Extreme value analysis of the Haezendonck-Goovaerts risk measure with a general Young function

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<dc:creator>Tang, Qihe</dc:creator>
<dc:date>2014-11-03</dc:date>
<dc:description xml:lang="es">Sumario: For a risk variable X and a normalized Young function f(·), the HaezendonckGoovaerts risk measure for X at level q?(0,1) is defined as Hq[X]=infx?R(x+h), where h solves the equation View the MathML source if Pr(X>x)>0 or is 0 otherwise. In a recent work, we implemented an asymptotic analysis for Hq[X] with a power Young function for the Fréchet, Weibull and Gumbel cases separately. A key point of the implementation was that h can be explicitly solved for fixed x and q, which gave rise to the possibility to express Hq[X] in terms of x and q. For a general Young function, however, this does not work anymore and the problem becomes a lot harder. In the present paper, we extend the asymptotic analysis for Hq[X] to the case with a general Young function and we establish a unified approach for the three extreme value cases. In doing so, we overcome several technical difficulties mainly due to the intricate relationship between the working variables x, h and q.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/150801.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Extreme value analysis of the Haezendonck-Goovaerts risk measure with a general Young function</dc:title>
<dc:relation xml:lang="es">En: Insurance : mathematics and economics. - Oxford : Elsevier, 1990- = ISSN 0167-6687. - 03/11/2014 Volumen 59 Número 1 - noviembre 2014 </dc:relation>
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