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Joint Variance-Ratio Tests of the Martingale Hypothesis for Exchange Rates

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Author Info
Fong, Wai Mun
Koh, Seng Kee
Ouliaris, Sam

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Abstract

There is considerable interest as to whether exchange races behave like martingales. Liu and He (1991) test the martingale hypothesis for exchange rates using the variance ratio methodology of Lo and MacKinlay (1988). They find that exchange rates have violated martingale property since the inception of floating rates in 1973. However, Liu and He did not consider the joint implications of their tests, In this paper, we reassess the martingale hypothesis for exchange rates using the joint tests developed by Hochberg (1974) and Richardson and Smith (1991). Contrary to the findings of Liu He, the joint tests indicate that the martingale model worked quite well for exchange rates in the recent years of the floating rate regime.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 15 (1997)
Issue (Month): 1 (January)
Pages: 51-59
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Handle: RePEc:bes:jnlbes:v:15:y:1997:i:1:p:51-59

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  1. Patrick A. Groenendijk & André Lucas & Casper G. de Vries, 1998. "A Hybrid Joint Moment Ratio Test for Financial Time Series," Tinbergen Institute Discussion Papers 98-104/2, Tinbergen Institute. [Downloadable!]
  2. Young-Sook Lee & Tae-Hwan Kim & Paul Newbold, 2005. "Revisiting the Martingale hypothesis for exchange rates," Money Macro and Finance (MMF) Research Group Conference 2005 19, Money Macro and Finance Research Group. [Downloadable!]
  3. Jorge Belaire-Franch & Stanley McGreal & Kwaku K. Opong & James R. Webb, 2007. "A Nonparametric Variance-Ratio Test of the Behavior of U.K. Real Estate and Construction Indices," International Real Estate Review, Asian Real Estate Society, vol. 10(2), pages 94-112. [Downloadable!]
  4. Andreas Lindemann & Christian L. Dunis & Paulo Lisboa, 2005. "Extending the variance ratio test to visualize structure in data: an application to the S&P 100 Index," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(3), pages 189-197, May. [Downloadable!] (restricted)
  5. Kin Lam & May Chun Mei Wong & Wing-Keung Wong, 2005. "New Variance Ratio Tests to Identify Random Walk from the General Mean Reversion Model," Departmental Working Papers wp0514, National University of Singapore, Department of Economics. [Downloadable!]
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