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Published in: Soft Computing 16/2018

01-02-2018 | Focus

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

Authors: Qian Liu, Chong Wu, Lingyan Lou

Published in: Soft Computing | Issue 16/2018

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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.

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Metadata
Title
Evaluation research on commercial bank counterparty credit risk management based on new intuitionistic fuzzy method
Authors
Qian Liu
Chong Wu
Lingyan Lou
Publication date
01-02-2018
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 16/2018
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3042-z

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