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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">RFDS</journal-id>
      <journal-title-group>
        <journal-title>Regional Formation and Development Studies</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2351-6542</issn>
      <issn pub-type="ppub">2029-9370</issn>
      <publisher>
        <publisher-name>KU</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">04_DROZDI</article-id>
      <article-id pub-id-type="doi">10.15181/rfds.v47i3.2761</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Role of Predictive Modelling in Enhancing Corporate Financial Performance</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Drozd</surname>
            <given-names>Dariia</given-names>
          </name>
          <email xlink:href="mailto:drozddariia27@gmail.com">drozddariia27@gmail.com</email>
          <xref ref-type="aff" rid="j_RFDS_aff_000"/>
        </contrib>
        <aff id="j_RFDS_aff_000">University of Latvia</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Sloka</surname>
            <given-names>Biruta</given-names>
          </name>
          <email xlink:href="mailto:Biruta.Sloka@lu.lv">Biruta.Sloka@lu.lv</email>
          <xref ref-type="aff" rid="j_RFDS_aff_001"/>
        </contrib>
        <aff id="j_RFDS_aff_001">University of Latvia</aff>
      </contrib-group>
      <volume>47</volume>
      <issue>3</issue>
      <fpage>45</fpage>
      <lpage>54</lpage>
      <pub-date pub-type="epub">
        <day>04</day>
        <month>12</month>
        <year>2025</year>
      </pub-date>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>This article investigates the impact of predictive modelling on enhancing corporate financial performance. Drawing on conceptual</p>
        <p>and theoretical analysis, the study highlights the ways in which predictive analytics enables organisations to forecast market trends,</p>
        <p>optimise resource allocation, and mitigate financial risk. The findings underscore the critical role of data-driven decision-making in</p>
        <p>improving profitability, operational efficiency and strategic planning. By integrating advanced predictive technologies, corporations</p>
        <p>are able to anticipate financial challenges and opportunities, thereby supporting more informed investment and management decisions.</p>
        <p>The study further addresses implementation challenges, and identifies best practices for the effective application of predictive</p>
        <p>models in corporate finance. The research demonstrates that predictive modelling serves as a key tool for promoting sustainable</p>
        <p>financial growth and maintaining competitive advantage in today’s dynamic business environment.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>predictive modelling</kwd>
        <kwd>corporate finance</kwd>
        <kwd>financial performance</kwd>
      </kwd-group>
      <kwd-group kwd-group-type="JEL CODES">
        <label>JEL CODES</label>
        <kwd>С5</kwd>
        <kwd>С51</kwd>
        <kwd>G3</kwd>
        <kwd>G32</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
