Multivariate tail estimation with application to analysis of covar

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      <subfield code="a">Nguyen, Tilo</subfield>
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      <subfield code="a">Multivariate tail estimation with application to analysis of covar</subfield>
      <subfield code="c">Tilo Nguyen, Gennady Samorodnitsky</subfield>
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      <subfield code="a">The quality of estimation of multivariate tails depends significantly on the portion of the sample included in the estimation. A simple approach involving sequential statistical testing is proposed in order to select which observations should be used for estimation of the tail and spectral measures. We prove that the estimator is consistent. We test the proposed method on simulated data, and subsequently apply it to analyze CoVaR for stock and index returns.</subfield>
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      <subfield code="d">Belgium : ASTIN and AFIR Sections of the International Actuarial Association</subfield>
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      <subfield code="g">08/07/2013 Volumen 43 Número 2 - julio 2013 </subfield>
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