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...

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Principais autores:	Khaled Halteh, Kuldeep Kumar, Adrian Gepp
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-05-01
coleção:	Risks
Assuntos:	credit risk prediction financial distress insolvency risk tree-based stochastic models mining sector
Acesso em linha:	http://www.mdpi.com/2227-9091/6/2/55
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