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A multiple variance ratio test using subsampling

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Publication:1927304
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DOI10.1016/S0165-1765(02)00330-0zbMath1255.62390OpenAlexW1980446846MaRDI QIDQ1927304

Yoon-Jae Whang, Jin Ho Kim

Publication date: 1 January 2013

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1765(02)00330-0


zbMATH Keywords

random walk hypothesis


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (5)

Bootstrap tests of multiple inequality restrictions on variance ratios ⋮ Wild bootstrapping variance ratio tests ⋮ Tests of random walk: A comparison of bootstrap approaches ⋮ Finite-sample Resampling-based Combined Hypothesis Tests, with Applications to Serial Correlation and Predictability ⋮ Fourier–type tests involving martingale difference processes



Cites Work

  • A functional central limit theorem for weakly dependent sequences of random variables
  • A simple multiple variance ratio test
  • Subsampling
  • Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator.


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