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<Article>
<Journal>
				<PublisherName>Semnan University</PublisherName>
				<JournalTitle>International Journal of Nonlinear Analysis and Applications</JournalTitle>
				<Issn>2008-6822</Issn>
				<Volume></Volume>
				<Issue></Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>19</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Management of non-performing loans during the crisis using evolutionary game theory</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">10069</ELocationID>
			
<ELocationID EIdType="doi">10.22075/ijnaa.2024.33178.4940</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Zohreh</FirstName>
					<LastName>Lashgari</LastName>
<Affiliation>Department of Mathematics, Semnan University, Semnan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Madjid</FirstName>
					<LastName>Eshaghi</LastName>
<Affiliation>Department of Mathematics, Semnan University, Semnan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Bahiraie</LastName>
<Affiliation>Department of Mathematics, Semnan University, Semnan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Askari Harooni</LastName>
<Affiliation>Department of Mathematics, Semnan University, Semnan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>02</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we present a mathematical model based on the evolutionary game theory of the performance of banks, regulators and advisory committees on NPLs. This model can help banks control these loans in times of crisis so that they can make optimal decisions and identify and adjust the parameters affecting these decisions. This article is designed to provide guidelines for controlling non-performing loans (NPLs) during crises. Using evolutionary game theory, the game is presented between the bank, the regulators and the advisory committee to prevent the increase of this loan. The results show that by strengthening the presence of regulators and advisory committee and their effective supervision of the bank, it is possible to help control these loans in the context of the global crisis. In this paper, the parameters affecting NPLs using the evolutionarily stable strategy are shown. Also, by identifying and adjusting some of these parameters, suggestions for controlling these loans are presented. By controlling these types of loans in times of crisis, banks can invest in new activities and increase their growth and profitability.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Evolutionary game theory</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bank</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">COVID-19</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Replication Dynamic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Evolutionary stable strategy</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijnaa.semnan.ac.ir/article_10069_ed750fafbda224343abd3fd7d90a7b57.pdf</ArchiveCopySource>
</Article>
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