[HTML][HTML] Exploring the lending business crowdfunding to support SMEs' financing decisions
V Stefanelli, GB Ferilli, V Boscia - Journal of Innovation & Knowledge, 2022 - Elsevier
Lending business crowdfunding (LBC) is an innovative financing tool for small and medium
enterprises (SMEs) and is especially useful in vulnerable and risky markets. To date, little is …
enterprises (SMEs) and is especially useful in vulnerable and risky markets. To date, little is …
Artificial intelligence in predicting the bankruptcy of non-financial corporations
Research background: In a modern economy, full of complexities, ensuring a business'
financial stability, and increasing its financial performance and competitiveness, has …
financial stability, and increasing its financial performance and competitiveness, has …
[HTML][HTML] Profit-and risk-driven credit scoring under parameter uncertainty: a multiobjective approach
Profit-driven artificial intelligence (AI) systems and profit-based performance measures are
widely used in credit scoring. When assessing the performance of an AI system for credit …
widely used in credit scoring. When assessing the performance of an AI system for credit …
Credit risk prediction based on loan profit: Evidence from Chinese SMEs
Z Li, S Liang, X Pan, M Pang - Research in International Business and …, 2024 - Elsevier
Credit risk prediction should maximize a bank's loan profit. This paper performs modified
profit-based logistic regression (MPLR) by constructing an objective function with the …
profit-based logistic regression (MPLR) by constructing an objective function with the …
Macroeconomic environment and the future performance of loans: Evidence from three peer-to-peer platforms
The literature on peer-to-peer loan market performance focuses predominantly on the
microlevel variables connected to individual borrower or loan characteristics. We …
microlevel variables connected to individual borrower or loan characteristics. We …
Enhancing transparency and fairness in automated credit decisions: an explainable novel hybrid machine learning approach
This paper uses a generalised stacking method to introduce a novel hybrid model that
combines a one-dimensional convolutional neural network 1DCNN with extreme gradient …
combines a one-dimensional convolutional neural network 1DCNN with extreme gradient …
Exploring the spatial linkage network of peer-to-peer lending in China
Z Chong, X Wei - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
The existing literature on peer-to-peer (P2P) lending focuses on default rates, regulation, the
relationship with traditional banks, and its impact on individual and corporate lending …
relationship with traditional banks, and its impact on individual and corporate lending …
Cost of Explainability in AI: An Example with Credit Scoring Models
J Dessain, N Bentaleb, F Vinas - World Conference on Explainable …, 2023 - Springer
This paper examines the cost of explainability in machine learning models for credit scoring.
The analysis is conducted under the constraint of meeting the regulatory requirements of the …
The analysis is conducted under the constraint of meeting the regulatory requirements of the …
Credit scoring for peer-to-peer lending
This paper shows how to improve the measurement of credit scoring by means of factor
clustering. The improved measurement applies, in particular, to small and medium …
clustering. The improved measurement applies, in particular, to small and medium …
[HTML][HTML] Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics
This letter analyzes credit risk assessment in the Peer-to-Peer (P2P) lending domain by
leveraging a comprehensive dataset from Bondora, a leading European P2P platform …
leveraging a comprehensive dataset from Bondora, a leading European P2P platform …