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Is exchange rate – customer order flow relationship linear? Evidence from the Hungarian FX market

Author

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  • Yuliya Lovcha

    (University of Alicante)

  • Alejandro Perez-Laborda

    (University of Alicante)

Abstract

over the last decade, the microstructure approach to exchange rates has become very popular. The underlying idea of this approach is that the order flows at different levels of aggregation contain valuable information to explain exchange rate movements. The bulk of empirical literature has focused on evaluating this hypothesis in a linear framework. This paper analyzes nonlinearities in the relation between exchange rates and customer order flows. We show that the relationship evolves over time and that it is different under different market conditions defined by exchange rate volatility. Further, we found that the nonlinearity can be captured successfully by the Threshold regression and Markov Switching models, which provide substantial explanatory power beyond the constant coefficients approach.

Suggested Citation

  • Yuliya Lovcha & Alejandro Perez-Laborda, 2010. "Is exchange rate – customer order flow relationship linear? Evidence from the Hungarian FX market," MNB Working Papers 2010/10, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2010/10
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    Cited by:

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    2. Kleinbrod, Vincent M. & Li, Xiao-Ming, 2017. "Order flow and exchange rate comovement," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 199-215.
    3. Ponomarev, Yuriy (Пономарев, Юрий) & Rey, Aleksey (Рей, Алексей) & Radchenko, Darya (Радченко, Дарья), 2018. "Investigation of the Relationship between the Intensity of International Trade and the Volatility of Paired Exchange Rates of the Russian Federation and its Trading Partners [Исследование Взаимосвя," Working Papers 061823, Russian Presidential Academy of National Economy and Public Administration.
    4. K. H. McIntyre & Kristine Harjes, 2016. "Order Flow and the Bitcoin Spot Rate," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 136-147, August.
    5. Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2017. "Portfolio flows and the US dollar–yen exchange rate," Empirical Economics, Springer, vol. 52(1), pages 179-189, February.

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    More about this item

    Keywords

    customer order flows; nonlinear models; microstructure; exchange rate;
    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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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