IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/2005501.html
   My bibliography  Save this paper

Measuring comovements by regression quantiles

Author

Listed:
  • Cappiello, Lorenzo
  • Manganelli, Simone
  • Gérard, Bruno

Abstract

This paper develops a rigorous econometric framework to investigate the structure of codependence between random variables and to test whether it changes over time. Our approach is based on the computation - over both a test and a benchmark period - of the conditional probability that a random variable yt is lower than a given quantile, when the other random variable xt is also lower than its corresponding quantile, for any set of prespecified quantiles. Time-varying conditional quantiles are modeled via regression quantiles. The conditional probability is estimated through a simple OLS regression. We illustrate the methodology by investigating the impact of the crises of the 1990s on the major Latin American equity markets returns. Our results document significant increases in equity return co-movements during crises consistent with the presence of financial contagion. JEL Classification: C14, C22, G15

Suggested Citation

  • Cappiello, Lorenzo & Manganelli, Simone & Gérard, Bruno, 2005. "Measuring comovements by regression quantiles," Working Paper Series 501, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2005501
    Note: 234084
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp501.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    2. De Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic risk: A survey," Working Paper Series 35, European Central Bank.
    3. Mr. Alessandro Rebucci & Mr. Matteo Ciccarelli, 2003. "Measuring Contagion with a Bayesian Time-Varying Coefficient Model," IMF Working Papers 2003/171, International Monetary Fund.
    4. Len Umantsev & Victor Chernozhukov, 2001. "Conditional value-at-risk: Aspects of modeling and estimation," Empirical Economics, Springer, vol. 26(1), pages 271-292.
    5. Barry Eichengreen & Andrew K. Rose & Charles Wyplosz, 1996. "Contagious Currency Crises," NBER Working Papers 5681, National Bureau of Economic Research, Inc.
    6. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    7. Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003. "A New Approach to Measuring Financial Contagion," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
    8. Mardi Dungey & Renee Fry & Brenda Gonzalez-Hermosillo & Vance Martin, 2005. "Empirical modelling of contagion: a review of methodologies," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 9-24.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simone Manganelli & Lorenzo Cappiello & Bruno Gerard, 2004. "The Contagion Box: Measuring Co-Movements in Financial Markets by Regression Quantiles," Econometric Society 2004 Latin American Meetings 77, Econometric Society.
    2. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
    3. Boyson, Nicole M. & Stahel, Christof W. & Stulz, Rene M., 2006. "Is There Hedge Fund Contagion?," Working Paper Series 2006-1, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    4. Aït-Sahalia, Yacine & Cacho-Diaz, Julio & Laeven, Roger J.A., 2015. "Modeling financial contagion using mutually exciting jump processes," Journal of Financial Economics, Elsevier, vol. 117(3), pages 585-606.
    5. Nicole M. Boyson & Christof W. Stahel & Rene M. Stulz, 2008. "Hedge Fund Contagion and Liquidity," NBER Working Papers 14068, National Bureau of Economic Research, Inc.
    6. Metiu, N., 2011. "Financial contagion in developed sovereign bond markets," Research Memorandum 004, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    7. Cappiello, Lorenzo & Manganelli, Simone & Kadareja, Arjan, 2008. "The impact of the euro on equity markets: a country and sector decomposition," Working Paper Series 906, European Central Bank.
    8. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    9. Shaun Bond & Mardi Dungey & Renée Fry, 2006. "A Web Of Shocks: Crises Across Asian Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 253-274, May.
    10. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
    11. Mardi Dungey & Rene Fry & Vance L. Martin, 2006. "Correlation, Contagion, and Asian Evidence," Asian Economic Papers, MIT Press, vol. 5(2), pages 32-72, Spring/Su.
    12. Mittnik, Stefan, 2014. "VaR-implied tail-correlation matrices," Economics Letters, Elsevier, vol. 122(1), pages 69-73.
    13. Henryk Gurgul & Robert Syrek, 2023. "Contagion between selected European indexes during the Covid-19 pandemic," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(1), pages 47-59.
    14. Coudert, Virginie & Couharde, Cécile & Mignon, Valérie, 2011. "Exchange rate volatility across financial crises," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3010-3018, November.
    15. Bampinas, Georgios & Panagiotidis, Theodore & Politsidis, Panagiotis N., 2023. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 137(C).
    16. Sewraj, Deeya & Gebka, Bartosz & Anderson, Robert D.J., 2018. "Identifying contagion: A unifying approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 224-240.
    17. Kim, Bong-Han & Kim, Hyeongwoo & Lee, Bong-Soo, 2015. "Spillover effects of the U.S. financial crisis on financial markets in emerging Asian countries," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 192-210.
    18. Kole, H.J.W.G. & Koedijk, C.G. & Verbeek, M.J.C.M., 2004. "The effects of systemic crises when investors can be crisis ignorant," ERIM Report Series Research in Management ERS-2004-027-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 University Rotterdam.
    19. Abdol S. Soofi & Zhe Li & Xiaofeng Hui, 2012. "Nonlinear interdependence of the Chinese stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 12(3), pages 397-410, November.
    20. Thanaset Chevapatrakul & Kai-Hong Tee, 2014. "The Effects of News Events on Market Contagion: Evidence from the 2007-2009 Financial Crisis," Discussion Papers 2014/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).

    More about this item

    Keywords

    codependence; conditional quantiles; semi-parametric;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecb:ecbwps:2005501. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.