The lending risk predicting of the folk informal financial organization from big data using the deep learning hybrid model
Finance Research Letters
; : 103212, 2022.
Article
in English
| ScienceDirect | ID: covidwho-1966570
ABSTRACT
ABSTACT This article is first to predict and earlier warning folk lending risk used deep learning hybrid model, we find that the LSTM hybrid model has a higher predict accuracy on lending risk forecasting and earlier warning of the FIFO, with an obviously improvement of the average value of forecasting accuracy. The predict accuracy of LSTM-GRU and LSTM-CNN models on lending risk forecasting of the FIFO is higher than others during COVID-19 pandemic. Therefore, we believe that the LSTM hybrid model, especially the LSTM-GRU model can better predict and early warn lending risk of the FIFO on big data.
Full text:
Available
Collection:
Databases of international organizations
Database:
ScienceDirect
Type of study:
Prognostic study
Language:
English
Journal:
Finance Research Letters
Year:
2022
Document Type:
Article
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