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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Semnan University</PublisherName>
				<JournalTitle>International Journal of Nonlinear Analysis and Applications</JournalTitle>
				<Issn>2008-6822</Issn>
				<Volume>15</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Prioritization of factors affecting the exit from the bankruptcy of companies listed in the Tehran Stock Exchange</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>329</FirstPage>
			<LastPage>336</LastPage>
			<ELocationID EIdType="pii">7643</ELocationID>
			
<ELocationID EIdType="doi">10.22075/ijnaa.2023.30316.4381</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Sahraei</LastName>
<Affiliation>Faculty of Management and Economics,  Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Jafar</FirstName>
					<LastName>Jamali</LastName>
<Affiliation>Faculty of Management and Economics,  Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hamid Reza</FirstName>
					<LastName>Vakilifard</LastName>
<Affiliation>Department of Accounting, Faculty of Management and Economics,   Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Zare</LastName>
<Affiliation>Department of Law, Faculty of Theology and Political Sciences, Sciences and Research Branch,  Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Yaghoub</FirstName>
					<LastName>Zeraatkish</LastName>
<Affiliation>Department of Agricultural Economic, Faculty of Agricultural Sciences and Food Engineering, Sciences and Research Branch,  Islamic Azad University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>01</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>Companies should evaluate the nature of the crisis after a detailed pathology of the factors causing the problem and look for appropriate solutions to get out of this crisis. This study was conducted on 144 companies from 2010-2021 to prioritize the factors affecting the exit from bankruptcy and financial revival of the companies using the analysis of multiplayer artificial neural networks. First, financial ratios obtained from the literature review and expert evaluation were independentist of each other through principal component analysis. Then, the main components affecting exit from bankruptcy under logistic regression models were identified, and finally, the final logistic model for exit from bankruptcy was presented. Based on the results, the essential financial variable in exiting bankruptcy is the change in capital increase policies from the place of stock issuance. The least critical variable is the change in dividend policies.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bankruptcy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">exit from bankruptcy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">financial revival</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial Neural Network</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijnaa.semnan.ac.ir/article_7643_c3469e453e163003accc535cb44d4968.pdf</ArchiveCopySource>
</Article>
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