Abstract
With the development of supply chain finance, the credit risk of small- and medium-sized financing enterprises from the perspective of supply chain finance has arisen. Risk management is one of the key tasks of the credit business of banks and other financial institutions, which runs through all aspects of the credit business before, during, and after the loan. This article combines blockchain and fuzzy neural network algorithms to study the credit risk of SME financing from the perspective of supply chain finance. This article builds a supply chain financial system through blockchain technology and integrates supply chain financial information into blocks. The fuzzy neural network algorithm is used for financial data processing and risk assessment, effectively solving and improving the risk processing level of the supply chain. Through further simulation, the application effect of blockchain and machine learning algorithms in the supply chain financial system was verified.
Highlights
The banking industry is one of the lifeline industries of the country’s economy, and it plays a vital role in economic development, social stability, and people’s livelihood
Credit risk runs through all aspects of the credit business before, during, and after the loan
In the context of preventing financial risks, it is important to evaluate the credit risk of supply chain finance based on the perspective of commercial banks
Summary
The banking industry is one of the lifeline industries of the country’s economy, and it plays a vital role in economic development, social stability, and people’s livelihood. Aberdeen defines supply chain finance from the perspective of financial institutions such as commercial banks He believes that the core of supply chain finance is composed of financial institutions, core enterprises, and information platforms [10, 11]. Lamoureux and Evans proposed that supply chain finance is an innovation that combines financial services and technology It strengthens logistic services through a service platform and reduces the financing costs of all participants in the supply chain [15]. With the development of supply chain finance, the credit risk of small and medium financing enterprises from the perspective of supply chain finance has arisen [19, 20]. By combining blockchain and fuzzy neural network algorithms, this paper studies the credit risk of financing for small- and medium-sized enterprises from the perspective of supply chain finance
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