Influencing factors for predicting financial performance based on genetic algorithms
Article first published online: 9 MAR 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Systems Research and Behavioral Science
Volume 26, Issue 6, pages 661–673, November/December 2009
How to Cite
Jiang, Y., Xu, L., Wang, H. and Wang, H. (2009), Influencing factors for predicting financial performance based on genetic algorithms. Syst. Res., 26: 661–673. doi: 10.1002/sres.967
- Issue published online: 12 OCT 2009
- Article first published online: 9 MAR 2009
- financial performance;
- influencing factors;
- genetic algorithms;
- ratio selection;
- systems thinking
In this paper, considering the financial performance of China's listed companies as the dependent variable, a computational intelligence method based on genetic algorithms and discriminant analysis is employed to screen variables that influence financial performance and forecast the change of financial performance. Specifically, a new model based on genetic algorithms is developed to screen factors that influence financial performance of Chinese listed companies. The empirical results show that variables selected by genetic algorithms can predict financial performance well. Copyright © 2009 John Wiley & Sons, Ltd.