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   <front>
      <journal-meta>
         <journal-id journal-id-type="publisher-id">eda</journal-id>
         <journal-title-group>
            <journal-title>Estudios de Administración</journal-title>
            <abbrev-journal-title abbrev-type="publisher">Estud. adm. (En línea)</abbrev-journal-title>
         </journal-title-group>
         <issn pub-type="epub">0717-0653</issn>
         <issn pub-type="ppub">0719-0816</issn>
         <publisher>
            <publisher-name>Universidad de Chile. Facultad de Economía y Negocios. Departamento de Administración</publisher-name>
         </publisher>
      </journal-meta>
      <article-meta>
         <article-id pub-id-type="doi">10.5354/0719-0816.2019.56951</article-id>
         <article-categories>
            <subj-group subj-group-type="heading">
               <subject>Artículos</subject>
            </subj-group>
         </article-categories>
         <title-group>
            <article-title>Predicción de fracasos financieros con opciones reales barrera: Un estudio para el mercado argentino.</article-title>
            <trans-title-group xml:lang="en">
               <trans-title>Financial distress prediction with knock out real options: a study for the argentine market</trans-title>
            </trans-title-group>
         </title-group>
         <contrib-group>
            <contrib contrib-type="author">
               <name>
                  <surname>Milanesi</surname>
                  <given-names>Gastón Silverio</given-names>
               </name>
               <xref ref-type="aff" rid="aff1">
                  <sup>1</sup>
               </xref>
            </contrib>
         </contrib-group>
         <aff id="aff1">
            <label>1</label>
            <institution content-type="original">Departamento Ciencias de la Administración, Universidad Nacional del Sur</institution>
            <institution content-type="normalized">Universidad Nacional del Sur</institution>
            <institution content-type="orgname">Universidad Nacional del Sur</institution>
            <country country="AR">Argentina</country>
            <email>milanesi@uns.edu.ar</email>
         </aff>
         <pub-date pub-type="epub">
            <season>July-Dec</season>
            <year>2019</year>
         </pub-date>
         <volume>26</volume>
         <issue>2</issue>
         <fpage>52</fpage>
         <lpage>81</lpage>
         <history>
            <date date-type="received">
               <day>08</day>
               <month>07</month>
               <year>2019</year>
            </date>
            <date date-type="accepted">
               <day>26</day>
               <month>02</month>
               <year>2020</year>
            </date>
         </history>
         <permissions>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/" xml:lang="en">
               <license-p>Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons</license-p>
            </license>
         </permissions>
         <abstract>
            <title>Resumen:</title>
            <p>El trabajo explora los modelos para la predicción de default basados en la teoría de opciones reales, proponiendo un modelo simple utilizando opciones exóticas barrera.
            Los modelos de predicción de fracasos financieros consideran el valor del patrimonio como una opción de compra sobre los activos de la empresa. Su principal debilidad reside en la relación directa entre que existe entre volatilidad del activo y valor de la opción. Las opciones barreras del tipo knock out ajustan inversamente la relación entre volatilidad y valor del patrimonio para determinados niveles críticos del activo. En esa línea, se propone una versión “naive” de modelo de opciones barrera para predecir default y calcular el valor esperado de quiebra de la empresa, sector y mercado. Primero se empleó el método de casos para realizar un estudio comparativo entre el modelo “naive” tradicional y las opciones barrera “naive”. Se aplicó el análisis de sensibilidad sobre variables como volatilidad, endeudamiento y horizonte de tiempo y se implementó sobre una muestra representativa de empresas del mercado argentino. Los resultados obtenidos indican el mejor desempeño del modelo de opciones barreras. Con aumentos de volatilidad el valor del capital tiende a disminuir, y presentó correlación directa entre volatilidad y probabilidad de default. El modelo es una herramienta útil para predecir probabilidades y valores de default de empresas en un nivel individual o agregado.</p>
         </abstract>
         <trans-abstract xml:lang="en">
            <title>Abstract:</title>
            <p>This paper explores default prediction models based on real options theory, proposing a simple model using exotic barrier options. Financial distress prediction models consider the value of net capital as if it were a call option over the firm’s assets. Its main weakness resides in the direct relationship between an asset’s volatility and its option value.
            For certain critical levels of assets, the knock-out barrier option type inversely adjusts the relationship between volatility and net capital value. Along this line, a naive version of barrier models is proposed for predicting financial distress and calculating default values for firms, sector and the market. First, a case method is employed to make a comparative analysis between the traditional naive model and the naive barrier options. The sensitivity analysis is applied over variables such as volatility, leverage and time horizon, and is implemented over a representative sample of Argentinian market firms. The results obtained indicated that the barrier option model developed better. With increased volatility, net capital value tended to decline, and showed direct correlation between volatility and default probabilities. The model is a useful tool to predict firms’ probabilities and risk of default, at the individual or aggregated level.</p>
         </trans-abstract>
         <kwd-group xml:lang="es">
            <title>Palabras clave:</title>
            <kwd>Opciones reales</kwd>
            <kwd>Barreras</kwd>
            <kwd>Default</kwd>
            <kwd>Valor esperado de Default</kwd>
         </kwd-group>
         <kwd-group xml:lang="en">
            <title>Keywords:</title>
            <kwd>Real options</kwd>
            <kwd>Barriers</kwd>
            <kwd>Default</kwd>
            <kwd>Default expected value</kwd>
         </kwd-group>
         <counts>
            <fig-count count="0" />
            <table-count count="0" />
            <equation-count count="0" />
            <ref-count count="39" />
            <page-count count="30" />
         </counts>
      </article-meta>
   </front>
   <body>
      <p>Full text available only in PDF format.</p>
      <p>Texto completo disponible sólo en PDF.</p>
   </body>
   <back>
      <ack>
         <title>Declaración de conflicto de interés</title>
         <p>Los autores del presente manuscrito manifiestan que no existen conflictos de interés con ninguna entidad o institución, ni de carácter personal en esta publicación.</p>
      </ack>
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