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

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ARAB MAZAR YAZDI MOHAMMAD; GHASEMI MAHSA

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Paper Information

Journal: THE IRANIAN ACCOUNTING AND AUDITING REVIEW Year:2010 | Volume:16 | Issue:58 Page(s): 0-0

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Title

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

Author(s)

ARAB MAZAR YAZDI MOHAMMAD | GHASEMI MAHSA | Issue Writer Certificate

Keywords

PRICINGQ2

GENETIC ALGORITHMQ2

ARTIFICIAL NEURAL NETWORKSQ3

INITIAL PUBLIC OFFERINGSQ3

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.

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APA: Copy

ARAB MAZAR YAZDI, MOHAMMAD, & GHASEMI, MAHSA. (2010). PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM. THE IRANIAN ACCOUNTING AND AUDITING REVIEW, 16(58), 0-0. SID. https://sid.ir/paper/356977/en

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[Internet]. 2010;16(58):0-0. Available from: https://sid.ir/paper/356977/en

IEEE: Copy

MOHAMMAD ARAB MAZAR YAZDI, and MAHSA GHASEMI, “PRICING INITIAL PUBLIC OFFERINGS: COMBINING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHM,” THE IRANIAN ACCOUNTING AND AUDITING REVIEW, vol. 16, no. 58, pp. 0–0, 2010, [Online]. Available: https://sid.ir/paper/356977/en

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