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  <doi_batch_id>aspg-21-1468-1791472407</doi_batch_id>
  <timestamp>20261008151327</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>20</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Impact analysis of Macroeconomic Variables on Stock Market using Neutrosophic Interval Valued Dependent Matrix Model</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>G.</given_name>
      <surname>Kavitha</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Hindustan Institute of Technology &amp; Science, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Bhuvaneswari</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, D.B. Jain College, Chennai, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Macroeconomic factors in general are crucial for developing a country's economy. This analysis takes into account the chosen macroeconomic factors for the years 2015 to 2019 including inflation, interest rate, GDP, and GDP per capita. The present study considered the new method of Neutrosophic environment in terms of the Fuzzy CETD matrix to determine the impact of the stock market for a particular year. This article describes a technique for examining how macroeconomic factors affect the stock market in a specific year. The proposed method reveals that the impact of the stock market is higher in 2015 than in 2016.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>184</first_page>
     <last_page>191</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1468</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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     <doi>10.54216/IJNS.200115</doi>
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