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Intra-day dynamics of exchange rates: New evidence from quantile regression

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  • Kuck, Konstantin
  • Maderitsch, Robert

Abstract

This study provides a comprehensive description of the intra-day dynamics of major US-Dollar spot exchange rates. We use quantile autoregression to investigate the presence of (non-)linear temporal dependence in foreign exchange returns at various intra-daily time-horizons, ranging from ten minutes up to three hours. Specifically, we investigate an 11-year long sample of non-intermittent high frequency returns for the Euro (EUR), the British Pound (GBP) and the Japanese Yen (JPY) against the US-Dollar (USD). In contrast to previous studies, we find the temporal dependence of intra-daily foreign exchange returns to be non-linear and symmetrically U-shaped. Specifically, we observe pronounced negative autocorrelation for moderate USD appreciations and depreciations (central quantiles). For extreme positive and negative USD movements, we detect positive autocorrelation. This symmetric non-linear form of temporal dependence is remarkably stable across different exchange rates and states of the market. It appears to be a unique feature of foreign exchange returns and might be related to the fundamental ‘two-sidedness’ of foreign exchange markets.

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  • Kuck, Konstantin & Maderitsch, Robert, 2019. "Intra-day dynamics of exchange rates: New evidence from quantile regression," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 247-257.
    • Handle: RePEc:eee:quaeco:v:71:y:2019:i:c:p:247-257
    DOI: 10.1016/j.qref.2018.09.001
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    Cited by:

    1. Bošnjak Mile & Novak Ivan & Vlajčić Davor, 2021. "Market Efficiency of Euro Exchange Rates and Trading Strategies," Naše gospodarstvo/Our economy, Sciendo, vol. 67(2), pages 10-19, June.
    2. Matthieu Garcin & Martino Grasselli, 2022. "Long versus short time scales: the rough dilemma and beyond," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 257-278, June.
    3. Niango Ange Joseph Yapi, 2020. "Exchange rate predictive densities and currency risks: A quantile regression approach," EconomiX Working Papers 2020-16, University of Paris Nanterre, EconomiX.

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    More about this item

    Keywords

    Foreign exchange; Autocorrelation; Quantile regression; State-dependence; Non-linearity;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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