ESTIMATING INITIAL PUBLIC OFFERING PRICES USING ARTIFICIAL NEURAL NETWORKS

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ARAB MAZAR YAZDI MOHAMMAD; GHASEMI MAHSA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: JOURNAL OF ACCOUNTING AND AUDITING RESEARCHES (ACCOUNTING RESEARCH) Year:2009 | Volume:1 | Issue:1 Page(s): 74-95

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Information Journal Paper

Title

ESTIMATING INITIAL PUBLIC OFFERING PRICES USING ARTIFICIAL NEURAL NETWORKS

Author(s)

ARAB MAZAR YAZDI MOHAMMAD | GHASEMI MAHSA | Issue Writer Certificate

Keywords

INITIAL PUBLIC OFFERINGQ3

PRICINGQ3

ORDINARY LEAST-SQUARES REGRESSION MODELQ3

ARTIFICIAL NEURAL NETWORKSQ2

Abstract

The article set out to compare the explanatory power of neural network models and ordinary least-squares regression to estimate INITIAL PUBLIC OFFERING (IPO) prices. The aim is to design a model to help investors to identify the accuracy of PRICING of IPOs and use profitable opportunities. Therefore the variables used in this research are selected from those available to outside investors immediately before the flotation. On the other hand, the results of this paper can be useful for the issuing firms, consultants, underwriters and regulators of Tehran Stock Exchange. The results show that using neural networks reduces the accuracy of PRICING of IPOs to some extent and makes no advantage over regression models.

Cites

COMPARATIVE INVESTIGATION OF CAPITAL STRUCTURE IN HIGH- TECH AND TRADITIONAL COMPANIES USING ARTIFICIAL NEURAL NETWORK AND MULTIPLE REGRESSION ANALYSIS

References

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APA: Copy

ARAB MAZAR YAZDI, MOHAMMAD, & GHASEMI, MAHSA. (2009). ESTIMATING INITIAL PUBLIC OFFERING PRICES USING ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ACCOUNTING AND AUDITING RESEARCHES (ACCOUNTING RESEARCH), 1(1), 74-95. SID. https://sid.ir/paper/157313/en

Vancouver: Copy

ARAB MAZAR YAZDI MOHAMMAD, GHASEMI MAHSA. ESTIMATING INITIAL PUBLIC OFFERING PRICES USING ARTIFICIAL NEURAL NETWORKS. JOURNAL OF ACCOUNTING AND AUDITING RESEARCHES (ACCOUNTING RESEARCH)[Internet]. 2009;1(1):74-95. Available from: https://sid.ir/paper/157313/en

IEEE: Copy

MOHAMMAD ARAB MAZAR YAZDI, and MAHSA GHASEMI, “ESTIMATING INITIAL PUBLIC OFFERING PRICES USING ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF ACCOUNTING AND AUDITING RESEARCHES (ACCOUNTING RESEARCH), vol. 1, no. 1, pp. 74–95, 2009, [Online]. Available: https://sid.ir/paper/157313/en

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