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 …

Financial inclusion in emerging economies: The application of machine learning and artificial intelligence in credit risk assessment

D Mhlanga - International journal of financial studies, 2021 - mdpi.com
In banking and finance, credit risk is among the important topics because the process of
issuing a loan requires a lot of attention to assessing the possibilities of getting the loaned …

Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data

W Zhang, S Yan, J Li, X Tian, T Yoshida - Transportation Research Part E …, 2022 - Elsevier
The credit risk of small and medium-sized enterprises (SMEs) in supply chain finance (SCF)
is defined as the probability that the SME would default on loans derived from financing for …

A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in …

G Yao, X Hu, G Wang - Expert Systems with Applications, 2022 - Elsevier
Enterprise credit risk prediction in the supply chain context is an important step for decision
making and early credit crisis warnings. Improving the prediction performance of this task is …

[PDF][PDF] Conceptual framework for assessing the impact of financial access on SME growth and economic equity in the US

YM Soremekun, KM Abioye, TO Sanyaolu… - … and Reviews Journal, 2024 - researchgate.net
This review paper presents a conceptual framework for enhancing risk assessment models
for small and medium-sized enterprises (SMEs) by integrating advanced analytics and …

A privacy-preserving decentralized credit scoring method based on multi-party information

H He, Z Wang, H Jain, C Jiang, S Yang - Decision Support Systems, 2023 - Elsevier
With society's wide-scale adoption of information technology, significant information about
borrowers is distributed across various parties, information that can be jointly used to …

[HTML][HTML] A two-stage credit scoring model based on random forest: Evidence from Chinese small firms

Y Zhou, L Shen, L Ballester - International Review of Financial Analysis, 2023 - Elsevier
Small firms are major contributors to most economies, often supported by government
policies. However, the credit scoring of small firms is complicated and costly, making it a …

Blockchain-driven framework for financing credit in small and medium-sized real estate enterprises

YH Lin, R Zheng, F Wu, N Zeng, J Li… - Journal of Enterprise …, 2024 - emerald.com
Purpose This study aimed to improve the financing credit evaluation for small and medium-
sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed …

Financial distress prediction using the Q&A text of online interactive platforms

C Jiang, L Ma, Z Wang, B Chen - Electronic Commerce Research and …, 2023 - Elsevier
The text-based question and answer (Q&A) information of online interactive platforms
reflects the concerns of investors and the responses of companies, which can reduce …

Clues from networks: quantifying relational risk for credit risk evaluation of SMEs

J Long, C Jiang, S Dimitrov, Z Wang - Financial Innovation, 2022 - Springer
Owing to information asymmetry, evaluating the credit risk of small-and medium-sized
enterprises (SMEs) is difficult. While previous studies evaluating the credit risk of SMEs have …