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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Financial Research Journal</JournalTitle>
				<Issn>1024-8153</Issn>
				<Volume>17</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Application of an optimization model for constructing an index tracker portfolio and considering the uncertainty of model parameters by using of robust optimization approach</ArticleTitle>
<VernacularTitle>Application of an optimization model for constructing an index tracker portfolio and considering the uncertainty of model parameters by using of robust optimization approach</VernacularTitle>
			<FirstPage>325</FirstPage>
			<LastPage>340</LastPage>
			<ELocationID EIdType="pii">52081</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jfr.2015.52081</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Saeid</FirstName>
					<LastName>Fallahpour</LastName>
<Affiliation>Assistant Prof. Department of Finance and Insurance, Faculty of Management, University of Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Farid</FirstName>
					<LastName>Tondnevis</LastName>
<Affiliation>MSc. Student, Financial Engineering Faculty of Management, University of Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		    <Abstract>index tracking is the process of developing a portfolio that reproduces the performance of an index. The tracker portfolio has relatively good diversity and low turnover and low transaction costs. In this paper we applied a binary programming model for index tracking problem. In this model the number of assets for portfolio construction is defined by portfolio manager. The robust optimization framework is applied for considering data uncertainty of correlation coefficient. The out of sample test demonstrated that considering the data uncertainty by robust optimization framework decrease the tracking error and increase the information ratio of portfolio.</Abstract>
			<OtherAbstract Language="FA">index tracking is the process of developing a portfolio that reproduces the performance of an index. The tracker portfolio has relatively good diversity and low turnover and low transaction costs. In this paper we applied a binary programming model for index tracking problem. In this model the number of assets for portfolio construction is defined by portfolio manager. The robust optimization framework is applied for considering data uncertainty of correlation coefficient. The out of sample test demonstrated that considering the data uncertainty by robust optimization framework decrease the tracking error and increase the information ratio of portfolio.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Robust optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tracking error</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Index tracking</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Information ratio</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jfr.ut.ac.ir/article_52081_6dbe523032e74da51d47dd44aa7ed477.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
