IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20101214.html
   My bibliography  Save this paper

Detecting and interpreting financial stress in the euro area

Author

Listed:
  • Blix Grimaldi, Marianna

Abstract

There is a need to find better models and indicators for large disruptive events, not least in order to be more prepared and mitigate their effects. In this paper we take a step in this direction and discuss the performance of a financial stress indicator with a specific focus on the euro area. As far as we know, our indicator is the first attempt to develop an indicator of financial stress with a specific focus on the euro area. It is also the first to exploit the information contained in central bank communication to help measure stress in financial markets. For use in real time, the indicator is able to efficiently extract information from an otherwise noisy signal and provide information about the level of stress in the markets. JEL Classification: E44, E50, G10

Suggested Citation

  • Blix Grimaldi, Marianna, 2010. "Detecting and interpreting financial stress in the euro area," Working Paper Series 1214, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20101214
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1214.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lestano & Jacobs, Jan & Kuper, Gerard H., 2003. "Indicators of financial crises do work! : an early-warning system for six Asian countries," CCSO Working Papers 200313, University of Groningen, CCSO Centre for Economic Research.
    2. Matthieu Bussière, 2013. "Balance of payment crises in emerging markets: how early were the ‘early’ warning signals?," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1601-1623, April.
    3. repec:dgr:rugccs:200313 is not listed on IDEAS
    4. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    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. Cipollini, A. & Kapetanios, G., 2009. "Forecasting financial crises and contagion in Asia using dynamic factor analysis," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 188-200, March.
    2. Jan Babecky & Tomas Havranek & Jakub Mateju & Marek Rusnak & Katerina Smidkova & Borek Vasicek, 2011. "Early Warning Indicators of Economic Crises: Evidence from a Panel of 40 Developed Countries," Working Papers 2011/08, Czech National Bank.
    3. Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin & Franz C. Palm, 2013. "Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation," Advances in Econometrics, in: VAR Models in Macroeconomics – New Developments and Applications: Essays in Honor of Christopher A. Sims, volume 32, pages 395-427, Emerald Group Publishing Limited.
    4. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
    5. Casu, Barbara & Clare, Andrew & Saleh, Nashwa, 2011. "Towards a new model for early warning signals for systemic financial fragility and near crises: an application to OECD countries," MPRA Paper 37043, University Library of Munich, Germany.
    6. Mark Joy & Marek Rusnák & Kateřina Šmídková & Bořek Vašíček, 2017. "Banking and Currency Crises: Differential Diagnostics for Developed Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 44-67, January.
    7. Eijffinger, Sylvester C.W. & Karataş, Bilge, 2020. "Together or apart? The relationship between currency and banking crises," Journal of Banking & Finance, Elsevier, vol. 119(C).
    8. Ari, Ali, 2008. "An Early Warning Signals Approach for Currency Crises: The Turkish Case," MPRA Paper 25858, University Library of Munich, Germany, revised 2009.
    9. Bunda, Irina & Ca' Zorzi, Michele, 2010. "Signals from housing and lending booms," Emerging Markets Review, Elsevier, vol. 11(1), pages 1-20, March.
    10. Christofides, Charis & Eicher, Theo S. & Papageorgiou, Chris, 2016. "Did established Early Warning Signals predict the 2008 crises?," European Economic Review, Elsevier, vol. 81(C), pages 103-114.
    11. David A. Steinberg & Karrie J. Koesel & Nicolas W. Thompson, 2015. "Political Regimes and Currency Crises," Economics and Politics, Wiley Blackwell, vol. 27(3), pages 337-361, November.
    12. Alonso-Alvarez, Irma & Molina, Luis, 2023. "How to foresee crises? A new synthetic index of vulnerabilities for emerging economies," Economic Modelling, Elsevier, vol. 125(C).
    13. Jan P.A.M. Jacobs & Gerard H. Kuper & Lestano, 2004. "Currency crises in Asia: A multivariate logit approach," International Finance 0409005, University Library of Munich, Germany.
    14. Ari, Ali, 2012. "Early warning systems for currency crises: The Turkish case," Economic Systems, Elsevier, vol. 36(3), pages 391-410.
    15. Crespo Cuaresma, Jesús & Slacik, Tomas, 2009. "On the determinants of currency crises: The role of model uncertainty," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 621-632, December.
    16. Matthew S. Yiu & Alex Ho & Lu Jin, 2009. "Econometric Approach to Early Warnings of Vulnerability in the Banking System and Currency Markets for Hong Kong and Other EMEAP Economies," Working Papers 0908, Hong Kong Monetary Authority.
    17. van den Berg, Jeroen & Candelon, Bertrand & Urbain, Jean-Pierre, 2008. "A cautious note on the use of panel models to predict financial crises," Economics Letters, Elsevier, vol. 101(1), pages 80-83, October.
    18. David Greenlaw & James D. Hamilton & Peter Hooper & Frederic S. Mishkin, 2013. "Crunch Time: Fiscal Crises and the Role of Monetary Policy," NBER Working Papers 19297, National Bureau of Economic Research, Inc.
    19. Kamila Tomczak, 2023. "Transmission of the 2007–2008 financial crisis in advanced countries of the European Union," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 40-64, January.
    20. Wang, Peiwan & Zong, Lu, 2023. "Does machine learning help private sectors to alarm crises? Evidence from China’s currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).

    More about this item

    Keywords

    behavioural finance; central bank communication; Financial stress; Leading Indicator; logit distribution;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:20101214. 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.