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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>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Micro and Macro Herding by Investors and Their Effects on Market Volatility</ArticleTitle>
<VernacularTitle>Micro and Macro Herding by Investors and Their Effects on Market Volatility</VernacularTitle>
			<FirstPage>149</FirstPage>
			<LastPage>166</LastPage>
			<ELocationID EIdType="pii">21578</ELocationID>
			
<ELocationID EIdType="doi">10.22108/amf.2017.21578</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Davallou</LastName>
<Affiliation>Assistant Prof Financial Management, Faculty of Management and Accounting, Shahid Beheshty University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-3321-1165</Identifier>

</Author>
<Author>
					<FirstName>S. Sajad</FirstName>
					<LastName>Papaei</LastName>
<Affiliation>MSc.in Financial Management, Alborz University, Qazvin, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of this research is to examine herding by institutional and individual investors in micro and macro level and their effects on market volatility. In micro level, we compare herding by institutional and individual investors also examines the effect of firm’s characteristics on micro herding by panel data regression. In macro level, we test the influence of market factors on herding and the effect of macro herding on market volatility through time series regression. The results indicate that there is a herding tendency among both institutional and individual investors and shiw that the propensity to herd is higher in institutional investors. Herding depends on firm’s characteristics and institutional investors are more sensitive to these variables. In macro level results show that market return affects herding by institutional investors also market return causes herding, mainly by institutional investors, in the Granger causality sense. Finally, herding by institutional investors influences market volatility.</Abstract>
			<OtherAbstract Language="FA">The purpose of this research is to examine herding by institutional and individual investors in micro and macro level and their effects on market volatility. In micro level, we compare herding by institutional and individual investors also examines the effect of firm’s characteristics on micro herding by panel data regression. In macro level, we test the influence of market factors on herding and the effect of macro herding on market volatility through time series regression. The results indicate that there is a herding tendency among both institutional and individual investors and shiw that the propensity to herd is higher in institutional investors. Herding depends on firm’s characteristics and institutional investors are more sensitive to these variables. In macro level results show that market return affects herding by institutional investors also market return causes herding, mainly by institutional investors, in the Granger causality sense. Finally, herding by institutional investors influences market volatility.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Herding</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Individual investors</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Institutional Investors</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Behavioral finance</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://amf.ui.ac.ir/article_21578_789429ea6cdd7888a48fb050a42dcb68.pdf</ArchiveCopySource>
</Article>
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