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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Journal of Asset Management and Financing</JournalTitle>
				<Issn>2383-1189</Issn>
				<Volume>6</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification and Analysis of Operational Risks: A Fuzzy Cognitive Map Approach</ArticleTitle>
<VernacularTitle>Identification and Analysis of Operational Risks: A Fuzzy Cognitive Map Approach</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>18</LastPage>
			<ELocationID EIdType="pii">22803</ELocationID>
			
<ELocationID EIdType="doi">10.22108/amf.2018.103404.1087</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Khadije</FirstName>
					<LastName>Mostafaee</LastName>
<Affiliation>Tarbiyat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Adel</FirstName>
					<LastName>Azar</LastName>
<Affiliation>Tarbiyat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Abbas</FirstName>
					<LastName>Moghbel</LastName>
<Affiliation>Tarbiyat Modares University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>15</Day>
				</PubDate>
			</History>
		<Abstract>Recently, banks and financial institutions have paid more and more attention to operational risk management. As Basel and other risk management frameworks have acknowledged, risk identification is considered as the first step of risk management process. Although estimating the risk of coverage capital is considered the ultimate goal of risk measurement and risk assessment, there is no doubt that risk management and control requires identification of the risks and factors causing them, as well as their causal mechanisms. In the present paper, a methodology was developed to map operational risks, risk factors, risk consequences and their causal links. Process based approach was used for risk mapping, and fuzzy cognitive map was introduced as risk mapping tool which is an expert based structuring technique and does not rely on operational risk data bases. Then, risk partitions were determined and finally a set of risk control policies were examined as three different scenarios.</Abstract>
			<OtherAbstract Language="FA">Recently, banks and financial institutions have paid more and more attention to operational risk management. As Basel and other risk management frameworks have acknowledged, risk identification is considered as the first step of risk management process. Although estimating the risk of coverage capital is considered the ultimate goal of risk measurement and risk assessment, there is no doubt that risk management and control requires identification of the risks and factors causing them, as well as their causal mechanisms. In the present paper, a methodology was developed to map operational risks, risk factors, risk consequences and their causal links. Process based approach was used for risk mapping, and fuzzy cognitive map was introduced as risk mapping tool which is an expert based structuring technique and does not rely on operational risk data bases. Then, risk partitions were determined and finally a set of risk control policies were examined as three different scenarios.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Operational Risk</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Risk Identification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Risk Map</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Cognitive Map</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Risk Management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://amf.ui.ac.ir/article_22803_75eacbbf6c67b71873f299d365558dd3.pdf</ArchiveCopySource>
</Article>
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