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Intraday effects of macroeconomic shocks on the US Dollar-Euro exchange rates

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  • Han, Young Wook

Abstract

This paper characterizes the intriguing features of high frequency 15-min Dollar-Euro foreign exchange returns data. The FIGARCH model is found to be the preferred specification for the long memory volatility process in the high frequency returns. This paper then examines how macroeconomic shocks affect the high frequency Dollar-Euro returns on an intraday basis. Quantifying the intraday effects of the shocks on the high frequency returns by using a linearly distributed lag dummy variable, this paper finds that the effects on the high frequency returns are generally statistically significant and that they appear to be asymmetric depending on the regions and the signs of the shocks and to be persistent for several lags even within a day. However, the macroeconomic shocks are found not to affect the long memory property in the high frequency returns implying that the linear dummy variable model may not be enough to explain the long memory property.

Suggested Citation

  • Han, Young Wook, 2008. "Intraday effects of macroeconomic shocks on the US Dollar-Euro exchange rates," Japan and the World Economy, Elsevier, vol. 20(4), pages 585-600, December.
  • Handle: RePEc:eee:japwor:v:20:y:2008:i:4:p:585-600
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    2. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    3. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(1) models," CREATES Research Papers 2020-13, Department of Economics and Business Economics, Aarhus University.
    4. Christian Conrad & Michael J. Lamla, 2010. "The High-Frequency Response of the EUR-USD Exchange Rate to ECB Communication," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(7), pages 1391-1417, October.
    5. Frédéric Délèze & Syed Mujahid Hussain, 2014. "Information Arrival, Jumps and Cojumps in European Financial Markets: Evidence Using Tick by Tick Data," Multinational Finance Journal, Multinational Finance Journal, vol. 18(3-4), pages 169-213, September.
    6. Olga S. Kuznetsova & Sofiya R. Ulyanova, 2016. "The Impact Of A Central Bank’S Verbal Interventions On Stock Exchange Indices In A Resource Based Economy: The Evidence From Russia," HSE Working papers WP BRP 155/EC/2016, National Research University Higher School of Economics.
    7. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Morten Ørregaard Nielsen & Antoine L. Noël, 2021. "To infinity and beyond: Efficient computation of ARCH(∞) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 338-354, May.

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