Empirical Investigation of ESG Performance and Shareholder Value

Faculty Mentor

Dr. L Dwight Sneathen

Location

Russell Union Ballroom

Type of Research

On-going

Session Format

Poster Presentation

College

Parker College of Business

Department

School of Accountancy

Abstract

In recent years, Environmental, Social, and Governance (ESG) metrics have become increasingly interconnected to corporate reporting and investment decision-making. Investors, regulators, and rating agencies currently rely on standardized ESG indicators like carbon emission intensity, board independence, diversity ratios, and community engagement to evaluate a company’s long-term sustainability and risk exposure. Despite their growing prominence, however, there is debate over whether these ESG metrics generate measurable financial value for shareholders.

To examine this relationship, this study will collect firms’ ESG data alongside stock performance indicators, including annual returns and market-based valuation measures. The analysis of this data will construct a correlation matrix, which can help identify the strength and direction of relationships between ESG metrics and stock performance. After running the correlation matrix, scatterplots will be developed to visually assess patterns in the data, and a regression analysis will be performed to determine whether ESG performance can help predict shareholder returns.

In light of the Shareholder Value Theory, this research seeks to determine whether ESG metrics serve as drivers of long-term financial value or if their impact on stock performance is statistically insignificant. The findings will contribute to broader accounting and finance debates on the economic impact and relevance of ESG reporting for investors.

Program Description

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Start Date

4-23-2026 10:00 AM

End Date

4-23-2026 12:00 PM

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Apr 23rd, 10:00 AM Apr 23rd, 12:00 PM

Empirical Investigation of ESG Performance and Shareholder Value

Russell Union Ballroom

In recent years, Environmental, Social, and Governance (ESG) metrics have become increasingly interconnected to corporate reporting and investment decision-making. Investors, regulators, and rating agencies currently rely on standardized ESG indicators like carbon emission intensity, board independence, diversity ratios, and community engagement to evaluate a company’s long-term sustainability and risk exposure. Despite their growing prominence, however, there is debate over whether these ESG metrics generate measurable financial value for shareholders.

To examine this relationship, this study will collect firms’ ESG data alongside stock performance indicators, including annual returns and market-based valuation measures. The analysis of this data will construct a correlation matrix, which can help identify the strength and direction of relationships between ESG metrics and stock performance. After running the correlation matrix, scatterplots will be developed to visually assess patterns in the data, and a regression analysis will be performed to determine whether ESG performance can help predict shareholder returns.

In light of the Shareholder Value Theory, this research seeks to determine whether ESG metrics serve as drivers of long-term financial value or if their impact on stock performance is statistically insignificant. The findings will contribute to broader accounting and finance debates on the economic impact and relevance of ESG reporting for investors.