Estimation methods for expected shortfall

被引:52
作者
Nadarajah, Saralees [1 ]
Zhang, Bo [1 ]
Chan, Stephen [1 ]
机构
[1] Univ Manchester, Sch Math, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Expected shortfall; Nonparametric methods; Parametric methods; Semiparametric methods; VALUE-AT-RISK; OPERATIONAL RISK; FINANCIAL RISK; NONPARAMETRIC-ESTIMATION; ASSET RETURNS; GARCH MODELS; STOCK INDEX; STUDENT-T; DISTRIBUTIONS; VOLATILITY;
D O I
10.1080/14697688.2013.816767
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Introduced in the 1980s, value at risk has been a popular measure of financial risk. However, value at risk suffers from a number of drawbacks as measure of financial risk. An alternative measure referred to as expected shortfall was introduced in late 1990s to circumvent these drawbacks. Much theory have been developed since then. The developments have been most intensive in recent years.However, we are not aware of any comprehensive review of known estimation methods for expected shortfall. We feel it is timely that such a review is written. This paper (containing six sections and over 140 references) attempts that task with emphasis on recent developments. We expect this review to serve as a source of reference and encourage further research with respect to measures of financial risk.
引用
收藏
页码:271 / 291
页数:21
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