Research On Auction Value Assessment Of Finan-cial Non-Performing Assets Based On Bp Neural Network
The proportion and quality of financial non-performing assets is a direct re-flec-tion of the risk management ability of banks and financial institutions. Re-search on the auction value of non-performing assets and the construction of a reliable non-performing asset value assessment model can help improve the effi-ciency 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.
Authors
- Hong Zhang (ORCID: https://orcid.org/0000-0002-9401-8409)
- C. L. Luo (ORCID: https://orcid.org/0000-0002-6506-5740)
Institutions
- Guangxi University of Science and Technology (CN)
Publication Details
- Journal
- Economics & Business Management
- Published
- 2025-03-08
- DOI
- https://doi.org/10.63313/ebm.9005
- Primary Topic
- Evaluation Methods in Various Fields
- Type
- article
- Field-Weighted Citation Impact
- 0.00