Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information
By Xiaodong Li, Xiaodi Huang, Xiaotie Deng, Shanfeng Zhu. 2014
64 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
In Management Science and Operations Research
- Mathias Kraus
- Abolghasem Sadeghi-Niaraki
- Zhaoqing Pan
- Xiaodong Li
- Stefan Feuerriegel
- Jingjing Cao
- Weiwei Jiang
- M. Ugur Gudelek
Citations in the corpus
- Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018, methodology): “Researchers have applied many algorithms such as multiple kernel learning [3], deep learning [5], [18], [17], stepwise regression analysis [4], etc.”
- Decision support from financial disclosures with deep neural networks and transfer learning (2017, background): “The text source can come in various forms such as, e. g., headlines of news stories [19], the content of newspaper articles [20, 11, 21, 22, 23] or company-specific disclosures [24, 6].”
- Market impact analysis via deep learned architectures (2018, background): “, market news and stock tick prices used in [47].”