Image de couverture de livre

Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Karimova, Nigar
Format:	Preprint
Publié:	2024
Sujets:	Risk Management Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Fairness of Credit Scoring Models
par: Hurlin, Christophe, et autres
Publié: (2022)

On-Chain Credit Risk Score in Decentralized Finance
par: Ghosh, Rik, et autres
Publié: (2024)

Enhancing ML Models Interpretability for Credit Scoring
par: Schwartz, Sagi, et autres
Publié: (2025)

A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
par: Kündig, Pascal, et autres
Publié: (2024)

Machine and Deep Learning for Credit Scoring: A compliant approach
par: Rida, Abdollah
Publié: (2024)

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
par: Golec, Muhammed, et autres
Publié: (2025)

Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
par: Nayak, Srikumar
Publié: (2026)

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
par: Zhang, Qingkai, et autres
Publié: (2025)

Model Risk Management for Generative AI In Financial Institutions
par: Bhattacharyya, Anwesha, et autres
Publié: (2025)

FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
par: Amed, Sultan, et autres
Publié: (2026)

Generative AI Enhanced Financial Risk Management Information Retrieval
par: Haeri, Amin, et autres
Publié: (2025)

Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending
par: Sanz-Guerrero, Mario, et autres
Publié: (2024)

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
par: Geng, Wenxi, et autres
Publié: (2026)

Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
par: Li, Xia, et autres
Publié: (2025)

SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model
par: Lin, Luyun, et autres
Publié: (2025)

Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
par: Li, Xia, et autres
Publié: (2025)

Credit Scores: Performance and Equity
par: Albanesi, Stefania, et autres
Publié: (2024)

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
par: Tan, Xue Wen, et autres
Publié: (2025)

Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces
par: Gerling, Christopher, et autres
Publié: (2026)

Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
par: Liu, Bingyao, et autres
Publié: (2024)

KACDP: A Highly Interpretable Credit Default Prediction Model
par: Liu, Kun, et autres
Publié: (2024)

Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
par: Ying, Cecilia, et autres
Publié: (2024)

Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management
par: Bi, Shuochen, et autres
Publié: (2024)

Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
par: Mancilla, Javier, et autres
Publié: (2024)

Extreme-case Range Value-at-Risk under Increasing Failure Rate
par: Su, Yuting, et autres
Publié: (2025)

Assessing Stablecoin Credit Risks
par: Boneh, Yuval, et autres
Publié: (2024)

Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
par: Cheng, Yu, et autres
Publié: (2024)

A Counterfactual Diagnostic Framework for Explaining KS Deterioration in Credit Risk Model Validation
par: Wang, Yiqing
Publié: (2026)

Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach
par: Saxena, Aditya, et autres
Publié: (2024)

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
par: Heranval, Antoine, et autres
Publié: (2026)

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
par: Wang, Yuhan, et autres
Publié: (2024)

On the modeling assumptions of Historical Simulation for Value-at-Risk
par: Grelsson, Björn Löfdahl
Publié: (2026)

Spurious Default Probability Projections in Credit Risk Stress Testing Models
par: Engelmann, Bernd
Publié: (2024)

Value-at-Risk- and Expectile-based Systemic Risk Measures and Second-order Asymptotics: With Applications to Diversification
par: Geng, Bingzhen, et autres
Publié: (2024)

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
par: Ng, Chun Chet, et autres
Publié: (2025)

Optimal dynamic climate adaptation pathways: a case study of New York City
par: Truong, Chi, et autres
Publié: (2024)

Risk exchange under infinite-mean Pareto models
par: Chen, Yuyu, et autres
Publié: (2024)

Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
par: Chagahi, Mehdi Hosseini, et autres
Publié: (2024)

Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
par: Peiris, Rangika, et autres
Publié: (2024)

Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
par: Guo, Jiayi, et autres
Publié: (2025)