Determining risk model confidence sets

被引:2
|
作者
Cummins, Mark [1 ]
Dowling, Michael [2 ]
Esposito, Francesco [1 ]
机构
[1] Dublin City Univ, DCU Business Sch, Dublin, Ireland
[2] Rennes Sch Business, Rennes, France
关键词
Model confidence set; Model selection; Market risk models;
D O I
10.1016/j.frl.2017.02.005
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Two alternative approaches to identifying a model confidence set (MCS) are contrasted. Together with a specification of the established MCS test, we present a new version of a test that identifies a model set satisfying the MCS requirements and is characterised by an alternative model ranking p-value. We also contrast the two MCS approaches empirically, constructing a market risk model selection exercise for the Dow Jones Industrial Average. Our adapted MCS method is shown to lead to a smaller MCS, nested within the MCS determined by the popular MCS method, and allows greater distinction between models. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:169 / 174
页数:6
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