Classification methods applied to credit scoring: Systematic review and overall comparison
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …
excel in improving techniques designed for this purpose, resulting in the development of …
A review of credit scoring research in the age of Big Data
C Onay, E Öztürk - Journal of Financial Regulation and Compliance, 2018 - emerald.com
Purpose This paper aims to survey the credit scoring literature in the past 41 years (1976-
2017) and presents a research agenda that addresses the challenges and opportunities Big …
2017) and presents a research agenda that addresses the challenges and opportunities Big …
HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture
Credit card transaction fraud costs billions of dollars to card issuers every year. A well-
developed fraud detection system with a state-of-the-art fraud detection model is regarded …
developed fraud detection system with a state-of-the-art fraud detection model is regarded …
[图书][B] Credit scoring and its applications
L Thomas, J Crook, D Edelman - 2017 - SIAM
Credit Scoring and Its Applications, Second Edition : Back Matter Page 1 Bibliography [1]
Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …
Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …
[HTML][HTML] DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
Credit scoring (CS) is an effective and crucial approach used for risk management in banks
and other financial institutions. It provides appropriate guidance on granting loans and …
and other financial institutions. It provides appropriate guidance on granting loans and …
Credit scoring using three-way decisions with probabilistic rough sets
S Maldonado, G Peters, R Weber - Information Sciences, 2020 - Elsevier
Credit scoring is a crucial task within risk management for any company in the financial
sector. On the one hand, it is in the self-interest of banks to avoid approving credits to …
sector. On the one hand, it is in the self-interest of banks to avoid approving credits to …
A new aspect on P2P online lending default prediction using meta-level phone usage data in China
L Ma, X Zhao, Z Zhou, Y Liu - Decision Support Systems, 2018 - Elsevier
P2P online lending platforms provide services where individuals lend money to others
without the involvement of traditional financial institutions. Due to its convenience, the …
without the involvement of traditional financial institutions. Due to its convenience, the …
Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications
L Roa, A Correa-Bahnsen, G Suarez… - Expert Systems with …, 2021 - Elsevier
In this paper we present the impact of alternative data that originates from an app-based
marketplace, in contrast to traditional bureau data, upon credit scoring models. These …
marketplace, in contrast to traditional bureau data, upon credit scoring models. These …
How to identify early defaults in online lending: a cost-sensitive multi-layer learning framework
Credit scoring tools are frequently used by lenders to identify bad borrowers who cannot
fully repay their liabilities. This is a classical problem of classification with imbalanced …
fully repay their liabilities. This is a classical problem of classification with imbalanced …
Contagious chain risk rating for networked-guarantee loans
The small and medium-sized enterprises (SMEs) are allowed to guarantee each other and
form complex loan networks to receive loans from banks during the economic expansion …
form complex loan networks to receive loans from banks during the economic expansion …