Deep learning for event-driven stock prediction

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2015-January, Issue , 2015, Pages 2327-2333

  Ding, Xiao ^a   Zhang, Yue ^b   Liu, Ting ^a   Duan, Junwen ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; FINANCIAL MARKETS; NEURAL NETWORKS;

BASELINE METHODS; CONVOLUTIONAL NEURAL NETWORK; INDEX PREDICTIONS; MARKET SIMULATION; STATE OF THE ART; STOCK MARKET PREDICTION; STOCK PREDICTIONS; STOCK PRICE MOVEMENTS;

FORECASTING;

EID: 84949744124     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Torben Gandersen and Tim Bollerslev. Intraday periodicity and volatility persistence in financial markets. Journal of empirical finance, 4(2):115-158, 1997.
2. Yoshua Bengio, Hugo Larochelle, and Pascal Vincent. Non-local manifold parzen windows. In Proc. of NIPS, pages 115-122, 2005.
3. Yoshua Bengio. Learning deep architectures for ai. Foundations and trends® in Machine Learning, 2(1):1-127, 2009.
4. Johan Bollen, Huina Mao, and Xiaojun Zeng. Twitter mood predicts the stock market. Journal of Computational Science, 2(1):1-8, 2011.
5. Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio, et al. Learning structured embeddings of knowledgebases. In Proc. of AAAI, 2011.
6. David M Cutler, James M Poterba, and Lawrence H Summers. What moves stock prices? Bernstein, Peter L. and Frank L. Fabozzi, pages 56-63, 1998.
7. Sanjiv R Das and Mike Y Chen. Yahoo! for amazon: Sentiment extraction from small talk on the web. Management Science, 53(9):1375-1388, 2007.
8. Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. Using structured events to predict stock price movement: An empirical investigation. In Proc. of EMNLP, pages 1415-1425, Doha, Qatar, October 2014. Association for Computational Linguistics.
9. Eugene Edgington and Patrick Onghena. Randomization tests. CRC Press, 2007.
10. Anthony Fader, Stephen Soderland, and Oren Etzioni. Identifying relations for open information extraction. In Proc. of EMNLP, pages 1535-1545. Association for Computational Linguistics, 2011.
11. Eugene F Fama. The behavior of stock-market prices. The journal of Business, 38(1):34-105, 1965.
12. Rodolphe Jenatton, Nicolas L Roux, Antoine Bordes, and Guillaume R Obozinski. A latent factor model for highly multi-relational data. In Proc. of NIPS, pages 3167-3175, 2012.
13. Shimon Kogan, Dimitry Levin, Bryan R. Routledge, Jacob S. Sagi, and Noah A. Smith. Predicting risk from financial reports with regression. In Proc. of NAACL, pages 272-280, 2009.
14. Victor Lavrenko, Matt Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, and James Allan. Mining of concurrent text and time series. In KDD-2000 Workshop on Text Mining, pages 37-44, 2000.
15. Ronny Luss and Alexandre d'Aspremont. Predicting abnormal returns from news using text classification. Quantitative Finance, (doi:10.1080/14697688.2012.672762):1-14, 2012.
16. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781, 2013.
17. Kira Radinsky, Sagie Davidovich, and Shaul Markovitch. Learning causality for news events prediction. In Proc. of www, pages 909-918. ACM, 2012.
18. Robert P Schumaker and Hsinchun Chen. Textual analysis of stock market prediction using breaking financial news: The azfin text system. TOIS, 27(2):12, 2009.
19. Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi L.i., and Xiaotie Deng. Exploiting topic based twitter sentiment for stock prediction. In Proc. of ACL, pages 24-29, Sofia, Bulgaria, August 2013.
20. Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, and Huayi Li. Exploiting social relations and sentiment for stock prediction. In Proc. of EMNLP, pages 1139-1145, Doha, Qatar, 2014.
21. Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. Reasoning with neural tensor networks for knowledge base completion. In Proc. of NIPS, pages 926-934, 2013.
22. Stephen J Taylor and Xinzhong Xu. The incremental volatility information in one million foreign exchange quotations. Journal of Empirical Finance, 4(4):317-340, 1997.
23. Stephen J Taylor. Modelling financial time series. 2007.
24. Paul C Tetlock, Maytal SaarTsechansky, and Sofus Macskassy. More than words: Quantifying language to measure firms' fundamentals. The Journal of Finance, 63(3):1437-1467, 2008.
25. Paul C Tetlock. Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3):1139-1168, 2007.
26. William Yang Wang and Zhenhao Hua. A semiparametric gaussian copula regression model for predicting financial risks from earnings calls. In Proc. of ACL, pages 1155-1165, 2014.
27. Boyi Xie, Rebecca J. Passonneau, Leon Wu, and Germán G. Creamer. Semantic frames to predict stock price movement. In Proc. of ACL, pages 873-883, 2013.
28. Yue Zhang and Stephen Clark. Syntactic processing using the generalized perceptron and beam search. Computational Linguistics, 37(1):105-151, 2011.