Saved in:
| Main Author: | Enriquez, Luis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.03217 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Artificial Intelligence Value at Risk Approach: Metrics and Models
by: Alvarez, Luis Enriquez
Published: (2025)
by: Alvarez, Luis Enriquez
Published: (2025)
Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
by: Peiris, Rangika, et al.
Published: (2024)
by: Peiris, Rangika, et al.
Published: (2024)
Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
by: Tan, Xue Wen, et al.
Published: (2025)
by: Tan, Xue Wen, et al.
Published: (2025)
Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
by: Guo, Jiayi, et al.
Published: (2025)
by: Guo, Jiayi, et al.
Published: (2025)
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
by: Golec, Muhammed, et al.
Published: (2025)
by: Golec, Muhammed, et al.
Published: (2025)
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
by: Zhao, Yu, et al.
Published: (2022)
by: Zhao, Yu, et al.
Published: (2022)
Explainable Risk Classification in Financial Reports
by: Tan, Xue Wen, et al.
Published: (2024)
by: Tan, Xue Wen, et al.
Published: (2024)
Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration
by: Wang, Du-Yi, et al.
Published: (2026)
by: Wang, Du-Yi, et al.
Published: (2026)
Adaptive Window Selection for Financial Risk Forecasting
by: Li, Yinhuan, et al.
Published: (2026)
by: Li, Yinhuan, et al.
Published: (2026)
Model Risk Management for Generative AI In Financial Institutions
by: Bhattacharyya, Anwesha, et al.
Published: (2025)
by: Bhattacharyya, Anwesha, et al.
Published: (2025)
Generative AI Enhanced Financial Risk Management Information Retrieval
by: Haeri, Amin, et al.
Published: (2025)
by: Haeri, Amin, et al.
Published: (2025)
Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)
by: Boonen, Tim J., et al.
Published: (2025)
Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
by: Chen, Ling
Published: (2024)
by: Chen, Ling
Published: (2024)
Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning
by: Han, Shanyu, et al.
Published: (2025)
by: Han, Shanyu, et al.
Published: (2025)
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
by: Zhang, Qingkai, et al.
Published: (2025)
by: Zhang, Qingkai, et al.
Published: (2025)
Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
by: Wang, Yuhan, et al.
Published: (2024)
by: Wang, Yuhan, et al.
Published: (2024)
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models
by: Sun, Wenying, et al.
Published: (2024)
by: Sun, Wenying, et al.
Published: (2024)
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
by: Amed, Sultan, et al.
Published: (2026)
by: Amed, Sultan, et al.
Published: (2026)
Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets
by: Wang, Liyang, et al.
Published: (2024)
by: Wang, Liyang, et al.
Published: (2024)
Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
by: Geng, Wenxi, et al.
Published: (2026)
by: Geng, Wenxi, et al.
Published: (2026)
Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
by: Bi, Shuochen, et al.
Published: (2024)
by: Bi, Shuochen, et al.
Published: (2024)
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
by: Karimova, Nigar
Published: (2024)
by: Karimova, Nigar
Published: (2024)
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
by: Holvoet, Freek, et al.
Published: (2023)
by: Holvoet, Freek, et al.
Published: (2023)
Incorporating data drift to perform survival analysis on credit risk
by: Peng, Jianwei, et al.
Published: (2026)
by: Peng, Jianwei, et al.
Published: (2026)
Transformer-based CoVaR: Systemic Risk in Textual Information
by: Chen, Junyu, et al.
Published: (2026)
by: Chen, Junyu, et al.
Published: (2026)
Conditional Risk Minimization with Side Information: A Tractable, Universal Optimal Transport Framework
by: Xie, Xinqiao, et al.
Published: (2025)
by: Xie, Xinqiao, et al.
Published: (2025)
Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
by: Asadi, Saeed, et al.
Published: (2026)
by: Asadi, Saeed, et al.
Published: (2026)
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
by: Kuiper, Patrick, et al.
Published: (2024)
by: Kuiper, Patrick, et al.
Published: (2024)
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training
by: Cheng, Jiezhu, et al.
Published: (2023)
by: Cheng, Jiezhu, et al.
Published: (2023)
Risk Aware Benchmarking of Large Language Models
by: Nitsure, Apoorva, et al.
Published: (2023)
by: Nitsure, Apoorva, et al.
Published: (2023)
Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance
by: Cetingoz, Adil Rengim, et al.
Published: (2025)
by: Cetingoz, Adil Rengim, et al.
Published: (2025)
Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning
by: Neela, Sandeep
Published: (2025)
by: Neela, Sandeep
Published: (2025)
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
by: Du, Huaming, et al.
Published: (2022)
by: Du, Huaming, et al.
Published: (2022)
Machine and Deep Learning for Credit Scoring: A compliant approach
by: Rida, Abdollah
Published: (2024)
by: Rida, Abdollah
Published: (2024)
KACDP: A Highly Interpretable Credit Default Prediction Model
by: Liu, Kun, et al.
Published: (2024)
by: Liu, Kun, et al.
Published: (2024)
Assessing Uncertainty in Stock Returns: A Gaussian Mixture Distribution-Based Method
by: Wang, Yanlong, et al.
Published: (2025)
by: Wang, Yanlong, et al.
Published: (2025)
A multi-view contrastive learning framework for spatial embeddings in risk modelling
by: Holvoet, Freek, et al.
Published: (2025)
by: Holvoet, Freek, et al.
Published: (2025)
Periodic evaluation of defined-contribution pension fund: A dynamic risk measure approach
by: He, Wanting, et al.
Published: (2025)
by: He, Wanting, et al.
Published: (2025)
Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance
by: Mamun, Sharif Al, et al.
Published: (2025)
by: Mamun, Sharif Al, et al.
Published: (2025)
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
by: Kündig, Pascal, et al.
Published: (2024)
by: Kündig, Pascal, et al.
Published: (2024)
Similar Items
-
An Artificial Intelligence Value at Risk Approach: Metrics and Models
by: Alvarez, Luis Enriquez
Published: (2025) -
Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
by: Peiris, Rangika, et al.
Published: (2024) -
Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
by: Tan, Xue Wen, et al.
Published: (2025) -
Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
by: Guo, Jiayi, et al.
Published: (2025) -
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
by: Golec, Muhammed, et al.
Published: (2025)