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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 256-261
ABSTRACT
This paper shows that share price could be confirmed accurately by the assessment model of stock price based on rough set (RS) and Support Vector Machines (SVM). This model can remove the impact of "bull" and "bear" market and avoid controlling share price from executives effectively at the exercising date. According to the case analysis, the model is proved to be more exercisable, and it paves the way for actualizing executive stock option (ESO) in Listed Company.
INDEX TERMS
SVM, Rough set, Executive Stock Option
CITATION
Zhengyuan Jia, Jia Han, "An Improved Model of Executive Stock Option Based on Rough Set and Support Vector Machines", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 256-261, 2008, doi:10.1109/PACIIA.2008.160
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