Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

July 9, 2024


Pages


DOI

Article

Analysis of the Impact of ESG Performance on Financial Market Stability Based on Multivariate Statistical Modeling Perspective

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Authors

Qian Wen Affiliation:
Yantai Nanshan University, Longkou, Shandong, 265713, China.
, Rui Shan Affiliation:
Yantai Nanshan University, Longkou, Shandong, 265713, China.
, Minrui Guo Affiliation:
Yantai Nanshan University, Longkou, Shandong, 265713, China.
, Yuwu Li Affiliation:
Shandong Nanshan Zhishang Technology Co., Ltd., Longkou, Shandong, 265706, China.
and Jinmiao Liu Affiliation:
Yantai Nanshan University School of Economics and Management, Longkou, Shandong, 265713, China.


Abstract

ESG performance reflects corporate social responsibility, while financial market stability shows the dynamic changes of enterprises, and exploring the relationship between the two is of great significance to optimize the structure of financial market stability. In this paper, on the basis of combining the mechanisms of ESG performance and financial market stability, brand value is introduced as a mediating effect to analyze the mechanism of ESG performance on financial market stability and relevant research hypotheses are designed. The appropriate research model is established with 30 commercial banks in China as the research object through the use of a multiple linear regression model with weighted least squares estimation for parameter estimation. For the impact of ESG performance on financial market stability, empirical analysis is carried out using benchmark regression, mediation effect test, heterogeneity test, and robustness test. Every 1% increase in the ESG composite score of financial institutions increases financial market stability by 0.179%, and only the social dimension of ESG performance is significant for financial market stability. High-cost and small-sized financial institutions are more capable of lowering financial market risk, and the difference in the Beta value of ESG performance of financial institutions between the highest and lowest groups is 1.067, which is significant at the 1% level. Financial enterprises need to pay full attention to the contribution of ESG performance to the stability of the financial market in order to support the enhancement of their economic efficiency and the maintenance of stable and healthy development of the market.


Keywords

Weighted least squares, Multiple linear regression, ESG performance, Heterogeneity test, Financial market, 68-02


Citation

Wen, Q., Shan, R., Guo, M., Li, Y., & Liu, J. (2024). Analysis of the impact of ESG performance on financial market stability based on multivariate statistical modeling perspective. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1740

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