Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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The Correlation Between Environmental, Social and Governance Disclosure Scores and Company’s Financial Performance: A Case Study Based on Regression Model

Authors
Yizhe Jing1, *
1School of Management, The University of Bristol, Bristol, BS8 1QU, UK
*Corresponding author. Email: yizhe_jing@163.com
Corresponding Author
Yizhe Jing
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_10How to use a DOI?
Keywords
EGS Disclosure Score; Regression Model; Financial Performance; Business Analysis; Investment Bank
Abstract

With the rapid development of machine learning and big data techniques, modelling and predictive analysis have been applied broadly in the financial area. From stock market prediction [11] to decision making support for financial institutions [9], researchers have shown that machine learning and big data techniques can be used in practical applications and make invaluable contributions. As sustainable development has become a worldwide consensus, the author is trying to justify whether the ESG disclosure score will affect a investment banking company’s financial performance. The author used the data from S&P 1500, and selected the company’s total assets, the Tobin’s Q ratio and the return on common equity as the indicators of a company’s financial performance. The author starts by building full regression models and using backward elimination to improve the model performance. The threshold of the F-test was set to be 0.05, and the results suggested that the ESG disclosure score has a significant non-linear correlation with the company's financial performance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_10How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yizhe Jing
PY  - 2022
DA  - 2022/12/20
TI  - The Correlation Between Environmental, Social and Governance Disclosure Scores and Company’s Financial Performance: A Case Study Based on Regression Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 80
EP  - 88
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_10
DO  - 10.2991/978-94-6463-030-5_10
ID  - Jing2022
ER  -