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On The Asymptotic Power Of The Variance Ratio Test

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Author Info
Deo, Rohit S.
Richardson, Matthew

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Abstract

The variance-ratio (VR) test statistic, which is based on k-period differences of the data, is commonly used in empirical finance and economics to test the random walk hypothesis. We obtain the asymptotic power function of the VR test statistic when the differencing period k is increasing with the sample size n such that k n 0. We show that the test is inconsistent against a variety of mean-reverting alternatives, confirm the result in simulations, and then characterize the functional form of the asymptotic power in terms of and these alternatives.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 19 (2003)
Issue (Month): 02 (April)
Pages: 231-239
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Handle: RePEc:cup:etheor:v:19:y:2003:i:02:p:231-239_19

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  1. Willa Chen & Rohit Deo, 2005. "The Variance Ratio Statistic at large Horizons," Econometrics 0501003, EconWPA. [Downloadable!]
    Other versions:
  2. Masao Ogaki & Sungwook Park, 2007. "Long-run real exchange rate changes and the properties of the variance of k-differences," Working Papers 07-05, Ohio State University, Department of Economics. [Downloadable!]
  3. Simone Bianco & Roberto Ren\'o, 2006. "Unexpected volatility and intraday serial correlation," Quantitative Finance Papers physics/0610023, arXiv.org. [Downloadable!]
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