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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Rea Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>Rea Press</journal-title><issn pub-type="ppub">3042-0210</issn><issn pub-type="epub">3042-0210</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi"> https://doi.org/10.22105/aaa.vi.76</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Data envelopment analysis, Principal component analysis, Stock market, Bankruptcy</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Forecasting the Financial Bankruptcy of Iranian Listed Companies Using a Hybrid DEA–PCA Approach</article-title><subtitle>Forecasting the Financial Bankruptcy of Iranian Listed Companies Using a Hybrid DEA–PCA Approach</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Shahriari</surname>
		<given-names>Mohammad Reza </given-names>
	</name>
	<aff>Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Zare-Talab</surname>
		<given-names>Arash </given-names>
	</name>
	<aff>Department of Industries, Faculty of Industrial Engineering and Systems Management, Amirkabir University of Technology, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Mahmoudiar</surname>
		<given-names>Mohammad Ali </given-names>
	</name>
	<aff>Department of Industries, Faculty of Industrial Engineering, Khajeh Nasiruddin Toosi University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Sajjadi Jagharq</surname>
		<given-names>Seyyed Abdullah </given-names>
	</name>
	<aff>Department of Economics, Science and Research Branch, Faculty of Economics and Management, Islamic Azad University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>24</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2025 Rea Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Forecasting the Financial Bankruptcy of Iranian Listed Companies Using a Hybrid DEA–PCA Approach</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The topic of predicting company bankruptcy has attracted significant interest among financial researchers and experts. Due to the considerable impact of financial distress on companies' stakeholders, the development of accurate methods and models for forecasting bankruptcy and financial failure remains a key area of financial research. Investors consistently expect their capital to be secure and to receive returns that reflect the risks undertaken. Furthermore, the capacity to predict financial crises in companies in a timely manner in order to prevent capital loss is of critical importance. To address this need, researchers have conducted extensive studies employing various models and methods to evaluate corporate financial performance and forecast bankruptcy. However, it is essential to note that no single method is sufficient on its own; the best outcomes are achieved by combining multiple approaches with expert professional judgement. One technique that has gained increased attention in recent years for f
		</p>
		</abstract>
    </article-meta>
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