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An Improved Model of Executive Stock Option Based on Rough Set and Support Vector Machines

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2 Author(s)
Zhengyuan Jia ; Bus. & Manage. Dept., North China Electr. Power Univ., Baoding ; Jia Han

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.

Published in:

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on  (Volume:1 )

Date of Conference:

19-20 Dec. 2008

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