Work

Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm

Year: 2019

Type: article

Source: Accounting and Finance

DOI: 10.1111/acfi.12453

Authors: Lu Wei, Guowen Li, Xiaoqian Zhu, Jianping Li

Institutions: Chinese Academy of Sciences, Institutes of Science and Development, University of Chinese Academy of Sciences

Language: English

Topic: Banking stability, regulation, efficiency

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences

Awards: G200727021, G2827692842, 考虑多种复杂特性的银行风险相关性建模研究, G4419532464

OpenAlex ID: W2918148355

FWCI: 13.63

Cites: 40

Cited by: 85

Related to: 10