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An Examination of "New" and "Old" Terrorism Using High-Frequency Data

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  • John Garvey
  • Martin Mullins

Abstract

The impact of large-scale terrorist attacks has clear implications for financial market participants and corporate risk management. In this paper, that impact is measured in the intraday trading patterns of participants in the London stock market. A two-scale realized volatility (TSRV) estimator is used to provide an insight into market activity in a number of FTSE-100 companies in the days around the Madrid (11M) bombing. Furthermore, empirical trading patterns, reflected in trade volumes and five-minute realized volatility, are used to identify changes in risk perceptions in the immediate aftermath of the 11M attack. Intraday tick data illustrates the distinct perceptions of risk associated with "old" terrorism and "new" terrorism as represented by Al-Qaeda.

Suggested Citation

  • John Garvey & Martin Mullins, 2009. "An Examination of "New" and "Old" Terrorism Using High-Frequency Data," Economics of Security Working Paper Series 18, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diweos:diweos18
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    References listed on IDEAS

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    1. Bertrand B. Maillet & Thierry L. Michel, 2005. "The Impact of the 9/11 Events on the American and French Stock Markets," Review of International Economics, Wiley Blackwell, vol. 13(3), pages 597-611, August.
    2. Torben G. Andersen & Tim Bollerslev & Nour Meddahi, 2005. "Correcting the Errors: Volatility Forecast Evaluation Using High-Frequency Data and Realized Volatilities," Econometrica, Econometric Society, vol. 73(1), pages 279-296, January.
    3. Zhang, Lan & Mykland, Per A. & Ait-Sahalia, Yacine, 2005. "A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1394-1411, December.
    4. Craig R. Fox & Amos Tversky, 1995. "Ambiguity Aversion and Comparative Ignorance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 585-603.
    5. Robin Hogarth, 2005. "The challenge of representative design in psychology and economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 253-263.
    6. Zhou, Bin, 1996. "High-Frequency Data and Volatility in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 45-52, January.
    7. Patrick Lenain & Marcos Bonturi & Vincent Koen, 2002. "The Economic Consequences of Terrorism," OECD Economics Department Working Papers 334, OECD Publishing.
    8. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    9. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Konstantinos Drakos & Ali M. Kutan, 2003. "Regional Effects of Terrorism on Tourism in Three Mediterranean Countries," Journal of Conflict Resolution, Peace Science Society (International), vol. 47(5), pages 621-641, October.
    12. Lutz James M & Lutz Brenda J, 2006. "Terrorism as Economic Warfare," Global Economy Journal, De Gruyter, vol. 6(2), pages 1-22, May.
    13. Paul Slovic, 2002. "Terrorism as Hazard: A New Species of Trouble," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 425-426, June.
    14. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    15. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    16. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    17. Drakos, Konstantinos & Kutan, Ali M., 2001. "Regional effects of terrorism on tourism: Evidence from three Mediterranean countries," ZEI Working Papers B 26-2001, University of Bonn, ZEI - Center for European Integration Studies.
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    Cited by:

    1. Michael Brzoska & Raphael Bossong & Eric van Um, 2011. "Security Economics in the European Context: Implications of the EUSECON Project," Economics of Security Working Paper Series 58, DIW Berlin, German Institute for Economic Research.

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