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Wild bootstrapping variance ratio tests

Article ID Journal Published Year Pages File Type
5062529 Economics Letters 2006 6 Pages PDF
Abstract

The wild bootstrap is proposed as a means of improving small sample properties of variance ratio tests. It is found that the wild bootstrap tests have desirable size properties and exhibit higher power than their alternatives in most cases.

Keywords
G14C12C15Monte Carlo experimentMarket efficiencyWild bootstrapConditional heteroskedasticity
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
Preview
Wild bootstrapping variance ratio tests
Authors
Jae H. Kim,
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Journal
Economics Letters
Journal: Economics Letters
Related Categories
G14
C12
C15
Monte Carlo experiment
Market efficiency
Wild bootstrap
Conditional heteroskedasticity
Economics and Econometrics
Economics, Econometrics and Finance (General)
Finance
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