Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk
Credit risk is a critical issue that affects banks and companies on a global scale. Possessing the ability to accurately predict the level of credit risk has the potential to help the lender and borrower. This is achieved by alleviating the number of loans provided to borrowers with poor financial h...
Main Authors: | Khaled Halteh, Kuldeep Kumar, Adrian Gepp |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Risks |
Subjects: | |
Online Access: | http://www.mdpi.com/2227-9091/6/2/55 |
Similar Items
-
Empirical evolution of credit risk over a decade in IBEX. 35 companies and its relationship with the qualification of its ratings
by: Josep Patau
Published: (2020-11-01) -
Financial Distress and Information Sharing: Evidences from the Italian Credit Register
by: Lucia Gibilaro, et al.
Published: (2021-05-01) -
Financial distress in Brazilian banks: an early warning model,
by: Paulo Sérgio Rosa, et al.
Published: (2017-12-01) -
CREDIT POLICY OF BANKS IN THE FUNCTION OF DEVELOPING THE ECONOMY OF REPUBLIC OF SRPSKA
by: Dragana Bašić, et al.
Published: (2021-07-01) -
AN EXAMINATION OF THE POTENTIAL IMPACT OF RISK ON VIABILITY ASSESSMENTS FOR FINANCIALLY DISTRESSED FIRMS: THE CASE OF PROFESSIONAL USER GROUPS OF COMPANY ACCOUNTS
by: Sylvia Constantinides
Published: (2007-01-01)