Machine learning in corporate credit rating assessment using the expanded audit report
From MaRDI portal
Publication:6097105
DOI10.1007/S10994-022-06226-4MaRDI QIDQ6097105
Yolanda Pérez-Pérez, María Jesús Segovia-Vargas, Nora Muñoz-Izquierdo, María-del-Mar Camacho-Miñano
Publication date: 12 June 2023
Published in: Machine Learning (Search for Journal in Brave)
machine learning techniquesaccounting ratioscorporate credit ratingexpanded audit reportkey audit matters
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach
- Rudiments of rough sets
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
- Rough sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem)
- Neural network credit scoring models
- A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach
- Recent developments in consumer credit risk assessment
- On multiple-class prediction of issuer credit ratings
- Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning
- Forecasting credit ratings with the varying-coefficient model
- Rough sets theory for multicriteria decision analysis
This page was built for publication: Machine learning in corporate credit rating assessment using the expanded audit report