Research On Auction Value Assessment Of Finan-cial Non-Performing Assets Based On Bp Neural Network

Hong Zhang; Chenying Luo

doi:10.63313/EBM.9005

Authors

Hong Zhang Faculty of Economics and Management, Guangxi University of Science and Technology, LiuZhou, China Author
Chenying Luo Faculty of Economics and Management, Guangxi University of Science and Technology, LiuZhou, China Author

DOI:

https://doi.org/10.63313/EBM.9005

Keywords:

Financial Non-Performing Assets, Value Assessment, Neural Network

Abstract

The proportion and quality of financial non-performing assets is a direct reflec-tion of the risk management ability of banks and financial institutions. Research on the auction value of non-performing assets and the construction of a reliable non-performing asset value assessment model can help improve the efficiency of resource allocation. Taking the first-hand data from Alibaba auction website as the data source, the main influencing factors affecting the auction value of non-performing assets are explored. Again on the basis of BP neural network to construct a model of non-performing assets auction value assessment, and fur-ther make empirical analyses for testing, the model has accuracy, enriches the research of financial non-performing assets assessment.

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