SME default prediction: A systematic methodology-focused review

H Cheraghali, P Molnár - Journal of Small Business Management, 2024 - Taylor & Francis
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 …

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 …

CatBoost model and artificial intelligence techniques for corporate failure prediction

SB Jabeur, C Gharib, S Mefteh-Wali, WB Arfi - … Forecasting and Social …, 2021 - Elsevier
Financial distress prediction provides an effective warning system for banks and investors to
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 …

Machine learning for financial risk management: a survey

A Mashrur, W Luo, NA Zaidi, A Robles-Kelly - Ieee Access, 2020 - ieeexplore.ieee.org
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 …

Instance-based credit risk assessment for investment decisions in P2P lending

Y Guo, W Zhou, C Luo, C Liu, H **ong - European Journal of Operational …, 2016 - Elsevier
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 …

Global stock market investment strategies based on financial network indicators using machine learning techniques

TK Lee, JH Cho, DS Kwon, SY Sohn - Expert Systems with Applications, 2019 - Elsevier
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 …

Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e …

N Gordini, V Veglio - Industrial Marketing Management, 2017 - Elsevier
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 …

A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees

P Golbayani, I Florescu, R Chatterjee - The North American Journal of …, 2020 - Elsevier
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 …

Investment estimation of prefabricated concrete buildings based on XGBoost machine learning algorithm

H Yan, Z He, C Gao, M **e, H Sheng, H Chen - Advanced Engineering …, 2022 - Elsevier
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 …