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The Law of One Price: Nonlinearities in Sectoral Real Exchange Rate Dynamics

Author

Listed:
  • Luciana Juvenal

    (University of Warwick)

  • Mark P. Taylor

    (University of Warwick, Centre for Economic Policy Research)

Abstract

Using Self-Exciting Threshold Autoregressive Models (SETAR), this paper explores the validity of the Law of One Price (LOOP) for nineteen sectors in ten European countries. We find strong evidence of nonlinear mean reversion in deviations from the LOOP. We highlight the importance of modelling the real exchange rate in a nonlinear fashion in an attempt to solve the PPP Puzzle. Using the US dollar as a reference currency, half-life estimates range from nine to sixteen months (country averages), which are significantly lower than the `consensus estimates' of three to five years. The results also show that transaction costs differ enormously across sectors and countries

Suggested Citation

  • Luciana Juvenal & Mark P. Taylor, 2007. "The Law of One Price: Nonlinearities in Sectoral Real Exchange Rate Dynamics," Money Macro and Finance (MMF) Research Group Conference 2006 80, Money Macro and Finance Research Group.
    • Handle: RePEc:mmf:mmfc06:80
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    File URL: http://repec.org/mmf2006/up.11680.1145461761.pdf
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    References listed on IDEAS

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    Cited by:

    1. Juan Jiménez-Martin & M. Robles-Fernandez, 2010. "PPP: Delusion or Reality? Evidence from a Nonlinear Analysis," Open Economies Review, Springer, vol. 21(5), pages 679-704, November.

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    More about this item

    Keywords

    Law of One Price; mean reversion; nonlinearities; thresholds;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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