EARNINGS PER-SHARE FORECAST MODELING BY USING NEURAL NETWORKS - FUZZY

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ANVARY ROSTAMY ALI ASGHAR; AZAR ADEL; NOROUZI MOHAMMAD

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Paper Information

Journal: The Financial Accounting and Auditing Researches Year:2014 | Volume:6 | Issue:23 Page(s): 1-15

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Title

EARNINGS PER-SHARE FORECAST MODELING BY USING NEURAL NETWORKS - FUZZY

Author(s)

ANVARY ROSTAMY ALI ASGHAR | AZAR ADEL | NOROUZI MOHAMMAD | Issue Writer Certificate

Keywords

EARNINGS PER SHAREQ2

NEURO-FUZZY NETWORKSQ2

MULTILAYER PERCEPTRON NEURAL NETWORKSQ2

GROUP METHOD OF DATA HANDLING NETWORKSQ2

Abstract

EARNINGS PER SHARE prediction and its changes as an economic events, from past, were interested for investors, managers, financial analysts and creditors. This interest is because of the use of earnings in share valuation models, improving efficient performing of capital markets, and evaluating solvency and evaluating of firm performance. The purpose of this paper is to EARNINGS PER SHARE prediction using neural-fuzzy networks, MLP, GMDH, and determine most preferable model using four measures of evaluating performance. So, companies listed in TSE was chosen as statistical population and statistical sample is consisted of 500 firm-year from 24 active industry from 1386 to 1390 were chosen randomly using clustering sampling. The results show that neural-fuzzy networks is the most preferable comparing with neural networks, MLP, and GDMH, in all of four measures of evaluating performance, that it is showing of high power of this kind of networks in identifying dominant patterns of data and existence of non-liner relations of some accounting variables with EPS. So, the accuracy of neural-fuzzy networks predictions is more than MLP and GDMH, and is more suitable for EPS prediction.

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APA: Copy

ANVARY ROSTAMY, ALI ASGHAR, AZAR, ADEL, & NOROUZI, MOHAMMAD. (2014). EARNINGS PER-SHARE FORECAST MODELING BY USING NEURAL NETWORKS - FUZZY. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, 6(23), 1-15. SID. https://sid.ir/paper/198161/en

Vancouver: Copy

ANVARY ROSTAMY ALI ASGHAR, AZAR ADEL, NOROUZI MOHAMMAD. EARNINGS PER-SHARE FORECAST MODELING BY USING NEURAL NETWORKS - FUZZY. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES[Internet]. 2014;6(23):1-15. Available from: https://sid.ir/paper/198161/en

IEEE: Copy

ALI ASGHAR ANVARY ROSTAMY, ADEL AZAR, and MOHAMMAD NOROUZI, “EARNINGS PER-SHARE FORECAST MODELING BY USING NEURAL NETWORKS - FUZZY,” THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, vol. 6, no. 23, pp. 1–15, 2014, [Online]. Available: https://sid.ir/paper/198161/en

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