期刊
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
卷 29, 期 3, 页码 309-327出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0269964815000017
关键词
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资金
- China Postdoctoral Science Foundation [2012M521223]
- NNSF of China [11301500, 11371340, 71121061, 71090401]
- Fundamental Research Funds for the Central Universities
- Endowed Fund of the Patrick S C Poon Professorship in Statistics
- Actuarial Science at HKU
Generalized quantiles of a random variable were defined as the minimizers of a general asymmetric loss function, which include quantiles, expectiles and M-quantiles as their special cases. Expectiles have been suggested as potentially better alternatives to both Value-at-Risk and expected shortfall risk measures. In this paper, we first establish the first-order expansions of generalized quantiles for extreme risks as the confidence level alpha up arrow 1, and then investigate the first-order and/or second-order expansions of expectiles of an extreme risk as alpha up arrow 1 according to the underlying distribution belonging to the max-domain of attraction of the Frechet, Weibull, and Gumbel distributions, respectively. Examples are also presented to examine whether and how much the first-order expansions have been improved by the second-order expansions.
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