Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management
This research presents a systematic review of a substantial body of high-quality research
articles on Default Prediction Models published from 2015 to 2024. It is a comprehensive …
articles on Default Prediction Models published from 2015 to 2024. It is a comprehensive …
What should lenders be more concerned about? Develo** a profit-driven loan default prediction model
L Zhang, J Wang, Z Liu - Expert Systems with Applications, 2023 - Elsevier
Reliable and effective loan default risk prediction can help regulators and lenders effectively
identify risky loan applicants and develop proactive and timely response measures to …
identify risky loan applicants and develop proactive and timely response measures to …
[HTML][HTML] Leveraging asynchronous federated learning to predict customers financial distress
In recent years, as economic stability is shaking, and the unemployment rate is growing high
due to the COVID-19 effect, assigning credit scoring by predicting consumers' financial …
due to the COVID-19 effect, assigning credit scoring by predicting consumers' financial …
The neuromarketing concept in artificial neural networks: A case of forecasting and simulation from the advertising industry
RR Ahmed, D Streimikiene, ZA Channar, HA Soomro… - Sustainability, 2022 - mdpi.com
This research aims to examine a neural network (artificial intelligence) as an alternative
model to examine the neuromarketing phenomenon. Neuromarketing is comparatively new …
model to examine the neuromarketing phenomenon. Neuromarketing is comparatively new …
Credit risk prediction model for listed companies based on CNN-LSTM and Attention mechanism
J Li, C Xu, B Feng, H Zhao - Electronics, 2023 - mdpi.com
The financial market has been develo** rapidly in recent years, and the issue of credit risk
concerning listed companies has become increasingly prominent. Therefore, predicting the …
concerning listed companies has become increasingly prominent. Therefore, predicting the …
Credit risk management of property investments through multi-criteria indicators
The economic crisis of 2008 has highlighted the ineffectiveness of the banks in their
disbursement of mortgages which caused the spread of Non-Performing Loans (NPLs) with …
disbursement of mortgages which caused the spread of Non-Performing Loans (NPLs) with …
Optimizing credit limit adjustments under adversarial goals using reinforcement learning
S Alfonso-Sánchez, J Solano… - European Journal of …, 2024 - Elsevier
Reinforcement learning has been explored for many problems, from video games with
deterministic environments to portfolio and operations management in which scenarios are …
deterministic environments to portfolio and operations management in which scenarios are …
Using deep learning to interpolate the missing data in time-series for credit risks along supply chain
Purpose As the supply chain is a highly integrated infrastructure in modern business, the
risks in supply chain are also becoming highly contagious among the target company. This …
risks in supply chain are also becoming highly contagious among the target company. This …
Monitoring corporate credit risk with multiple data sources
Purpose Monitoring corporate credit risk (CCR) has traditionally relied on such indicators as
income, debt and inventory at a company level. These data are usually released on a …
income, debt and inventory at a company level. These data are usually released on a …
Forecasting Credit Risk of SMEs in Supply Chain Finance Using Bayesian Optimization and XGBoost
C Zhang, X Zhou - Mathematical Problems in Engineering, 2023 - Wiley Online Library
Supply chain finance plays a crucial role as a financing channel for small‐and medium‐
sized enterprises (SMEs). However, issues such as financial problems and credit defaults …
sized enterprises (SMEs). However, issues such as financial problems and credit defaults …