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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Applied Theories of Economics</JournalTitle>
				<Issn>2423-6586</Issn>
				<Volume>5</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An Appraisal of Downside and Upside Risk Spillovers of Exchange Rates, Crude Oil and Gold Prices on Tehran Stock Exchange</ArticleTitle>
<VernacularTitle>An Appraisal of Downside and Upside Risk Spillovers of Exchange Rates, Crude Oil and Gold Prices on Tehran Stock Exchange</VernacularTitle>
			<FirstPage>143</FirstPage>
			<LastPage>172</LastPage>
			<ELocationID EIdType="pii">8476</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Mehdi</FirstName>
					<LastName>Barghi Osguei</LastName>
<Affiliation>Associated Professor of Economics, University of Tabriz</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Saghafi Kelvanag</LastName>
<Affiliation>Ph.D. in Economics, University of Tabriz</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>09</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>In this Paper, we examined the upside and downside Risk spillovers between exchanges rates, crude oil, gold, and stock prices in Iranian financial markets. Due to special characteristics of financial data, we used copula methods to assess correlation between returns of the markets and using VaR and CoVaR approaches we examined the risk spillovers between markets. Our data spans from 2006-07-19 to 2017-03-21. Results show that the correlations between the exchange rates and the stock prices, as well as the oil prices and the exchange rates were symmetric but the correlations between the gold prices and the stock prices as well as the crude oil prices and stock market were asymmetric and strong in the upper tails. CoVaR analysis shows that risk spillover effects between the stock and gold prices are stronger than the other variables. The relationship between exchange rates and oil prices against stock prices are considered to be mostly between returns but there are some risk spillovers too. In most cases upper risk spillovers are stronger than lower ones.</Abstract>
			<OtherAbstract Language="FA">In this Paper, we examined the upside and downside Risk spillovers between exchanges rates, crude oil, gold, and stock prices in Iranian financial markets. Due to special characteristics of financial data, we used copula methods to assess correlation between returns of the markets and using VaR and CoVaR approaches we examined the risk spillovers between markets. Our data spans from 2006-07-19 to 2017-03-21. Results show that the correlations between the exchange rates and the stock prices, as well as the oil prices and the exchange rates were symmetric but the correlations between the gold prices and the stock prices as well as the crude oil prices and stock market were asymmetric and strong in the upper tails. CoVaR analysis shows that risk spillover effects between the stock and gold prices are stronger than the other variables. The relationship between exchange rates and oil prices against stock prices are considered to be mostly between returns but there are some risk spillovers too. In most cases upper risk spillovers are stronger than lower ones.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Financial Markets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Spillover Effects</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">VaR</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CoVaR</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Copulae</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ecoj.tabrizu.ac.ir/article_8476_26e3ff45ed6c98be94fedb8ddcea68ba.pdf</ArchiveCopySource>
</Article>
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