Improvement of Traditional Bond Default Identification Model Based on ESG Score

Bai, Zhiyuan and Huang, Nanyang (2023) Improvement of Traditional Bond Default Identification Model Based on ESG Score. In: Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China.

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Abstract

The most important problem in the bond default field is whether the traditional model meets theoretical expectations well. To accurately identify bond default risk, this paper establishes a theory which introduces ESG scores into the traditional model of bond default identification based on some eco

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:17
Last Modified: 17 Apr 2026 03:11
URI: http://eprints.eai.eu/id/eprint/43093

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