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Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries

Author

Listed:
  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University, Turkey ; Department of Economics, University of Pretoria, South Africa ; and IPAG Business School, Paris France)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Christian Pierdzioch

    (Department of Economics, Helmut Schmidt University, Germany)

  • Mark Wohar

    (Department of Economics, University of Nebraska-Omaha, USA and Loughborough University, UK)

Abstract

We use a novel non-parametric causality-in-quantiles test to study the effects of terror attacks on stock-market returns and volatility in G7 countries. We also use the novel test to study the international repercussions of terror attacks. Test results show that terror attacks often have significant effects on returns, whereas the effect on volatility is significant only in few cases. The effects on returns in many cases become stronger in terms of significance for the upper and lower quantiles of the conditional distribution of stock-market returns. As for international repercussions, we find that terror attacks mainly affect the tails of the conditional distribution of stock-market returns. We find no evidence of a significant cross-border effects of terror attacks on stock-market volatility.

Suggested Citation

  • Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries," Working Papers 201608, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201608
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    References listed on IDEAS

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    1. Helena Chulia & Francisco Climent & Pilar Soriano & Hipolit Torro, 2009. "Volatility transmission patterns and terrorist attacks," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 607-619.
    2. Eldor, Rafi & Melnick, Rafi, 2004. "Financial markets and terrorism," European Journal of Political Economy, Elsevier, vol. 20(2), pages 367-386, June.
    3. Chen, Andrew H. & Siems, Thomas F., 2004. "The effects of terrorism on global capital markets," European Journal of Political Economy, Elsevier, vol. 20(2), pages 349-366, June.
    4. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    5. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    6. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    7. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    8. Arin, K. Peren & Ciferri, Davide & Spagnolo, Nicola, 2008. "The price of terror: The effects of terrorism on stock market returns and volatility," Economics Letters, Elsevier, vol. 101(3), pages 164-167, December.
    9. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.
    10. G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2.
    11. Mark T. Hon & Jack Strauss & Soo‐Keong Yong, 2004. "Contagion in financial markets after September 11: myth or reality?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(1), pages 95-114, March.
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    More about this item

    Keywords

    Stock markets; returns; volatility; nonparametric causality-in-quantiles test; terror attacks; G7 countries;
    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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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