Enhancing Financial Market Predictions in Taiwan: A Hybrid Approach of Traditional Analysis and Machine Learning Techniques
Author:
Affiliation:
1. Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10630710/10630711/10630738.pdf?arnumber=10630738
Reference39 articles.
1. Efficient Capital Markets: A Review of Theory and Empirical Work
2. Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting
3. Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches
4. Forecasting stock market movement direction with support vector machine
5. Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
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