Discrete Dynamics in Nature and Society
Volume 2009 (2009), Article ID 250206, 8 pages
doi:10.1155/2009/250206
Research Article

The Application of SVMs Method on Exchange Rates Fluctuation

Zuoquan Zhang1 and Qin Zhao2

1School of Sciences, Beijing Jiaotong University, Beijing 100044, China
2School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

Received 19 October 2009; Accepted 18 December 2009

Academic Editor: Guang Zhang

Copyright © 2009 Zuoquan Zhang and Qin Zhao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. W. Xiaoqiu, Security Investment Analysis, Renmin University of China Press, Beijing, China, 2001.
  2. Y. Yiwen and Y. Zhaojun, “Financial time series forecasting based on support vector machine,” System Engineering Theorem Methodology Applications, vol. 14, no. 2, pp. 176–181, 2005.
  3. F. E. H. Tay and L. Cao, “Application of support vector machines in financial time series forecasting,” Omega, vol. 29, no. 4, pp. 309–317, 2001. View at Publisher · View at Google Scholar
  4. W. Huang, Y. Nakamori, and S.-Y. Wang, “Forecasting stock market movement direction with support vector machine,” Computers & Operations Research, vol. 32, no. 10, pp. 2513–2522, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  5. L. Po and H. Jianmin, “Application of SVM in company financing difficulty analysis,” Modern Management Science, vol. 12, pp. 12–14, 2004.
  6. A. Fan and M. Palaniswami, “Stock selection using support vector machines,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN '01), vol. 3, pp. 1793–1798, Washington, DC, USA, July 2001.
  7. L. Jianping, et al., “Support vector machine approach to credit evaluation,” System Engineering, vol. 22, no. 10, pp. 35–39, 2004.