Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods

X Zhang, L Yu - Expert Systems with Applications, 2024 - Elsevier
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …

An investigation of credit card default prediction in the imbalanced datasets

TM Alam, K Shaukat, IA Hameed, S Luo… - Ieee …, 2020 - ieeexplore.ieee.org
Financial threats are displaying a trend about the credit risk of commercial banks as the
incredible improvement in the financial industry has arisen. In this way, one of the biggest …

Credit scoring based on tree-enhanced gradient boosting decision trees

W Liu, H Fan, M Xia - Expert Systems with Applications, 2022 - Elsevier
Credit scoring is an important tool for banks and lending companies to realize credit risk
exposure management and gain profits. GBDTs, a group of boosting-type ensemble …

Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions

MJ Ariza-Garzón, MJ Segovia-Vargas… - … Commerce Research and …, 2021 - Elsevier
Abstract Peer-to-peer (P2P) lending is a market with significant growth in recent years. We
review the academic literature published during the last decade on P2P lending to identify …

Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China

Y Liu, M Yang, Y Wang, Y Li, T Xiong, A Li - International Review of …, 2022 - Elsevier
Using data from Renrendai and three machine learning algorithms, namely, k-nearest
neighbor, support vector machine, and random forest, we predicted the default probability of …

[HTML][HTML] New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning

MA Muslim, TL Nikmah, DAA Pertiwi, Y Dasril - Intelligent Systems with …, 2023 - Elsevier
Abstract Peer-to-peer (P2P) Lending is a type of financial innovation that offers loans without
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …

Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology

DK Nguyen, G Sermpinis… - European Financial …, 2023 - Wiley Online Library
This paper uses a multidimensional descriptive analysis to familiarize the reader with the
extent of penetration of big data, artificial intelligence (AI) and machine learning (ML) …

Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets

Š Lyócsa, P Vašaničová, B Hadji Misheva… - Financial Innovation, 2022 - Springer
For the emerging peer-to-peer (P2P) lending markets to survive, they need to employ credit-
risk management practices such that an investor base is profitable in the long run …

[HTML][HTML] Explainable prediction of loan default based on machine learning models

X Zhu, Q Chu, X Song, P Hu, L Peng - Data Science and Management, 2023 - Elsevier
Owing to the convenience of online loans, an increasing number of people are borrowing
money on online platforms. With the emergence of machine learning technology, predicting …

Forecasting of carbon emission in China based on gradient boosting decision tree optimized by modified whale optimization algorithm

X Cui, SE, D Niu, B Chen, J Feng - Sustainability, 2021 - mdpi.com
As the global temperature continues to rise, people have become increasingly concerned
about global climate change. In order to help China to effectively develop a carbon peak …