Copula based hierarchical risk aggregation through sample reordering

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<rdf:Description>
<dc:creator>Arbenz, P.</dc:creator>
<dc:creator>Hummel, Christoph</dc:creator>
<dc:creator>Mainik, Georg</dc:creator>
<dc:date>2012-07-02</dc:date>
<dc:description xml:lang="es">Sumario: For high-dimensional risk aggregation purposes, most popular copula classes are too restrictive in terms of attainable dependence structures. These limitations aggravate with increasing dimension. We study a hierarchical risk aggregation method which is flexible in high dimensions. With this method it suffices to specify a low dimensional copula for each aggregation step in the hierarchy. Copulas and margins of arbitrary kind can be combined. We give an algorithm for numerical approximation which introduces dependence between originally independent marginal samples through reordering.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/138502.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Riesgos</dc:subject>
<dc:subject xml:lang="es">Matemática del seguro</dc:subject>
<dc:subject xml:lang="es">Modelización mediante cópulas</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Copula based hierarchical risk aggregation through sample reordering</dc:title>
<dc:relation xml:lang="es">En: Insurance : mathematics and economics. - Oxford : Elsevier, 1990- = ISSN 0167-6687. - 02/07/2012 Volumen 51 Número 1  - julio 2012 , p. 122-133</dc:relation>
</rdf:Description>
</rdf:RDF>