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Evaluation research on commercial bank counterparty credit risk management based on new intuitionistic fuzzy method.

Authors :
Liu, Qian
Wu, Chong
Lou, Lingyan
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Aug2018, Vol. 22 Issue 16, p5363-5375. 13p.
Publication Year :
2018

Abstract

Over the past few years, the world economy is still in a profound adjustment stage after financial crisis, and it will continue to maintain a “New Mediocre” situation. It is clear that multiple risk factors, such as the issue of Brexit and European refugees, will increase the uncertainty of world economy growth. Under such economic development condition, it is obvious that the development of commercial bank will face a challenge; especially, the development of off-balance sheet business has received more attention from the commercial bank. Therefore, the counterparty credit risk has been brought into focus by the government and regulatory authority. This paper employs the new intuitionistic fuzzy method to improve the score function, and it aims to establish an evaluation mechanism of commercial bank counterparty credit risk management. By selecting the representative Chinese commercial banks, this paper conducts an empirical analysis to verify the validity of the evaluation system and make certain effectiveness evaluation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
22
Issue :
16
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
130553283
Full Text :
https://doi.org/10.1007/s00500-018-3042-z