Controlling Shareholder Characteristics and Corporate Debt Default Risk: Evidence Based on Machine Learning

Author:

Wang Di1ORCID,Wu Zhanchi1,Zhu Bangzhu2

Affiliation:

1. Department of Accounting, Management School, Jinan University, Guangzhou, China

2. School of Business, Guangxi University, Nanning, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province, China

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Corporate mergers and acquisitions: A strategic approach to mitigate expected default frequency;Finance Research Letters;2024-06

2. Applications of Machine Learning Techniques for Achieving Financial Sustainability;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-05-15

3. Predicting Credit Bond Default with Deep Learning: Evidence from China;Journal of Social Computing;2024-03

4. Improved Grey Wolf Optimization Algorithm Based on Local Derivative Inertia Weights;Proceedings of the 7th International Conference on Algorithms, Computing and Systems;2023-10-19

5. Proposing a Novel Data-Driven Optimization Methodology to Calculate the Insurance Premium in the Iranian Health Insurance Industry;Emerging Markets Finance and Trade;2023-07-04

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