<?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>0120-1751</journal-id>
<journal-title><![CDATA[Revista Colombiana de Estadística]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.Colomb.Estad.]]></abbrev-journal-title>
<issn>0120-1751</issn>
<publisher>
<publisher-name><![CDATA[Departamento de Estadística - Universidad Nacional de Colombia.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-17512007000100007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de supervivencia aplicado a la banca comercial venezolana, 1996 – 2004]]></article-title>
<article-title xml:lang="en"><![CDATA[Survival Analysis Applied to Commercial Bank in Venezuela between 1996 and 2004]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[AYALA]]></surname>
<given-names><![CDATA[MARÍA ALEJANDRA]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[COLMENARES]]></surname>
<given-names><![CDATA[GERARDO]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[BORGES]]></surname>
<given-names><![CDATA[RAFAEL EDUARDO]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad de Los Andes Facultad de Ciencias Económicas y Sociales Escuela de Estadística]]></institution>
<addr-line><![CDATA[Mérida ]]></addr-line>
<country>Venezuela</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidad de Los Andes Facultad de Ciencias Económicas y Sociales Instituto de Investigaciones Económicas y Sociales]]></institution>
<addr-line><![CDATA[Mérida ]]></addr-line>
<country>Venezuela</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidad de Los Andes Facultad de Ciencias Económicas y Sociales Instituto de Investigaciones Económicas y Sociales]]></institution>
<addr-line><![CDATA[Mérida ]]></addr-line>
<country>Venezuela</country>
</aff>
<pub-date pub-type="pub">
<day>15</day>
<month>06</month>
<year>2007</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2007</year>
</pub-date>
<volume>30</volume>
<numero>1</numero>
<fpage>97</fpage>
<lpage>113</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512007000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512007000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512007000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se utiliza el análisis de supervivencia como técnica estadística para investigar cuándo es probable que una entidad financiera cambie de estado. La variable aleatoria de interés es el lapso de tiempo que tarda la entidad en cambiar de estado. Específicamente, interesa el tiempo en ocurrir el cambio de estado y cuáles son las variables que más influyen en el cumplimiento del cambio de estado. Se lleva a cabo un análisis de supervivencia clásico, una estimación por el método de Kaplan y Meier y un ajuste a través del modelo de Cox, utilizando los datos de la banca comercial venezolana entre 1996 y 2004. La fusión bancaria es el evento de interés para el cambio de estado. Se logra identificar cuatro razones de riesgo que son consistentes con la revisión teórica de los modelos de alerta temprana.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this work, survival analysis is used as a statistical technique to find out when any bank probably changes of state. The random variable to study is the observed time period of the lifetime where there is a change of state. Special interest is focused in knowing the occurrence of changes of states, and in identifying the variables that could affect the changes of states. This work deals with a classical survival analysis by the Kaplan-Meier estimation and the fitting of the Cox model, using commercial Venezuelan banks during the 1996-2004 period. Merge banking occurrence is the main event to identify a change of state. This work allowed identifying four financial indicators that kept similar correspondence with those obtained from other early warning models.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[estimador Kaplan-Meier]]></kwd>
<kwd lng="es"><![CDATA[modelo de Cox]]></kwd>
<kwd lng="es"><![CDATA[crisis financiera]]></kwd>
<kwd lng="es"><![CDATA[banca]]></kwd>
<kwd lng="en"><![CDATA[Kaplan-Meier estimator]]></kwd>
<kwd lng="en"><![CDATA[Cox model]]></kwd>
<kwd lng="en"><![CDATA[Financial crisis]]></kwd>
<kwd lng="en"><![CDATA[Banking]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[   <font face="verdana" size="2">      <p><b><font size="4">    <center>An&aacute;lisis de supervivencia aplicado a la banca comercial venezolana, 1996 – 2004</center></font> </b></p>      <p><b><font size="3">    <center>Survival Analysis Applied to Commercial Bank in Venezuela between 1996 and 2004</center></font> </b></p>      <p>    <center>MAR&Iacute;A ALEJANDRA AYALA<sup>1</sup>, GERARDO COLMENARES<sup>2</sup>, RAFAEL EDUARDO BORGES<sup>3</sup></center></p>  <sup>1</sup>Escuela de Estad&iacute;stica, Facultad de Ciencias Econ&oacute;micas y Sociales, Universidad de Los Andes, M&eacute;rida, Venezuela. Instructora. E-mail: <a href="mailto:marialej@ula.ve">marialej@ula.ve</a>    <br>  <sup>2</sup>Instituto de Investigaciones Econ&oacute;micas y Sociales, Facultad de Ciencias Econ&oacute;micas y Sociales, Universidad de Los Andes, M&eacute;rida, Venezuela. Profesor agregado. E-mail: <a href="mailto:borgesr@ula.ve">borgesr@ula.ve</a>    <br>  <sup>3</sup>Instituto de Investigaciones Econ&oacute;micas y Sociales, Facultad de Ciencias Econ&oacute;micas y Sociales, Universidad de Los Andes, M&eacute;rida, Venezuela. Profesor titular. E-mail: <a href="mailto:gcolmen@ula.ve">gcolmen@ula.ve</a>    <br>  <hr size=1>      ]]></body>
<body><![CDATA[<p><b>    <center>Resumen</center></b></p>      <p> Se utiliza el an&aacute;lisis de supervivencia como t&eacute;cnica estad&iacute;stica para investigar cu&aacute;ndo es probable que una entidad financiera cambie de estado. La variable aleatoria de inter&eacute;s es el lapso de tiempo que tarda la entidad en cambiar de estado. Espec&iacute;ficamente, interesa el tiempo en ocurrir el cambio de estado y cu&aacute;les son las variables que m&aacute;s influyen en el cumplimiento del cambio de estado. Se lleva a cabo un an&aacute;lisis de supervivencia cl&aacute;sico, una estimaci&oacute;n por el m&eacute;todo de Kaplan y Meier y un ajuste a trav&eacute;s del modelo de Cox, utilizando los datos de la banca comercial venezolana entre 1996 y 2004. La fusi&oacute;n bancaria es el evento de inter&eacute;s para el cambio de estado. Se logra identificar cuatro razones de riesgo que son consistentes con la revisi&oacute;n te&oacute;rica de los modelos de alerta temprana. </p>      <p><b>Palabras clave:</b> estimador Kaplan-Meier, modelo de Cox, crisis financiera, banca.</p>  <hr size=1>      <p><b>    <center>Abstract</center></b></p>      <p> In this work, survival analysis is used as a statistical technique to find out when any bank probably changes of state. The random variable to study is the observed time period of the lifetime where there is a change of state. Special interest is focused in knowing the occurrence of changes of states, and in identifying the variables that could affect the changes of states. This work deals with a classical survival analysis by the Kaplan-Meier estimation and the fitting of the Cox model, using commercial Venezuelan banks during the 1996-2004 period. Merge banking occurrence is the main event to identify a change of state. This work allowed identifying four financial indicators that kept similar correspondence with those obtained from other <i>early warning models</i>. </p>      <p><b>Key words:</b> Kaplan-Meier estimator, Cox model, Financial crisis, Banking.</p>  <hr size=1>      <p>Texto completo disponible en <a href="pdf/rce/v30n1/v30n1a07.pdf">PDF</a></p>  <hr size=1>      <p><b><font size="3">Referencias</font></b></p>      ]]></body>
<body><![CDATA[<!-- ref --><p>1. Anastasi, A., Burdiso, T., Grubisic, E. & Lencion&iacute;, S. (1998), ¿Es posible anticipar problemas en una entidad financiera? Argentina 1994-1997, Technical Report 7, Asociaci&oacute;n Argentina de Econom&iacute;a Pol&iacute;tica; Universidad Nacional de Mendoza. Facultad de Ciencias Econ&oacute;micas, Jur&iacute;dicas y Sociales, Reuni&oacute;n Anual, 33, Mendoza, AAEP.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000023&pid=S0120-1751200700010000700001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>2. Andersen, P. K., Borgan, O., Gill, R. & Keiding, N. 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