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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Financial Engineering Association(IFEA)</PublisherName>
				<JournalTitle>International Journal of Finance &amp; Managerial Accounting</JournalTitle>
				<Issn>2588-4379</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Designing an Accounting Information Value Relevance Model Based on Earnings Selectivity and Valuation</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">24192</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijfma.2025.78608.2278</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Azadeh</FirstName>
					<LastName>Shamohamadi</LastName>
<Affiliation>Department Of Accounting,CT.C.,Islamic Azad University,Tehran,Iran</Affiliation>

</Author>
<Author>
					<FirstName>Azita</FirstName>
					<LastName>Jahanshad</LastName>
<Affiliation>Department Of Accounting,CT.C.,Islamic Azad University,Tehran,Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>Studies indicate that investor behavior plays a crucial role in equity valuation. Accordingly, their investment decisions are primarily based on accounting earnings information, which can influence stock price and return fluctuations. The main objective of this research is to design an accounting information value Relevance model based on the valuation and earnings selectivity approach. To identify and categorize influential variables affecting accounting information value, opinions from fundamental analysts in the market (as executive experts) and academic experts were considered. Specifically, 120 fundamental analysts contributed to determining the initial variables, and 28 academic experts helped in selecting variables suitable for preliminary models. Moreover, to develop an optimized and localized model, data from 170 publicly traded companies on the Tehran Stock Exchange between 2014 and 2023 were analyzed. The findings show that out of 28 surveyed variables (from fundamental analysts&#039; perspectives), only 23 were deemed essential. Among these, 15 variables (from academic experts&#039; perspectives) were validated and categorized within the framework of valuation and earnings selectivity. Additionally, the optimized models indicate that in the first model (dependent variable: price), four variables were added, and in the second model (dependent variable: return), eight additional variables were introduced compared to the initial model.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Accounting Information Value Relevance Model, Earnings Valuation, Earnings Selectivity</Param>
			</Object>
		</ObjectList>
</Article>
</ArticleSet>
