Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
European Journal of Operational Research(2020)
摘要
•We show deep learning to extract features from structured tabular data.•We apply information-fusion-based sensitivity analysis to feature importance.•Deep learning-based features enable more accurate classification of trader risk.•Deep learning-based risk management increases profits in our case study.
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关键词
Risk management,Retail finance,Forecasting,Deep learning
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