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Research Article

Reliability study of stock index forecasting in volatile and trending cities using public sentiment ——based on word2Vec and LSTM models

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References

  • AbuMostafa, Y. S., and A. F. Atiya. ”Introduction to Financial Forecasting.” Applied Intelligence 63 (Jul 1996): 205–213. doi:10.1007/bf00126626.
  • Al-Hmouz, R., W. Pedrycz, and A. Balamash. ”Description and Prediction of Time Series: A General Framework of Granular Computing.” Expert Systems with Applications 42(10): 4830–4839. (Jun 15 2015). doi:10.1016/j.eswa.2015.01.060.
  • Bollen, J., H. Mao, and X. Zeng. ”Twitter Mood Predicts the Stock Market.” Journal of Computational Science 21 (Mar 2011): 1–8. doi:10.1016/j.jocs.2010.12.007.
  • Chen, W., M. Jiang, W.-G. Zhang, and Z. Chen. 2021. “A Novel Graph Convolutional Feature-Based Convolutional Neural Network for Stock Trend Prediction.” Information Sciences 556: 67–94. doi:http://dx.doi.org/10.1016/j.ins.2020.12.068.
  • Chen, K., Y. Zhou, and F. Dai. “An Lstm-Based Method for Stock Returns Prediction: A Case Study of China Stock Market.” Paper presented at the IEEE International Conference on Big Data, Santa Clara, CA, 2015 Oct 29-Nov 01 2015.
  • Chung, H., and K.-S. Shin. 2020. ”Genetic Algorithm-Optimized Multi-Channel Convolutional Neural Network for Stock Market Prediction.” Neural Computing & Applications 32 (12) (Jun): 7897–7914. doi:10.1007/s00521-019-04236-3.
  • Cohen-Charash, Y., C. A. Scherbaum, J. D. Kammeyer-Mueller, and B. M. Staw“Mood and the Market: Can Press Reports of Investors’ Mood Predict Stock Prices?”Plos One88(Aug 28, 2013)10.1371/journal.pone.0072031
  • Fischer, T., and C. Krauss. 2018. “Deep Learning with Long Short-Term Memory Networks for Financial Market Predictions.” European Journal of Operational Research 270 (2 (Oct 16): 654–669. doi:10.1016/j.ejor.2017.11.054.
  • Gao, T., and Y. Chai. 2018. “Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators.” Neural Computation 30 (10): 2833–2854. doi:http://dx.doi.org/10.1162/neco_a_01124.
  • Garleanu, N., and L. Heje Pedersen. ”Efficiently Inefficient Markets for Assets and Asset Management.” The Journal of Finance 73 (4): 1663–1712. doi:10.1111/jofi.12696.
  • Jing, N., Z. Wu, and H. Wang. (Sep 15 2021). ”A Hybrid Model Integrating Deep Learning with Investor Sentiment Analysis for Stock Price Prediction.” Expert Systems with Applications178: 115019. doi:https://doi.org/10.1016/j.eswa.2021.115019.
  • Kim, S. 2021. “Deep Time Series Forecasting for Enhanced Index Tracking.” Applied Economics 53 (17): 1916–1934. doi:10.1080/00036846.2020.1854451.
  • Kim, K. J., and I. Han. 2000. ”Genetic Algorithms Approach to Feature Discretization in Artificial Neural Networks for the Prediction of Stock Price Index.” Expert Systems with Applications 19 (2) (Aug): 125–132. doi:10.1016/s0957-4174(00)00027-0.
  • Kumar, K., and M. Tanwir Uddin Haider. 2021. ”Enhanced Prediction of Intra-Day Stock Market Using Metaheuristic Optimization on Rnn-Lstm Network.” New Generation Computing 39 (1) (Apr): 231–272. doi:10.1007/s00354-020-00104-0.
  • Lee, M.-C. 2009. “Using Support Vector Machine with a Hybrid Feature Selection Method to the Stock Trend Prediction.” Expert Systems with Applications 36 (8): 10896–10904. doi:http://dx.doi.org/10.1016/j.eswa.2009.02.038.
  • Li, J., and C. Yang. 2017. “The Cross-Section and Time-Series Effects of Individual Stock Sentiment on Stock Prices.” Applied Economics 49 (47): 4806–4815. doi:10.1080/00036846.2017.1293795.
  • Nassirtoussi, A. K., S. Aghabozorgi, Y. Wah Teh, and D. Chek Ling Ngo. 2015. ”Text Mining of News-Headlines for Forex Market Prediction: A Multi-Layer Dimension Reduction Algorithm with Semantics and Sentiment.” Expert Systems with Applications 42 (1) (Jan): 306–324. doi:10.1016/j.eswa.2014.08.004.
  • Oliveira, N., P. Cortez, and N. Areal, ”The Impact of Microblogging Data for Stock Market Prediction: Using Twitter to Predict Returns, Volatility, Trading Volume, and Survey Sentiment Indices.” Expert Systems with Applications 73 May 12017: 125–144. 10.1016/j.eswa.2016.12.036
  • Pang, X., Y. Zhou, P. Wang, W. Lin, and V. Chang. ”An Innovative Neural Network Approach for Stock Market Prediction.” The Journal of Supercomputing 763 (Mar 2020): 2098–2118. doi:10.1007/s11227-017-2228-y.
  • Sak, H., A. Senior, and F. Beaufays. “Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling.” Paper presented at the 15th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2014), Singapore, SINGAPORE, 2014 Sep 14-18.
  • Shen, J., J. Griffith, M. Najand, and L. Sun. 2021. “Predicting Stock and Bond Market Returns with Emotions: Evidence from Futures Markets.” Journal of Behavioral Finance 1–12. doi:https://doi.org/10.1080/15427560.2021.1975717.
  • Tian, H., D. Ren, K. Li, and Z. Zhao. 2021. “An Adaptive Update Model Based on Improved Long Short Term Memory for Online Prediction of Vibration Signal.” Journal of Intelligent Manufacturing 32 (1, Jan): 37–49. doi:10.1007/s10845-020-01556-3.
  • Tianyu, D., Z. Zhu, T. Ding, Y. Yang, R. Vidal, M. C. Tsakiris, and D. P. Robinson. “Noisy Dual Principal Component Pursuit.” Paper presented at the 36th International Conference on Machine Learning (ICML), Long Beach, CA, 2019 Jun 09-15
  • Zhou, Z., K. Xu, and J. Zhao. ”Tales of Emotion and Stock in China: Volatility, Causality and Prediction.” World Wide Web-Internet and Web Information Systems 214 (Jul 2018): 1093–1116. doi:10.1007/s11280-017-0495-4.

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