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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.

Suggested Citation

  • Stefanie Kleimeier & Thorsten Lehnert & Willem F. C. Verschoor, 2008. "Measuring Financial Contagion Using Time‐Aligned Data: The Importance of the Speed of Transmission of Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 493-508, August.
    • Handle: RePEc:bla:obuest:v:70:y:2008:i:4:p:493-508
    DOI: 10.1111/j.1468-0084.2008.00509.x
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    References listed on IDEAS

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    Cited by:

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    2. Dungey, Mardi & Fry, Renée, 2009. "More Confusion in Contagion Tests: the Effects of a Crisis Sourced in US Credit Markets," The Journal of Economic Asymmetries, Elsevier, vol. 6(3), pages 41-70.
    3. Burdekin, Richard C.K. & Siklos, Pierre L., 2012. "Enter the dragon: Interactions between Chinese, US and Asia-Pacific equity markets, 1995–2010," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 521-541.
    4. Chowdhury, Biplob & Dungey, Mardi & Kangogo, Moses & Sayeed, Mohammad Abu & Volkov, Vladimir, 2019. "The changing network of financial market linkages: The Asian experience," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 71-92.
    5. Mardi Dungey & Moses Kangogo & Vladimir Volkov, 2022. "Dynamic effects of network exposure on equity markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 569-629, December.
    6. Mardi Dungey & Abdullah Yalama, 2009. "Detecting Contagion with Correlation: Volatility and Timing Matter," CAMA Working Papers 2009-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Lei Wu & Qingbin Meng & Kuan Xu, 2015. "'Slow-burn' spillover and 'fast and furious' contagion: a study of international stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 933-958, June.
    8. Markwat, Thijs & Kole, Erik & van Dijk, Dick, 2009. "Contagion as a domino effect in global stock markets," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1996-2012, November.
    9. 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.
    10. Veysov, Alexander, 2012. "Financial Contagion and Systemic Risk: From Theory to Applicable Macroeconomic Model," MPRA Paper 40612, University Library of Munich, Germany.
    11. Bartosz Gębka & Dobromił Serwa, 2012. "Liquidity needs, private information, feedback trading: verifying motives to trade," NBP Working Papers 119, Narodowy Bank Polski.
    12. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    13. 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).
    14. 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.
    15. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.

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