<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Financial Engineering Association(IFEA)</PublisherName>
				<JournalTitle>International Journal of Finance &amp; Managerial Accounting</JournalTitle>
				<Issn>2588-4379</Issn>
				<Volume>8</Volume>
				<Issue>29</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluation of Parallel Market&#039;s Long-term Memory Based on DFA and ARDL-Based Detrending (case study: Stock Market and Exchange Rate)</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>173</FirstPage>
			<LastPage>183</LastPage>
			<ELocationID EIdType="pii">21136</ELocationID>
			
<ELocationID EIdType="doi">10.30495/ijfma.2023.21136</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Arash</FirstName>
					<LastName>Azariyoon</LastName>
<Affiliation>Ph.D. student of industrial management, Roodehen branch, Islamic azad university, Roodehen, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Narges</FirstName>
					<LastName>Yazdanian</LastName>
<Affiliation>Assistant professor of accounting, Accounting department, Roodehen branch, Islamic azad university, Roodehen, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Mirarab</LastName>
<Affiliation>Assistant professor of accounting, Accounting department, Roodehen branch, Islamic azad university, Roodehen, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hoda</FirstName>
					<LastName>Hemmati</LastName>
<Affiliation>Assistant professor of accounting, Accounting department, Roodehen branch, Islamic azad university, Roodehen, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>08</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>In this study, the relationship between stock market long-term memory and exchange rate was studied. For this purpose, the analysis of detrended fluctuations was used and in order to detrend the data, two common detrending methods and cross-detrending were used. The research data included daily information of the stock market index and the dollar exchange rate during the period 2014/03/25 to 2021/02/07 and the data analysis was performed using the regression models. The results showed that the cross-trending of parallel markets produces different results in estimating the long-term memory of the data. According to the research findings, the stock index has a short-term memory under the conventional detrending method, while the cross-detrending method shows long-term memory for this index. The results for the exchange rate showed that under the conventional detrending method, the long-term memory of the exchange rate cannot be estimated in all market volatilities situations, while the cross-detrending method showed that the exchange rate loses its long-term memory in the face of increasing market fluctuations. The results also showed that under the cross-trending method, there is a direct and significant relationship between the long-term memory of the stock market index and the exchange rate.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Detrended fluctuations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">parallel markets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cross detrending</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">long-term memory</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijfma.ir/article_21136_e6bfd869a81f98ce424bfff9642fbe39.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
