ESG impact share prices for the Aerospace and Defense industry most and build a probability model to measure the potential impact ESG has on share price movement. ESG scores for individual metrics such as Air Quality and Energy Management in Environmental and Customer Welfare and Data Security in Social. Regressions were then run with the scores for each ESG metrics run against a firm’s share price to measure correlation. Correlation was generally weak across most metrics; metrics with above 50% correlation were chosen to develop the probability model. Highest correlation was found among Social metrics, likely explained by the social impact defense companies have on war torn countries. The correlations were used to build a conditional joint probability model that determined the likelihood that a change in share price was caused by changes in one of the key ESG scores. A probability was determined, however low correlations brought into question the accuracy of the model.
Publication Date
4-20-2022
Project Designation
Capstone Project
Primary Advisor
Ruihua Liu
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Affordable and Clean Energy; Decent Work and Economic Growth
Recommended Citation
"Probability Analysis of the Relationship Between Share Price and ESG Ratings in the Aerospace & Defense Industry" (2022). Stander Symposium Projects. 2527.
https://ecommons.udayton.edu/stander_posters/2527
Comments
Presentation: 3:00 p.m.-3:20 p.m., Kennedy Union 207