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Exchange rate volatility, macro announcements and the choice of intraday seasonality filtering method

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  • Laakkonen, Helinä

    ()
    (University of Jyväskylä)

Abstract

Filtering intraday seasonality in volatility is crucial for using high frequency data in econometric analysis. This paper studies the effects of filtering on statistical inference concerning the impact of news on exchange rate volatility. The properties of different methods are studied using a 5-minute frequency USD/EUR data set and simulated returns. The simulation results suggest that all the methods tend to produce downward-biased estimates of news coefficients, some more than others. The study supports the Flexible Fourier Form method as the best for seasonality filtering.

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File URL: http://www.suomenpankki.fi/en/julkaisut/tutkimukset/keskustelualoitteet/Documents/0723netti.pdf
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Bibliographic Info

Paper provided by Bank of Finland in its series Research Discussion Papers with number 23/2007.

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Length: 32 pages
Date of creation: 28 Nov 2007
Date of revision:
Handle: RePEc:hhs:bofrdp:2007_023

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Postal: Bank of Finland, P.O. Box 160, FI-00101 Helsinki, Finland
Web page: http://www.suomenpankki.fi/en/
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Keywords: high-frequency; volatility; macro announcements; seasonality;

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References

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  1. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2002. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," Working Papers 02-16, Duke University, Department of Economics.
  2. DeGennaro, Ramon P. & Shrieves, Ronald E., 1997. "Public information releases, private information arrival and volatility in the foreign exchange market," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 295-315, December.
  3. Dacorogna, Michael M. & Muller, Ulrich A. & Nagler, Robert J. & Olsen, Richard B. & Pictet, Olivier V., 1993. "A geographical model for the daily and weekly seasonal volatility in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 12(4), pages 413-438, August.
  4. Bauwens, Luc & Ben Omrane, Walid & Giot, Pierre, 2005. "News announcements, market activity and volatility in the euro/dollar foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1108-1125, November.
  5. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-61, July.
  6. Laakkonen , Helinä, 2004. "The impact of macroeconomic news on exchange rate volatility," Research Discussion Papers 24/2004, Bank of Finland.
  7. Kathryn Dominguez & Freyan Panthaki, 2005. "What Defines 'News' in Foreign Exchange Markets," Working Papers 547, Research Seminar in International Economics, University of Michigan.
  8. Martin Martens & Yuan-Chen Chang & Stephen J. Taylor, 2002. "A Comparison of Seasonal Adjustment Methods When Forecasting Intraday Volatility," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 25(2), pages 283-299.
  9. Ben Omrane, Walid & de Bodt, Eric, 2007. "Using self-organizing maps to adjust for intra-day seasonality," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1817-1838, June.
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Citations

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Cited by:
  1. Laakkonen Helinä & Lanne Markku, 2009. "Asymmetric News Effects on Exchange Rate Volatility: Good vs. Bad News in Good vs. Bad Times," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-38, December.
  2. Kerr Hatrick & Mike So & S. Chung & R. Deng, 2011. "Dynamic Relationship among Intraday Realized Volatility, Volume and Number of Trades," Asia-Pacific Financial Markets, Springer, vol. 18(3), pages 291-317, September.
  3. Balázs Égert & Evžen Kočenda, 2012. "The impact of macro news and central bank communication on emerging European forex markets," EconomiX Working Papers 2012-20, University of Paris West - Nanterre la Défense, EconomiX.
  4. Laakkonen, Helinä & Lanne, Markku, 2009. "The Relevance of Accuracy for the Impact of Macroeconomic News on Volatility," MPRA Paper 23718, University Library of Munich, Germany.

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