Progress on Machine Learning for Regional Financial Risk Prevention

Progress on Machine Learning for Regional Financial Risk Prevention

The regional financial risks prevention (RFRP) is indispensable in managing the regional traditional financial risks (TFR) or preventing the regional financial systemic risks (FSR). With the growing of big data and the uncertainty of financial risk types, traditional econometrics methods are facing...

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Bibliographic Details
Main Author: ZHANG Lihua, ZHANG Shunshun
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-09-01
Series:Jisuanji kexue yu tansuo
Subjects:
|machine learning (ml)|regional financial risk prevention (rfrp)|traditional financial risk (tfr)|financial systemic risk (fsr)
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2203127.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2203127.pdf

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