The decision mechanism of banks' credit risk based on information asymmetry

2000 ◽  
Author(s):  
Sulin Pang ◽  
Yongqing Liu ◽  
Rongzhou Li
Keyword(s):  
Credit Risk ◽  
Information Asymmetry ◽  
Decision Mechanism

Bank credit risk and structural credit models: Agency and information asymmetry perspectives

2009 ◽  
Vol 33 (8) ◽  
pp. 1520-1530 ◽  
Author(s):  
Hsien-Hsing Liao ◽  
Tsung-Kang Chen ◽  
Chia-Wu Lu
Keyword(s):  
Credit Risk ◽  
Information Asymmetry ◽  
Bank Credit

Debt Maturity, Credit Risk, and Information Asymmetry: The Case of Municipal Bonds

2010 ◽  
Vol 45 (3) ◽  
pp. 603-626 ◽  
Author(s):  
Kenneth Daniels ◽  
Demissew Diro Ejara ◽  
Jayaraman Vijayakumar
Keyword(s):  
Credit Risk ◽  
Information Asymmetry ◽  
Debt Maturity ◽  
Municipal Bonds

The Impact of Fair Value Measurement for Bank Assets on Information Asymmetry and the Moderating Effect of Own Credit Risk Gains and Losses

2018 ◽  
Vol 93 (6) ◽  
pp. 127-147 ◽  
Author(s):  
Joana C. Fontes ◽  
Argyro Panaretou ◽  
Kenneth V. Peasnell
Keyword(s):  
Credit Risk ◽  
Information Asymmetry ◽  
Fair Value ◽  
Data Availability ◽  
Bid Ask Spread ◽  
Fair Value Measurement ◽  
Gains And Losses ◽  
Value Measurement ◽  
The Impact

ABSTRACT We examine whether the use of fair value measurement (FVM) for bank assets reduces information asymmetry among equity investors (bid-ask spread) and how this is affected by the recognition of own credit risk gains and losses (OCR). Our findings show that FVM of assets is associated with noticeably lower information asymmetry, and that this reduction is more than twice as large when banks also recognize OCR. In addition, we find that the bid-ask spread is incrementally lower for banks that provide more detailed narrative disclosures on OCR. The findings also indicate that the effects of asset FVM and OCR recognition on the bid-ask spread do not simply capture the differences in the characteristics of the banks and the quality of their information environments. Data Availability: All data are available from public sources.

Internet Financial Credit Evaluation for the Small and Medium Enterprises

2014 ◽  
Vol 989-994 ◽  
pp. 5075-5077
Author(s):  
Yi Qing Lu
Keyword(s):  
Big Data ◽  
Credit Risk ◽  
Information Asymmetry ◽  
Financial Institutions ◽  
Evaluation System ◽  
Small And Medium Enterprises ◽  
Credit Evaluation ◽  
Financial Credit ◽  
Medium Enterprises ◽  
Credit Evaluation System

In this paper, a credit evaluation system based big-data is designed to change the information asymmetry between the finance institutions and enterprises, reduce the credit risk of internet financial institutions and investors, by utilizing the information and technology advantages. The research objective of this project have important theoretical and application value to the development of small and medium-sized enterprises (SME) credit evaluation system.

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