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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>2026</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Regression Model Forecasting Stock Price Synchronization with Risk Management</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">24455</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijfma.2026.78603.2275</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Dariyush</FirstName>
					<LastName>Hayatifar</LastName>
<Affiliation>Department of Accounting, QaS.C., Islamic Azad University, Qaemshahr, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Mohammad Hasan</FirstName>
					<LastName>Hashemi Kochaksaraei</LastName>
<Affiliation>Department of Accounting, QaS.C., Islamic Azad University, Qaemshahr, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Omid</FirstName>
					<LastName>Eslamzadeh</LastName>
<Affiliation>Department of Accounting, QaS.C., Islamic Azad University, Qaemshahr, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		<Abstract>Stock price synchronization is an indicator of the degree to which stock price changes in common with changes in market returns, which indicates the degree to which market information is reflected in stock prices relative to company-specific information, and has many applications. Existing market conditions and existing risks indicate that risk management is effective in estimating stock price synchronization. Therefore, the purpose of the present study is to predict the regression model of stock price synchronization with risk management in companies listed on the Tehran Stock Exchange. The relevant research is applied and correlational. Data related to 122 companies in the period 2018-2023 were analyzed in econometric software to predict the regression model of stock price synchronization with risk management. Finally, regression analysis showed that risk management has the ability to predict stock price synchrony. In today&#039;s volatile conditions, risk management should be considered as the most important predictive variable of regression models. This research has predictive value for analysts and investors.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">risk management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">stock price synchrony</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Regression Model</Param>
			</Object>
		</ObjectList>
</Article>
</ArticleSet>
