Premium
Influencing factors for predicting financial performance based on genetic algorithms
Author(s) -
Jiang Yanxia,
Xu Lida,
Wang Huacheng,
Wang Hui
Publication year - 2009
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.967
Subject(s) - finance , genetic algorithm , computer science , linear discriminant analysis , variable (mathematics) , discriminant , china , machine learning , algorithm , artificial intelligence , mathematics , economics , mathematical analysis , political science , law
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.