Predicting Downside in Stock Market Using Knowledge and News Data

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)(2021)

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摘要
Traditionally, decision making in the stock market greatly depends on human expertise in sophisticated information processing, such as analyzing various financial reports and related news. However, limitations of expertise, time, and resources make investors suffer from information overload and information imbalance and may pose a negative impact on the investment market. Recent improvements in co...
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关键词
Stock Downside Risk Prediction,Knowledge Graph,Data Mining
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