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Central bank FOREX interventions assessed using realized moments

Author

Listed:
  • BEINE, Michel
  • LAURENT, Sébastien
  • PALM, Franz C.

Abstract

This paper studies and assesses the impact of G3 Central Bank interventions on the DEM/USD exchange rate properties using daily realized moments of exchange rate returns (obtained from intraday data) for the period 1989-2001. Event studies in terms of the realized moments for the intervention day, the days preceding and following the intervention day illustrate the shape of this impact. Rolling regressions results for an ARFIMA model for realized moments are used to measure the intervention impact and characterize its significance. The analysis confirms previous findings of an increase of volatility after a coordinated Central Bank intervention. It highlights new findings on the timing and the persistence of coordinated interventions on exchange rate volatility, on important volatility spillovers, on the impact on exchange rate covariances and correlations and on skewness coefficients.
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Suggested Citation

  • BEINE, Michel & LAURENT, Sébastien & PALM, Franz C., 2009. "Central bank FOREX interventions assessed using realized moments," LIDAM Reprints CORE 2135, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2135
    DOI: 10.1016/j.intfin.2007.09.001
    Note: In : Journal of International Financial Markets, Institutions & Money, 19, 112-127, 2009
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    Cited by:

    1. Michel Beine & Charles S. Bos & Sébastien Laurent, 2007. "The Impact of Central Bank FX Interventions on Currency Components," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 154-183.
    2. Georgios Chortareas & Ying Jiang & John C. Nankervis, 2013. "Volatility and Spillover Effects of Yen Interventions," Review of International Economics, Wiley Blackwell, vol. 21(4), pages 671-689, September.
    3. Beine, Michel & Laurent, Sébastien & Palm, Franz C., 2009. "Central bank FOREX interventions assessed using realized moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 112-127, February.
    4. Jean-Yves Gnabo & J�rôme Lahaye & S�bastien Laurent & Christelle Lecourt, 2012. "Do jumps mislead the FX market?," Quantitative Finance, Taylor & Francis Journals, vol. 12(10), pages 1521-1532, October.
    5. Douglas, Christopher C. & Kolar, Marek, 2009. "Capturing the time dynamics of central bank intervention," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 950-968, December.
    6. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš, 2019. "Central bank announcements and realized volatility of stock markets in G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 117-135.
    7. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    8. Vithessonthi, Chaiporn, 2014. "Monetary policy and the first- and second-moment exchange rate change during the global financial crisis: Evidence from Thailand," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 170-194.
    9. Morel, Christophe & Teïletche, Jérôme, 2008. "Do interventions in foreign exchange markets modify investors' expectations? The experience of Japan between 1992 and 2004," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 211-231, March.
    10. Charles Bos & Neil Shephard, 2006. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 219-244.
    11. repec:dau:papers:123456789/12956 is not listed on IDEAS
    12. Michel Beine & Oscar Bernal Diaz, 2005. "Why do Central Banks intervene secretly? preliminary evidence of the BoJ," DULBEA Working Papers in, ULB -- Universite Libre de Bruxelles.
    13. Darmoul Mokhtar & Nizar Harrathi, 2007. "Monetary information arrivals and intraday exchange rate volatility: a comparison of the GARCH and the EGARCH models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00174996, HAL.
    14. Vithessonthi, Chaiporn & Tongurai, Jittima, 2013. "Unremunerated reserve requirements, exchange rate volatility, and firm value," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 358-378.
    15. Srđan Marinković, 2014. "Non-Parametric Sign Test And Paired Samples Test Of Effectiveness Of Official Fx Intervention," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(202), pages 107-130, July – Se.
    16. Charles Bos & Neil Shephard, 2006. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 219-244.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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