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<Article>
<Journal>
				<PublisherName>Shahid Beheshti University</PublisherName>
				<JournalTitle>Financial Management Perspective</JournalTitle>
				<Issn>2645-4637</Issn>
				<Volume>13</Volume>
				<Issue>44</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>02</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Day Features and Stock Market Performance</ArticleTitle>
<VernacularTitle>Day Features and Stock Market Performance</VernacularTitle>
			<FirstPage>33</FirstPage>
			<LastPage>58</LastPage>
			<ELocationID EIdType="pii">104307</ELocationID>
			
<ELocationID EIdType="doi">10.48308/jfmp.2024.104307</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Neda</FirstName>
					<LastName>Kuhestani</LastName>
<Affiliation>Ph.D. student of Accounting, Babol branch, Islamic Azad University, Babol, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Iman</FirstName>
					<LastName>Dadashi</LastName>
<Affiliation>Assistant prof., Department of Accounting, University of Qom, Qom, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4896-0097</Identifier>

</Author>
<Author>
					<FirstName>Hamidreza</FirstName>
					<LastName>Gholamnia Roshan</LastName>
<Affiliation>Assistant prof., Department of Accounting, Babol branch, Islamic Azad University, Babol , Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Kaveh</FirstName>
					<LastName>Azinfar</LastName>
<Affiliation>Assistant prof., Department of Accounting, Babol branch, Islamic Azad University, Babol , Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>08</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this research, the effect of day characteristics as one of the most important environmental factors influencing the decision-making process has been investigated. Daily observations of 2011 to 2020 and ARDL regression were used. After performing statistical pre-tests, including mean, collinearity, autocorrelation, and non-homogeneity of variance. The results showed that variables such as wind speed, gold with a lag, daylight savings, January effect, and the calendar effect of holidays have a positive and significant effect on stock market returns. However, the gold variable has a negative effect on it. Additionally, Variables like gold with a lag, humidity, and wind speed have a positive effect on the volume of transactions. On the other hand, variables such as weather with a lag, horizon level, exchanges rate, gold with a lag, daylight, and Saturday effect have a negative effect on the volume of transactions.  Furthermore, the variables of temperature, humidity with one lag, Daylight with one lag, gold, and the calendar effect of holidays have a positive effect on the number of transactions. Conversely, variables like wind speed, weather with one lag, daylight, currency growth rate, horizon level, and the effect of Saturday have a negative effect on the number of transactions.</Abstract>
			<OtherAbstract Language="FA">In this research, the effect of day characteristics as one of the most important environmental factors influencing the decision-making process has been investigated. Daily observations of 2011 to 2020 and ARDL regression were used. After performing statistical pre-tests, including mean, collinearity, autocorrelation, and non-homogeneity of variance. The results showed that variables such as wind speed, gold with a lag, daylight savings, January effect, and the calendar effect of holidays have a positive and significant effect on stock market returns. However, the gold variable has a negative effect on it. Additionally, Variables like gold with a lag, humidity, and wind speed have a positive effect on the volume of transactions. On the other hand, variables such as weather with a lag, horizon level, exchanges rate, gold with a lag, daylight, and Saturday effect have a negative effect on the volume of transactions.  Furthermore, the variables of temperature, humidity with one lag, Daylight with one lag, gold, and the calendar effect of holidays have a positive effect on the number of transactions. Conversely, variables like wind speed, weather with one lag, daylight, currency growth rate, horizon level, and the effect of Saturday have a negative effect on the number of transactions.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Behavioral Finance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Day characteristics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Weather</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stock market performance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ARDL</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jfmp.sbu.ac.ir/article_104307_8d870db2894ccea8297c998249fe8b91.pdf</ArchiveCopySource>
</Article>
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