IDEAS home Printed from https://ideas.repec.org/h/cnb/ocpubc/fsr1516-2.html
   My bibliography  Save this book chapter

The Relationship between Liquidity Risk and Credit Risk in The CNB's Liquidity Stress Tests

In: CNB Financial Stability Report 2015/2016

Author

Listed:
  • Zlatuse Komarkova
  • Marek Rusnak
  • Hana Hejlova

Abstract

This article describes an extension to the bank liquidity stress test methodology used by the CNB. The new test has been lengthened to a one-year stress period. Shocks are generated using the CNB's macro-stress scenario and bank solvency macro-stress test results. The test concept is based on the principles of the European LCR and NSFR liquidity standards. By changing its liquidity test methodology the CNB is responding to the need to incorporate the impact of credit risk into the liquidity position of Czech banks and to monitor their liquidity position over a longer stress period. The presented methodology is then applied to a sample of Czech banks. This allows us to monitor the sensitivity of their liquidity position to the combination of shocks under consideration.

Suggested Citation

  • Zlatuse Komarkova & Marek Rusnak & Hana Hejlova, 2016. "The Relationship between Liquidity Risk and Credit Risk in The CNB's Liquidity Stress Tests," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2015/2016, chapter 0, pages 127-136, Czech National Bank.
    • Handle: RePEc:cnb:ocpubc:fsr1516/2
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/financial-stability/.galleries/fs_reports/fsr_2015-2016/fsr_2015-2016_article_ii.pdf
    Download Restriction: no
    File URL: https://www.cnb.cz/en/financial-stability/thematic-articles-on-financial-stability/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heider, Florian & Hoerova, Marie & Holthausen, Cornelia, 2015. "Liquidity hoarding and interbank market rates: The role of counterparty risk," Journal of Financial Economics, Elsevier, vol. 118(2), pages 336-354.
    2. Jill Cetina, 2015. "Incorporating Liquidity Shocks and Feedbacks in Bank Stress Tests," Briefs 15-06, Office of Financial Research, US Department of the Treasury.
    3. Adam Gersl & Zlatuse Komarkova & Lubos Komarek, 2016. "Liquidity Stress Testing with Second-Round Effects: Application to the Czech Banking Sector," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(1), pages 32-49, February.
    4. Eric Wong & Cho-Hoi Hui, 2009. "A Liquidity Risk Stress-Testing Framework with Interaction between Market and Credit Risks," Working Papers 0906, Hong Kong Monetary Authority.
    5. Zlatuse Komarkova & Adam Gersl & Lubos Komarek, 2011. "Models for Stress Testing Czech Banks' Liquidity Risk," Working Papers 2011/11, Czech National Bank.
    6. Jan Willem van den End, 2012. "Liquidity stress-tester: do Basel III and unconventional monetary policy work?," Applied Financial Economics, Taylor & Francis Journals, vol. 22(15), pages 1233-1257, August.
    7. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2012. "Dynamic Stress Testing: The Framework for Testing Banking Sector Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech National Bank.
    8. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    9. Mr. Claus Puhr & Mr. Andre O Santos & Mr. Christian Schmieder & Salih N. Neftci & Mr. Benjamin Neudorfer & Mr. Stefan W. Schmitz & Mr. Heiko Hesse, 2012. "Next Generation System-Wide Liquidity Stress Testing," IMF Working Papers 2012/003, International Monetary Fund.
    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. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, 2020. "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 251-273.
    2. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, . "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, University of Economics, Prague, vol. 0.
    3. Neagu, Florian & Mihai, Irina, 2013. "Sudden stop of capital flows and the consequences for the banking sector and the real economy," Working Paper Series 1591, European Central Bank.
    4. Aditya Anta Taruna & Cicilia Anggadewi Harun & Raquela Renanda Nattan, 2020. "Macroprudential Liquidity Stress Test: An Application to Indonesian Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 165-187.
    5. Mr. Heiko Hesse & Mr. Ferhan Salman & Mr. Christian Schmieder, 2014. "How to Capture Macro-Financial Spillover Effects in Stress Tests?," IMF Working Papers 2014/103, International Monetary Fund.
    6. Oana-Maria Georgescu & Dimitrios Laliotis & Miha Leber & Javier Población, 2020. "A Liquidity Shortfall Analysis Framework for the European Banking Sector," Mathematics, MDPI, vol. 8(5), pages 1-15, May.
    7. International Monetary Fund, 2013. "European Union: Publication of Financial Sector Assessment Program Documentation—Technical Note on Stress Testing of Banks," IMF Staff Country Reports 2013/068, International Monetary Fund.
    8. König, Philipp J. & Pothier, David, 2018. "Safe but fragile: Information acquisition, sponsor support and shadow bank runs," Discussion Papers 15/2018, Deutsche Bundesbank.
    9. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
    10. Dauwe, Alexander & Moura, Marcelo L., 2011. "Forecasting the term structure of the Euro Market using Principal Component Analysis," Insper Working Papers wpe_233, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    11. Pericoli, Marcello & Taboga, Marco, 2012. "Bond risk premia, macroeconomic fundamentals and the exchange rate," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 42-65.
    12. Corbet, Shaen & Larkin, Charles, 2017. "Has the uniformity of banking regulation within the European Union restricted rather than encouraged sectoral development?," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 48-65.
    13. Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    14. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, February.
    15. Andr? Kurmann & Christopher Otrok, 2013. "News Shocks and the Slope of the Term Structure of Interest Rates," American Economic Review, American Economic Association, vol. 103(6), pages 2612-2632, October.
    16. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 695-746, August.
    17. Constantino Hevia & Martín Sola & Ivan Petrella, 2022. "Bond risk premia, priced regime shifts, and macroeconomic fundamentals," Department of Economics Working Papers 2022_03, Universidad Torcuato Di Tella.
    18. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    19. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    20. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.

    More about this item

    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:cnb:ocpubc:fsr1516/2. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.