Two-stage optimization support vector machine for the construction of investment strategy model

References

• Lin , Y. T. and Chen , C. H. 2001 . A study on the application of genetic programming in timing trading strategy for the stock market thesis collection of the 12th International Information Management Forum
   Google Scholar
• Tsai , Y. C. , Chen , C. M. , Yang , T. Y. and Wang , C. Y. 1999 . Application of neural network in the study of investment strategy of stocks . Journal of Chinese Management Review , 1 ( 5 ) : 25 – 48 .
   Google Scholar
• Huang , H. C. , Yue , J. C. , Yang , S. S. and Huang , Y. F. 2006 . A study of stochastic investment model and investment strategies for longterm liabilities . Review of Securities and Futures Markets , 18 ( 2 ) : 1 – 40 .
   Google Scholar
• Huang , C. L. , Chen , M. C. and Wang , C. J. 2004 . Application of support vector machine in accreditation . Journal of Quantitative Management , 1 ( 2 ) : 155 – 172 .
   Google Scholar
• Hung , C. L. and Chen , C. H. 2006 . “ Multi-expert bankruptcy prediction model based on expectation probability ” . In 2006 Academic Forum of National Taipei College of Business – Conference on Information Management and Practices
   Google Scholar
• Vapnik , V. 1995 . Support-vector networks . Machine Learning , 20 ( 3 ) : 273 – 297 .
   Web of Science ®Google Scholar
• Wan , T. F. 2007 . Technical Study of How to Get Profit from the Stock Market , Taipei City : Flag Publishing Co. Ltd .
   Google Scholar
• Kao , C. 2007 . Principle of Artificial Neural Network and Neo-genuine Neo-genuine Example, 2nd version , China Machine Press .
   Google Scholar
• Holland , J. 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor , MI : University of Michigan Press .
   Google Scholar
• Bradley , A. P. 1997 . The use of the area under the ROC curve in the evaluation of machine learning algorithms . Pattern Recognition , 30 ( 7 ) : 1145 – 1159 .
   Web of Science ®Google Scholar