Buchumschlag

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

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Karimova, Nigar
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Risk Management Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

The Fairness of Credit Scoring Models
von: Hurlin, Christophe, et al.
Veröffentlicht: (2022)

On-Chain Credit Risk Score in Decentralized Finance
von: Ghosh, Rik, et al.
Veröffentlicht: (2024)

Enhancing ML Models Interpretability for Credit Scoring
von: Schwartz, Sagi, et al.
Veröffentlicht: (2025)

A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
von: Kündig, Pascal, et al.
Veröffentlicht: (2024)

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

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
von: Golec, Muhammed, et al.
Veröffentlicht: (2025)

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

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
von: Zhang, Qingkai, et al.
Veröffentlicht: (2025)

Model Risk Management for Generative AI In Financial Institutions
von: Bhattacharyya, Anwesha, et al.
Veröffentlicht: (2025)

FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
von: Amed, Sultan, et al.
Veröffentlicht: (2026)

Generative AI Enhanced Financial Risk Management Information Retrieval
von: Haeri, Amin, et al.
Veröffentlicht: (2025)

Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending
von: Sanz-Guerrero, Mario, et al.
Veröffentlicht: (2024)

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
von: Geng, Wenxi, et al.
Veröffentlicht: (2026)

Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
von: Li, Xia, et al.
Veröffentlicht: (2025)

SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model
von: Lin, Luyun, et al.
Veröffentlicht: (2025)

Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
von: Li, Xia, et al.
Veröffentlicht: (2025)

Credit Scores: Performance and Equity
von: Albanesi, Stefania, et al.
Veröffentlicht: (2024)

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
von: Tan, Xue Wen, et al.
Veröffentlicht: (2025)

Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces
von: Gerling, Christopher, et al.
Veröffentlicht: (2026)

Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
von: Liu, Bingyao, et al.
Veröffentlicht: (2024)

KACDP: A Highly Interpretable Credit Default Prediction Model
von: Liu, Kun, et al.
Veröffentlicht: (2024)

Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
von: Ying, Cecilia, et al.
Veröffentlicht: (2024)

Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management
von: Bi, Shuochen, et al.
Veröffentlicht: (2024)

Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
von: Mancilla, Javier, et al.
Veröffentlicht: (2024)

Extreme-case Range Value-at-Risk under Increasing Failure Rate
von: Su, Yuting, et al.
Veröffentlicht: (2025)

Assessing Stablecoin Credit Risks
von: Boneh, Yuval, et al.
Veröffentlicht: (2024)

Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
von: Cheng, Yu, et al.
Veröffentlicht: (2024)

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

Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach
von: Saxena, Aditya, et al.
Veröffentlicht: (2024)

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
von: Heranval, Antoine, et al.
Veröffentlicht: (2026)

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
von: Wang, Yuhan, et al.
Veröffentlicht: (2024)

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

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

Value-at-Risk- and Expectile-based Systemic Risk Measures and Second-order Asymptotics: With Applications to Diversification
von: Geng, Bingzhen, et al.
Veröffentlicht: (2024)

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
von: Ng, Chun Chet, et al.
Veröffentlicht: (2025)

Optimal dynamic climate adaptation pathways: a case study of New York City
von: Truong, Chi, et al.
Veröffentlicht: (2024)

Risk exchange under infinite-mean Pareto models
von: Chen, Yuyu, et al.
Veröffentlicht: (2024)

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

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

Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
von: Guo, Jiayi, et al.
Veröffentlicht: (2025)