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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Accounting and Auditing Review</JournalTitle>
				<Issn>2645-8020</Issn>
				<Volume>14</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2008</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>-</ArticleTitle>
<VernacularTitle>-</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">19117</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		    <Abstract>This article examines the disaggregating of earnings on predicting future operating cash flows in the firms listed in Tehran Stock Exchange. Our sample is 41 firms during the period of 1376-1384 (Iranian calendar). Specifically, our analysis is based on the panel data regression framework employed by Al-Attar and Hussain (2004).
We develop a model for cash flow prediction that decomposes earnings into cash and accrual components. We find that earnings components do reflect better information relating to future cash flows. Furthemor we also decompose accruals into five components and investigate the ability of model to predict future cash flows. We find that the disaggregating can generate superior explanatory power in regard to future cash flows.</Abstract>
			<OtherAbstract Language="FA">This article examines the disaggregating of earnings on predicting future operating cash flows in the firms listed in Tehran Stock Exchange. Our sample is 41 firms during the period of 1376-1384 (Iranian calendar). Specifically, our analysis is based on the panel data regression framework employed by Al-Attar and Hussain (2004).
We develop a model for cash flow prediction that decomposes earnings into cash and accrual components. We find that earnings components do reflect better information relating to future cash flows. Furthemor we also decompose accruals into five components and investigate the ability of model to predict future cash flows. We find that the disaggregating can generate superior explanatory power in regard to future cash flows.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Accruals</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">earnings</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Operating Cash Flows</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">panel data</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://acctgrev.ut.ac.ir/article_19117_7c016509737f407f177ab479a607fdab.pdf</ArchiveCopySource>
</Article>
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