<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0186-1042</journal-id>
<journal-title><![CDATA[Contaduría y administración]]></journal-title>
<abbrev-journal-title><![CDATA[Contad. Adm]]></abbrev-journal-title>
<issn>0186-1042</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0186-10422018000100008</article-id>
<article-id pub-id-type="doi">10.22201/fca.24488410e.2018.1148</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Árboles de clasificación como herramienta para predecir dificultades financieras en empresas Latinoamericanas a través de sus razones contables]]></article-title>
<article-title xml:lang="en"><![CDATA[Classification trees as a tool to predict financial difficulties in Latin American companies through their accounting ratios]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Caro]]></surname>
<given-names><![CDATA[Norma Patricia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guardiola]]></surname>
<given-names><![CDATA[Mariana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ortiz]]></surname>
<given-names><![CDATA[Pablo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Córdoba  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2018</year>
</pub-date>
<volume>63</volume>
<numero>1</numero>
<fpage>0</fpage>
<lpage>0</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0186-10422018000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0186-10422018000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0186-10422018000100008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El análisis de la información contable de las empresas resulta relevante para la detección de situaciones de vulnerabilidad financiera. Si bien esta información suele estar disponible para aquellas empresas que cotizan en diferentes mercados bursátiles, generalmente no se cuenta con una caracterización explícita referida a su situación financiera (i.e. en crisis o sanas). En este contexto, el objetivo de este trabajo es analizar la incidencia de determinadas razones contables sobre la situación financiera de empresas de distintos mercados latinoamericanos: Chile, Perú y Argentina, en base a los estados contables correspondientes al período 2001-2011. A fin de detectar que las razones contables influyen primordialmente en las empresas en crisis, se aplicaron métodos recursivos: Árboles de Clasificación. De esta manera, se propicia contar con herramientas que permitan predecir el estado financiero de las empresas. En todos los mercados la rentabilidad resultó determinante con una fuerte incidencia en la clasificación de las empresas. Posteriormente, a efectos de analizar el impacto de otras razones, se la excluyó siendo las variables de mayor impacto disímiles entre los países. En el caso de Argentina, el tamaño de la empresa, el capital de trabajo y la rotación del activo resultaron las variables predictoras más importantes; en el caso de Chile fue el flujo de fondos operativos; y en el de Perú, la liquidez seguida por la rotación del activo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The analysis of the accounting information of companies is relevant to detect situations of financial vulnerability. Although this information is usually available to those companies that trade in different stock markets, there is generally no explicit characterization that refers to its financial situation (i.e., in crisis or healthy). In this context, the objective of this work is to analyze the incidence of certain accounting ratios on the financial situation of companies from different Latin American markets: Chile, Peru and Argentina, based on the accounting statements that correspond to the 2001-2011 period. To detect the main accounting ratios that influence companies in crisis, recursive methods were applied: Classification Trees. In this manner, the aim is to have tools that allow predicting the financial status of companies. Profitability proved to be a determining factor in all markets, with a strong incidence in the classification of companies. It was subsequently excluded (to analyze the impact of other ratios) due to the fact that the variables with the biggest impact were different between countries. In the case of Argentina, the size of the company, the working capital, and the asset turnover were the most important predicting variables; in the case of Chile it was the flow of operating funds; and in the case of Peru it was liquidity, followed by asset turnover.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[árboles de clasificación]]></kwd>
<kwd lng="es"><![CDATA[razones contables]]></kwd>
<kwd lng="es"><![CDATA[crisis financiera]]></kwd>
<kwd lng="es"><![CDATA[empresas latinoamericanas]]></kwd>
<kwd lng="es"><![CDATA[G32]]></kwd>
<kwd lng="es"><![CDATA[G33]]></kwd>
<kwd lng="es"><![CDATA[C38]]></kwd>
<kwd lng="en"><![CDATA[classification trees]]></kwd>
<kwd lng="en"><![CDATA[accounting ratios]]></kwd>
<kwd lng="en"><![CDATA[financial crisis]]></kwd>
<kwd lng="en"><![CDATA[Latin American companies]]></kwd>
<kwd lng="en"><![CDATA[G32]]></kwd>
<kwd lng="en"><![CDATA[G33]]></kwd>
<kwd lng="en"><![CDATA[C38]]></kwd>
</kwd-group>
</article-meta>
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