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Paper Information

Journal:   THE IRANIAN ACCOUNTING AND AUDITING REVIEW   WINTER 2010 , Volume 16 , Number 58; Page(s) 0 To 0.
 
Paper: 

PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM

 
 
Author(s):  ARAB MAZAR YAZDI MOHAMMAD, GHASEMI MAHSA
 
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Abstract: 

The article set out to create useful predicting tool for pricing initial public offerings through combining neural networks and genetic algorithm. The theoretical framework of this study is information asymmetry theory. Although the literature of pricing initial public offerings introduces variety of possible signals, a few of them have considerable effect on efficiency of predicting. The results show that combining neural networks and genetic algorithm in order to selecting the best variables improves considerably the forecasting power.

 
Keyword(s): PRICING, GENETIC ALGORITHM, ARTIFICIAL NEURAL NETWORKS, INITIAL PUBLIC OFFERINGS
 
 
References: 
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Citations: 
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+ Click to Cite.
APA: Copy

ARAB MAZAR YAZDI, M., & GHASEMI, M. (2010). PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. THE IRANIAN ACCOUNTING AND AUDITING REVIEW, 16(58), 0-0. https://www.sid.ir/en/journal/ViewPaper.aspx?id=190816



Vancouver: Copy

ARAB MAZAR YAZDI MOHAMMAD, GHASEMI MAHSA. PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. THE IRANIAN ACCOUNTING AND AUDITING REVIEW. 2010 [cited 2021June22];16(58):0-0. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=190816



IEEE: Copy

ARAB MAZAR YAZDI, M., GHASEMI, M., 2010. PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. THE IRANIAN ACCOUNTING AND AUDITING REVIEW, [online] 16(58), pp.0-0. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=190816.



 
 
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