The Automated bias-corrected and accelerated bootstrap confidence intervals for risk measures

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<dc:creator>Grün, Bettina</dc:creator>
<dc:creator>Miljkovic, Tatjana</dc:creator>
<dc:date>2023-12-04</dc:date>
<dc:description xml:lang="es">Sumario: Different approaches to determining two-sided interval estimators for risk measures such as Value-at-Risk (VaR) and conditional tail expectation (CTE) when modeling loss data exist in the actuarial literature. Two contrasting methods can be distinguished: a nonparametric one not relying on distributional assumptions or a fully parametric one relying on standard asymptotic theory to apply. We complement these approaches and take advantage of currently available computer power to propose the biascorrected and accelerated (BCA) confidence intervals for VaR and CTE.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/184643.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">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Evaluación de riesgos</dc:subject>
<dc:subject xml:lang="es">Modelos paramétricos</dc:subject>
<dc:subject xml:lang="es">Siniestros</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">The Automated bias-corrected and accelerated bootstrap confidence intervals for risk measures</dc:title>
<dc:relation xml:lang="es">En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 04/12/2023 Tomo 27 Número 4 - 2023 , p. 731-750</dc:relation>
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