Stochastic orders and risk measures : consistency and bounds
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<subfield code="a">Stochastic orders and risk measures</subfield>
<subfield code="b">: consistency and bounds</subfield>
<subfield code="c">Nicole Baüerle and Alfred Müller</subfield>
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<subfield code="a">In this article it's investigated the problem of consistency of risk measures with respect to usual stochastic order and convex order. This result is used to derive bounds for risk measures of portfolios. As a by-product, it's extended the characterization of coherent, law-invariant risk measures with the Fatou poperty to unbounded random variables</subfield>
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<subfield code="a">Müller, Alfred</subfield>
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<subfield code="d">Oxford: Elsevier Science</subfield>
<subfield code="t">Insurance Mathematics & Economics</subfield>
<subfield code="g"> nº 38, 2006 ; p. 132-148</subfield>
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