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SME default prediction: A systematic methodology-focused review
This study reviews the methodologies used in the literature to predict failure in small and
medium-sized enterprises (SMEs). We identified 145 SMEs' default prediction studies from …
medium-sized enterprises (SMEs). We identified 145 SMEs' default prediction studies from …
A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy
N Gordini - Expert systems with applications, 2014 - Elsevier
Bankruptcy prediction is a topic, which affect the economic well being of all countries.
Having an accurate company default prediction model, which can pick up on time the signs …
Having an accurate company default prediction model, which can pick up on time the signs …
CatBoost model and artificial intelligence techniques for corporate failure prediction
Financial distress prediction provides an effective warning system for banks and investors to
correctly guide decisions on granting credit. Ensemble methods have demonstrated their …
correctly guide decisions on granting credit. Ensemble methods have demonstrated their …
B2C E-commerce customer churn prediction based on K-means and SVM
X **ahou, Y Harada - Journal of Theoretical and Applied Electronic …, 2022 - mdpi.com
Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …
effective customer retention measures and implement successful marketing strategies …
Machine learning for financial risk management: a survey
Financial risk management avoids losses and maximizes profits, and hence is vital to most
businesses. As the task relies heavily on information-driven decision making, machine …
businesses. As the task relies heavily on information-driven decision making, machine …
Instance-based credit risk assessment for investment decisions in P2P lending
Recent years have witnessed increased attention on peer-to-peer (P2P) lending, which
provides an alternative way of financing without the involvement of traditional financial …
provides an alternative way of financing without the involvement of traditional financial …
Global stock market investment strategies based on financial network indicators using machine learning techniques
This study presents financial network indicators that can be applied to global stock market
investment strategies. We propose to design both undirected and directed volatility networks …
investment strategies. We propose to design both undirected and directed volatility networks …
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e …
E-commerce has provided new opportunities for both businesses and consumers to easily
share information, find and buy a product, increasing the ease of movement from one …
share information, find and buy a product, increasing the ease of movement from one …
A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
Credit ratings are one of the primary keys that reflect the level of riskiness and reliability of
corporations to meet their financial obligations. Rating agencies tend to take extended …
corporations to meet their financial obligations. Rating agencies tend to take extended …
Investment estimation of prefabricated concrete buildings based on XGBoost machine learning algorithm
The prefabricated concrete buildings (PCBs) are the booster in the process of construction
industrialization and intelligent upgrading. However, its high cost has become one of the …
industrialization and intelligent upgrading. However, its high cost has become one of the …