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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Financial Research Journal</JournalTitle>
				<Issn>1024-8153</Issn>
				<Volume>11</Volume>
				<Issue>28</Issue>
				<PubDate PubStatus="epublish">
					<Year>2010</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Neural Network Forecasts of Stock Return Using Accounting Ratios</ArticleTitle>
<VernacularTitle>Neural Network Forecasts of Stock Return Using Accounting Ratios</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">20961</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Adel</FirstName>
					<LastName>Azar</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Sirous</FirstName>
					<LastName>Karimi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>1970</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>The aim of this paper is how to predict stock return by using accounting ratios and also by using the procedure of neural network. This paper has considered the prediction of stock return by using accounting ratios with two procedures, the artificial neural network and least square regression. The independent variables in this paper are accounting ratios and dependent variable of stock return, thus; the accounting ratios have collected for 8 years in the industries of cement and medicine.
The hypothesis of the paper has two hypothesizes, that shows the survey ability of neural network procedure  in predicting stock return in comparison with least square regression in the level of two active firms in the two industries</Abstract>
			<OtherAbstract Language="FA">The aim of this paper is how to predict stock return by using accounting ratios and also by using the procedure of neural network. This paper has considered the prediction of stock return by using accounting ratios with two procedures, the artificial neural network and least square regression. The independent variables in this paper are accounting ratios and dependent variable of stock return, thus; the accounting ratios have collected for 8 years in the industries of cement and medicine.
The hypothesis of the paper has two hypothesizes, that shows the survey ability of neural network procedure  in predicting stock return in comparison with least square regression in the level of two active firms in the two industries</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Accounting Ratios</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial Neural Network</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Least Square Regression</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear and Non-linear Relation.</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stock Return</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jfr.ut.ac.ir/article_20961_2b0d389f56b2199d63872b47bea4ec3e.pdf</ArchiveCopySource>
</Article>
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