Paper
19 December 2021 Credit risk assessment and strategy formulation of MSMes
Yazhen Hu
Author Affiliations +
Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 1212816 (2021) https://doi.org/10.1117/12.2625047
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China
Abstract
Micro, small and medium-sized enterprises are the key to the stability of market entities in China's economy, and credit business is the most important asset business for banks. Based on the time series optimal model and multiple linear regression model, this paper solved the concrete quantification problem of the enterprise credit risk and combines the multi-classification linear discrimination and the strategy tree to formulate the concrete strategy of the bank credit under various circumstances, hope for the relevant practitioners for reference.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yazhen Hu "Credit risk assessment and strategy formulation of MSMes", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 1212816 (19 December 2021); https://doi.org/10.1117/12.2625047
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KEYWORDS
Data modeling

Binary data

Computer programming

Data processing

Quantitative analysis

Statistical analysis

Associative arrays

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