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Small and Medium-sized Enterprises (SMEs) are known to play a vital role in economic growth, employment, and innovation. However, they tend to face significant challenges in accessing credit due to limited financial histories, collateral…

General Finance · Quantitative Finance 2025-10-13 Sahab Zandi , Kamesh Korangi , Juan C. Moreno-Paredes , María Óskarsdóttir , Christophe Mues , Cristián Bravo

This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes:…

Risk Management · Quantitative Finance 2024-09-27 Bingyao Liu , Iris Li , Jianhua Yao , Yuan Chen , Guanming Huang , Jiajing Wang

Small and Medium-sized Enterprises (SMEs) are vital to the modern economy, yet their credit risk analysis often struggles with scarce data, especially for online lenders lacking direct credit records. This paper introduces a Graph Neural…

Machine Learning · Computer Science 2025-07-22 Zizhou Zhang , Qinyan Shen , Zhuohuan Hu , Qianying Liu , Huijie Shen

The marketing departments of financial institutions strive to craft products and services that cater to the diverse needs of businesses of all sizes. However, it is evident upon analysis that larger corporations often receive a more…

Risk Management · Quantitative Finance 2025-02-25 Luiz Tavares , Jose Mazzon , Francisco Paletta , Fabio Barros

We introduce a binary regression accounting-based model for bankruptcy prediction of small and medium enterprises (SMEs). The main advantage of the model lies in its predictive performance in identifying defaulted SMEs. Another advantage,…

Methodology · Statistics 2013-12-11 Raffaella Calabrese , Giampiero Marra , Silvia Angela Osmetti

Company financial risks pose a significant threat to personal wealth and national economic stability, stimulating increasing attention towards the development of efficient andtimely methods for monitoring them. Current approaches tend to…

Computational Engineering, Finance, and Science · Computer Science 2025-03-11 Huaming Du , Lei Yuan , Qing Yang , Xingyan Chen , Yu Zhao , Han Ji , Fuzhen Zhuang , Carl Yang , Gang Kou

As impressively shown by the financial crisis in 2007/08, contagion effects in financial networks harbor a great threat for the stability of the entire system. Without sufficient capital requirements for banks and other financial…

Risk Management · Quantitative Finance 2019-11-19 Daniel Ritter

Corporate insolvency can have a devastating effect on the economy. With an increasing number of companies making expansion overseas to capitalize on foreign resources, a multinational corporate bankruptcy can disrupt the world's financial…

Statistical Finance · Quantitative Finance 2018-02-16 Jacky C. K. Chow

Supply chain disruptions constitute an often underestimated risk for financial stability. As in financial networks, systemic risks in production networks arises when the local failure of one firm impacts the production of others and might…

Statistical Finance · Quantitative Finance 2025-02-25 Jan Fialkowski , Christian Diem , András Borsos , Stefan Thurner

Interbank contagion can theoretically exacerbate losses in a financial system and lead to additional cascade defaults during downturn. In this paper we produce default analysis using both regression and neural network models to verify…

Risk Management · Quantitative Finance 2020-05-29 Riccardo Doyle

Nowadays small and medium-sized enterprises have become an essential part of the national economy. With the increasing number of such enterprises, how to evaluate their credit risk becomes a hot issue. Unlike big enterprises with massive…

Risk Management · Quantitative Finance 2022-05-03 Marui Du , Yue Ma , Zuoquan Zhang

Efficient prediction of default risk for bond-issuing enterprises is pivotal for maintaining stability and fostering growth in the bond market. Conventional methods usually rely solely on an enterprise's internal data for risk assessment.…

Machine Learning · Computer Science 2025-01-08 Xurui Li , Xin Shan , Wenhao Yin , Haijiao Wang

Small and Medium Enterprises (SMEs) constitute 99.9% of U.S. businesses and generate 44% of economic activity, yet systematically identifying high-potential SMEs remains an open challenge. We introduce SME-HGT, a Heterogeneous Graph…

Machine Learning · Computer Science 2026-03-02 Yijiashun Qi , Hanzhe Guo , Yijiazhen Qi

Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks. During economic slowdowns, corporate default may spread like a virus and lead to large-scale defaults or…

Risk Management · Quantitative Finance 2020-09-01 Zhibin Niu , Runlin Li , Junqi Wu , Dawei Cheng , Jiawan Zhang

This paper presents a novel approach to credit risk prediction by employing Graph Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers. Leveraging the power of big data and artificial intelligence, the proposed…

Machine Learning · Computer Science 2024-10-08 Mengfang Sun , Wenying Sun , Ying Sun , Shaobo Liu , Mohan Jiang , Zhen Xu

We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial networks assumes independent connections between banks, whereas…

Physics and Society · Physics 2017-04-12 Thomas R. Hurd , James P. Gleeson , Sergey Melnik

Propagation of balance-sheet or cash-flow insolvency across financial institutions may be modeled as a cascade process on a network representing their mutual exposures. We derive rigorous asymptotic results for the magnitude of contagion in…

Risk Management · Quantitative Finance 2014-03-26 Hamed Amini , Rama Cont , Andreea Minca

Credit risk assessment of a company is commonly conducted by utilizing financial ratios that are derived from its financial statements. However, this approach may not fully encompass other significant aspects of a company. We propose the…

Computational Engineering, Finance, and Science · Computer Science 2024-01-29 Xinlin Wang , Mats Brorsson

In the current context of accelerated globalization and digitalization, the complexity and uncertainty of financial markets are increasing, and the identification and prevention of economic risks have become a key link in maintaining the…

Statistical Finance · Quantitative Finance 2024-11-20 Xin Zhang , Zhen Xu , Yue Liu , Mengfang Sun , Tong Zhou , Wenying Sun

Bankruptcy is a legal procedure that claims a person or organization as a debtor. It is essential to ascertain the risk of bankruptcy at initial stages to prevent financial losses. In this perspective, different soft computing techniques…

Machine Learning · Computer Science 2015-02-13 Kalyan Nagaraj , Amulyashree Sridhar
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