Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm-Reference-Cited by-同舟云学术

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

Published:2019-02-19 Issue:3 Volume:59 Page:1519-1552
ISSN:0810-5391
Container-title:Accounting & Finance
language:en
Short-container-title:Account Finance

Author:

Wei Lu¹²,Li Guowen¹²,Zhu Xiaoqian¹,Li Jianping¹²

Affiliation:

1. Institutes of Science and Development Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Wiley

Subject

Economics, Econometrics and Finance (miscellaneous),Finance,Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/acfi.12453

Reference44 articles.

1. Risk Capital Aggregation

2. Alexander C. andJ.Pezier 2003 On the aggregation of market and credit risks ISMA Centre Discussion Papers in Finance No. 2003‐13 (University of Reading).

3. Alibux A. 2007 Cross‐border mergers and acquisitions in the European banking sector Dissertation (Erasmus University of Rotterdam).

4. The Global Financial Crisis: some attributes and responses

5. Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures

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