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Two-stage consumer credit risk modelling using heterogeneous ensemble learning

Decision Support Systems, 2019
Modelling consumer credit risk is a crucial task for banks and non-bank financial institutions to support decision-making on granting loans. To model the overall credit risk of a consumer loan in terms of expected loss (EL), three key credit risk ...
M. Papouskova, P. Hájek
semanticscholar   +1 more source

Credit risk

1999
Διπλωματική εργασία - Οικονομικό Πανεπιστήμιο Αθηνών.
openaire   +2 more sources

A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation

Physica A: Statistical Mechanics and its Applications, 2019
Significant research has been performed on credit risk evaluation, with many machine learning and data mining techniques being employed for financial decision-making.
Feng Shen   +4 more
semanticscholar   +1 more source

ESG, Material Credit Events, and Credit Risk

Journal of Applied Corporate Finance, 2019
A growing body of research has extended the analysis of the materiality of ESG criteria from the perspective of equity investors to creditors. Past research and analysis have demonstrated the link between better management of ESG criteria and better ...
Witold J. Henisz, J. McGlinch
semanticscholar   +1 more source

What drives credit risk in the Indian banking industry? An empirical investigation

Economic Systems, 2019
Using a two-step system GMM approach on a unique bank-level dataset for the period 1998/99–2013/14, this paper tries to explore the key determinants of credit risk in the Indian banking industry.
Rachita Gulati   +2 more
semanticscholar   +1 more source

Measuring credit risk using qualitative disclosure

Review of accounting studies, 2021
J. Donovan   +3 more
semanticscholar   +1 more source

Credit Risk

2012
Abstract This chapter discusses the concept of credit risk. Of all the risks that banks are exposed to, credit risk is the most important and the most intuitively obvious. It is important to remember that credit means more than simply loans. At the heart of financial transactions are credit exposures.
openaire   +1 more source

Machine learning techniques for credit risk evaluation: a systematic literature review

Journal of Banking and Financial Technology, 2020
Siddharth Bhatore   +2 more
semanticscholar   +1 more source

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