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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Financial Management Perspective</JournalTitle>
				<Issn>2645-4637</Issn>
				<Volume>12</Volume>
				<Issue>40</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Effects of Order Flow Imbalance on Stock Prices in Tehran Stock Exchange</ArticleTitle>
<VernacularTitle>The Effects of Order Flow Imbalance on Stock Prices in Tehran Stock Exchange</VernacularTitle>
			<FirstPage>9</FirstPage>
			<LastPage>27</LastPage>
			<ELocationID EIdType="pii">103073</ELocationID>
			
<ELocationID EIdType="doi">10.52547/jfmp.12.40.9</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Seyed Mahdi</FirstName>
					<LastName>Barakcnian</LastName>
<Affiliation>Associate Prof., Institute for Management and Planning studies, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad H.</FirstName>
					<LastName>Seyedsalehi</LastName>
<Affiliation>Ph.D. Candidate in Economics, University of Toronto, Toronto, Canada</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>09</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>We investigate the impacts of the order book events on the prices of the 30 largest stocks in the Tehran Stock Exchange in the year 2020. The purpose of this article is to measure the price sensitivity to changes in supply and demand volumes and identify the factors affecting this sensitivity. Similar to the method proposed by Cont et al. (2014), by performing about thirty thousands of OLS regressions, we show that in a low-depth market, the mid-price returns are explained significantly by the order flow imbalance that represents the net change in demand, namely the difference between the volumes of events on two sides of the order book [7]. We also show that the use of the Order Flow Imbalance in the first three levels of the order book can increase the explanatory power of the model for stock mid-price changes, indicating that higher levels of the order book also affect stock price changes significantly. Moreover, the results confirm that the market depth has a negative effect on the power of events to move the stock price. In addition, we show that our results are robust to changes in months or stocks.</Abstract>
			<OtherAbstract Language="FA">We investigate the impacts of the order book events on the prices of the 30 largest stocks in the Tehran Stock Exchange in the year 2020. The purpose of this article is to measure the price sensitivity to changes in supply and demand volumes and identify the factors affecting this sensitivity. Similar to the method proposed by Cont et al. (2014), by performing about thirty thousands of OLS regressions, we show that in a low-depth market, the mid-price returns are explained significantly by the order flow imbalance that represents the net change in demand, namely the difference between the volumes of events on two sides of the order book [7]. We also show that the use of the Order Flow Imbalance in the first three levels of the order book can increase the explanatory power of the model for stock mid-price changes, indicating that higher levels of the order book also affect stock price changes significantly. Moreover, the results confirm that the market depth has a negative effect on the power of events to move the stock price. In addition, we show that our results are robust to changes in months or stocks.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Stock market</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Order Book</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Order Flow Imbalance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Market Depth</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jfmp.sbu.ac.ir/article_103073_61031e5a0684f2badf5337c871f298cf.pdf</ArchiveCopySource>
</Article>
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