19 citations · 44 across the 4 of their papers we have counts for
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q-fin.ST2019★ 19 cited
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
Xinyi Li, Yinchuan Li, Hongyang Yang +2
Stock price prediction is important for value investments in the stock market. In particular, short-term prediction that exploits financial news articles is promising in recent yea…
q-fin.ST2019★ 11 cited
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Xinyi Li, Yinchuan Li, Xiao-Yang Liu +1
Midterm stock price prediction is crucial for value investments in the stock market. However, most deep learning models are essentially short-term and applying them to midterm pred…
q-fin.ST2019★ 9 cited
Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
Xinyi Li, Yinchuan Li, Yuancheng Zhan +1
Portfolio allocation is crucial for investment companies. However, getting the best strategy in a complex and dynamic stock market is challenging. In this paper, we propose a novel…