<?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>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462019000200279</article-id>
<article-id pub-id-type="doi">10.21919/remef.v14i2.310</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis comparativo de las metodologías de estimación semiparamétricas y vía cópulas del Valor en Riesgo (VaR) en el mercado accionario colombiano]]></article-title>
<article-title xml:lang="en"><![CDATA[Comparative Analysis of the Semi-parametric Estimation Methodologies and Copula Estimation in Value at Risk (VaR) in the Colombian Stock Market]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alba Suárez]]></surname>
<given-names><![CDATA[Miguel Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pineda-Ríos]]></surname>
<given-names><![CDATA[Wilmer]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Deaza Chaves]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Santo Tomás  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>14</volume>
<numero>2</numero>
<fpage>279</fpage>
<lpage>307</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462019000200279&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462019000200279&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462019000200279&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este articulo de investigación ilustra distintos tipos de metodologías estadísticas con el objetivo de realizar una estimación adecuada para el valor en riesgo (VaR), implementando el uso de metodos semiparamétricos y una clase flexible de cópulas nombradas como (VineCopulas) encontrando que en las tecnicas de estimación al incluir el manejo de los patrones complejos de dependencia no lineal en el modelado de los activos financieros, se logra explicar la volatilidad y los movimientos dinámicos del mercado. La flexibilidad de los modelos presentados con el uso de Cópulas y metodologías semiparamétricas como la quasiverosimilitud (QMLE) y teoría de valor extremo (EVT) permitió la adecuada estimación del VaR en el mercado de renta variable Colombiano.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This research article illustrates different types of statistical methodologies with the objective of making an adequate estimate for value at risk (VaR), implementing the use of semi-parametric methods and a flexible class of copulas named VineCopulas. It was found that it is possible to explain volatility and dynamic market movements in estimation techniques by including the management of complex patterns of non-linear dependence in the modeling of financial assets. The flexibility of the models presented with the use of copulas and semi-parametric methodologies, such as quasi-maximum likelihood estimate (QMLE) and extreme value theory (EVT), allowed the adequate estimation of VaR in the Colombian equity market.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Mercado accionario]]></kwd>
<kwd lng="es"><![CDATA[EVT]]></kwd>
<kwd lng="es"><![CDATA[QMLE]]></kwd>
<kwd lng="es"><![CDATA[Semiparamétrico Valor en Riesgo]]></kwd>
<kwd lng="es"><![CDATA[Vine Cópulas]]></kwd>
<kwd lng="es"><![CDATA[C02]]></kwd>
<kwd lng="es"><![CDATA[C06]]></kwd>
<kwd lng="es"><![CDATA[C11]]></kwd>
<kwd lng="es"><![CDATA[C14]]></kwd>
<kwd lng="es"><![CDATA[G32]]></kwd>
<kwd lng="en"><![CDATA[Equity Market]]></kwd>
<kwd lng="en"><![CDATA[EVT]]></kwd>
<kwd lng="en"><![CDATA[QMLE]]></kwd>
<kwd lng="en"><![CDATA[Semi-parametric Value at Risk]]></kwd>
<kwd lng="en"><![CDATA[VineCopulas]]></kwd>
<kwd lng="en"><![CDATA[C02]]></kwd>
<kwd lng="en"><![CDATA[C06]]></kwd>
<kwd lng="en"><![CDATA[C11]]></kwd>
<kwd lng="en"><![CDATA[C14]]></kwd>
<kwd lng="en"><![CDATA[G32]]></kwd>
</kwd-group>
</article-meta>
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