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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">jssi</journal-id>
      <journal-title-group>
        <journal-title>Journal of Security and Sustainability Issues</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2029-7017</issn>
      <issn pub-type="ppub">2029-7017</issn>
      <publisher>
        <publisher-name>LKA</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JSSI9432</article-id>
      <article-id pub-id-type="doi">10.9770/jssi.2020.9.4(32)</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Diagnostics of Corporate Fraud and Counteraction Measures</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Poquioma Tulumba</surname>
            <given-names>Miguel Аngel</given-names>
          </name>
          <xref ref-type="aff" rid="j_jssi_aff_000"/>
        </contrib>
        <aff id="j_jssi_aff_000">CIBERTEC Institute, Av. Carlos Izaguirre 233, Independencia 15311, Lima, Peru</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Kashirskaya</surname>
            <given-names>Liudmila</given-names>
          </name>
          <email xlink:href="mailto:kashirskaya76@mail.ru">kashirskaya76@mail.ru</email>
          <xref ref-type="aff" rid="j_jssi_aff_001"/>
          <xref ref-type="corresp" rid="cor2">∗∗</xref>
        </contrib>
        <aff id="j_jssi_aff_001">Financial University under the Government of the Russian Federation, Moscow, Russian Federation, Leningradsky Prospekt, 49, 125993, Moscow, Russian Federation</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Karabasheva</surname>
            <given-names>Malvina</given-names>
          </name>
          <xref ref-type="aff" rid="j_jssi_aff_002"/>
        </contrib>
        <aff id="j_jssi_aff_002">Financial University under the Government of the Russian Federation, Moscow, Russian Federation, Leningradsky Prospekt, 49, 125993, Moscow, Russian Federation</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Khoruzhy</surname>
            <given-names>Liudmila</given-names>
          </name>
          <xref ref-type="aff" rid="j_jssi_aff_003"/>
        </contrib>
        <aff id="j_jssi_aff_003">Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Timiryazevskaya street, 49, 127550, Moscow, Russian Federation</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Marmilova</surname>
            <given-names>Ekaterina</given-names>
          </name>
          <xref ref-type="aff" rid="j_jssi_aff_004"/>
        </contrib>
        <aff id="j_jssi_aff_004">Actuaria &amp; Finanzas Consulting, Mexico City, Mexico, Col. Napoles, Alcaldia Benito Juarez, Av. Del Parque 42, 03810Mexico City, Mexico</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Perepechkina</surname>
            <given-names>Elena</given-names>
          </name>
          <xref ref-type="aff" rid="j_jssi_aff_005"/>
        </contrib>
        <aff id="j_jssi_aff_005">Astrakhan State University, Tatischeva, 20A, 414056, Astrakhan, Russian Federation</aff>
      </contrib-group>
      <author-notes>
        <corresp id="cor2"><label>∗∗</label>Corresponding author.</corresp>
      </author-notes>
      <volume>9</volume>
      <issue>4</issue>
      <fpage>1511</fpage>
      <lpage>1522</lpage>
      <pub-date pub-type="ppub">
        <day>30</day>
        <month>06</month>
        <year>2020</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>06</month>
        <year>2020</year>
      </pub-date>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>The article is devoted to the problems of identifying, improving areas of prevention and combating corporate fraud. The article explores the dynamics of corporate fraud, and analyzes their classification. The article provides an analysis of the stages of development of international legal regulation of the specified subject area, which allowed to determine the composition and structure of information subject of economic control. In addition, the main methods of corporate fraud are identified. The research methodology was based on the main regulatory legal framework controlling the specified subject area. Based on the results of the study, a refined procedure for detecting fraud and distortion was developed and a model for detecting fraud was developed. A study conducted by the authors revealed that only the regulator and then the law enforcement agencies can give an unambiguous interpretation of actions on fraud and falsification of data in the financial statements of financial sector organizations. But at the same time, the presence of “stop factors” in the organization’s work, signaling signs of fraud and falsification of data in the financial statements, allows to quickly pause the production and business activities of investors and counterparties with this financial institution and avoid larger losses. It is concluded that in the current system of economic control, a number of areas that need significant changes are clearly distinguished.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>control</kwd>
        <kwd>economic crime</kwd>
        <kwd>corporate fraud</kwd>
        <kwd>red flags</kwd>
        <kwd>financial investigations</kwd>
        <kwd>fraud triangle</kwd>
        <kwd>forensic</kwd>
      </kwd-group>
      <kwd-group kwd-group-type="JEL">
        <label>JEL</label>
        <kwd>M41</kwd>
        <kwd>M42</kwd>
        <kwd>G22</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
