Abstract
Guard against financial risks, reduce bad loans, increase the ability to identity risk of commercial banks, the key is risk warning. In view of the increasing proportion of personal loans in banking business, it is particularly important to warning personal loans credit risk. Commercial bank lending itself is a complex nonlinear system, using general linear theory is difficult to objectively reflect the laws of this, this paper uses SVM(support vactor machine). Personal loan credit index first constructed, and then use SVM to identify risk. Results showed that SVM plays an important role in identifying risk in personal loans.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
