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Stock Markets Turmoil: Worldwide Effects of Middle East Conflicts

  • Viviana Fernandez

    ()

In this article, we analyze the impact of recent political conflicts in the Middle East on stock markets worldwide. In particular, we study how political instability––mainly due to the war in Iraq––has affected long-term volatility of stock markets. In doing so, we utilize two approaches to detecting structural breakpoints in volatility: Inclan and Tiao’s Iterative Cumulative Sum of Squares (ICSS) algorithm and wavelet-based variante analysis. After controlling for conditional heteroskedasticity and serial correlation in returns, we conclude that Middle East conflicts have had an impact primarily on the stock markets of countries in that region and emerging Asian countries (e.g., Turkey, Morocco, Egypt, Pakistan, and Indonesia). Further evidence, from an international version of the CAPM, shows that political instability in the Middle East has increased the sensitivity of stock markets to exchange rate risk and, to a lesser extent, to market risk (e.g., Pakistan and Spain).

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File URL: http://www.dii.uchile.cl/~cea/sitedev/cea/www/download.php?file=documentos_trabajo/ASOCFILE120060119094214.pdf
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Paper provided by Centro de Economía Aplicada, Universidad de Chile in its series Documentos de Trabajo with number 215.

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Date of creation: 2005
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Handle: RePEc:edj:ceauch:215
Contact details of provider: Web page: http://www.dii.uchile.cl/cea/

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  1. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
  2. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-34, April.
  3. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Differentiating intraday seasonalities through wavelet multi-scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 543-556.
  4. Connor Jeff & Rossiter Rosemary, 2005. "Wavelet Transforms and Commodity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-22, March.
  5. Aggarwal, Reena & Inclan, Carla & Leal, Ricardo, 1999. "Volatility in Emerging Stock Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(01), pages 33-55, March.
  6. 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.
  7. Lin Shinn-Juh & Stevenson Maxwell, 2001. "Wavelet Analysis of the Cost-of-Carry Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(1), pages 1-17, April.
  8. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
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