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Measuring Financial Contagion Using Time-Aligned Data: The Importance of the Speed of Transmission of Shocks

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  • Stefanie Kleimeier
  • Thorsten Lehnert
  • Willem F. C. Verschoor

Abstract

This paper presents a new empirical approach to address the problem of trading time differences between markets in studies of financial contagion. In contrast to end-of-business-day data common to most contagion studies, we employ price observations, which are exactly aligned in time to correct for time-zone and end-of-business-day differences between markets. Additionally, we allow for time lags between price observations in order to test the assumption that the shock is not immediately transmitted from one market to the other. Our analysis of the financial turmoil surrounding the Asian crisis reveals that such corrections have an important bearing on the evidence for contagion, independent of the methodology employed. Using a correlation-based test, we find more contagion the faster we assume the shock to be transmitted. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2008.

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.

Volume (Year): 70 (2008)
Issue (Month): 4 (08)
Pages: 493-508

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Handle: RePEc:bla:obuest:v:70:y:2008:i:4:p:493-508

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Cited by:
  1. Andres Kuusk & Tiiu Paas, 2010. "Contagion Of Financial Crises With Special Emphasis On Cee Economies: A Metaanalysis," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 66, Faculty of Economics and Business Administration, University of Tartu (Estonia).
  2. Richard C. K. Burdekin & Pierre L. Siklos, 2011. "Enter the Dragon: Interactions between Chinese, US and Asia-Pacific Equity Markets, 1995-2010," CAMA Working Papers 2011-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Gębka, Bartosz & Karoglou, Michail, 2013. "Have the GIPSI settled down? Breaks and multivariate stochastic volatility models for, and not against, the European financial integration," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3639-3653.
  4. Dungey, Mardi & Yalama, Abdullah, 2010. "Detecting Contagion with Correlation: Volatility and Timing Matter," Working Papers 10447, University of Tasmania, School of Economics and Finance, revised 01 May 2010.
  5. Markwat, T.D. & Kole, H.J.W.G. & van Dijk, D.J.C., 2008. "Contagion as Domino Effect in Global Stock Markets," ERIM Report Series Research in Management ERS-2008-071-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  6. Veysov, Alexander, 2012. "Financial Contagion and Systemic Risk: From Theory to Applicable Macroeconomic Model," MPRA Paper 40612, University Library of Munich, Germany.

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