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

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      <subfield code="a">Tang, Qihe</subfield>
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      <subfield code="a">Extreme value analysis of the Haezendonck-Goovaerts risk measure with a general Young function</subfield>
      <subfield code="c">Qihe Tang, Fan Yang</subfield>
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      <subfield code="a">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.</subfield>
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      <subfield code="t">Insurance : mathematics and economics</subfield>
      <subfield code="d">Oxford : Elsevier, 1990-</subfield>
      <subfield code="x">0167-6687</subfield>
      <subfield code="g">03/11/2014 Volumen 59 Número 1 - noviembre 2014 </subfield>
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