IDEAS home Printed from https://ideas.repec.org/h/bis/bisifc/43-12.html
   My bibliography  Save this book chapter

Measuring cross-sectoral shifts in credit provisioning: an enhanced framework

In: Statistical implications of the new financial landscape

Author

Listed:
  • Melle Bijlsma
  • Jan Kakes
  • Eric Klaaijsen

Abstract

No abstract is available for this item.

Suggested Citation

  • Melle Bijlsma & Jan Kakes & Eric Klaaijsen, 2017. "Measuring cross-sectoral shifts in credit provisioning: an enhanced framework," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
  • Handle: RePEc:bis:bisifc:43-12
    as

    Download full text from publisher

    File URL: http://www.bis.org/ifc/publ/ifcb43_g.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bos, Frits, 2007. "Compiling the national accounts demystified," MPRA Paper 3736, University Library of Munich, Germany.
    2. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    3. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    4. Mr. Robert M Heath & Evrim Bese Goksu, 2016. "G-20 Data Gaps Initiative II: Meeting the Policy Challenge," IMF Working Papers 2016/043, International Monetary Fund.
    5. Colangelo, Antonio, 2016. "The statistical classification of cash pooling activities," Statistics Paper Series 16, European Central Bank.
    6. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    7. Charles R. Hulten & Marshall B. Reinsdorf, 2015. "Measuring Wealth and Financial Intermediation and Their Links to the Real Economy," NBER Books, National Bureau of Economic Research, Inc, number hult10-1.
    8. Claudio Borio, 2013. "The Great Financial Crisis: Setting priorities for new statistics," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 306-317, July.
    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. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    2. Claudio Borio & Mathias Drehmann & Dora Xia Author-X-Name_First: Dora, 2019. "Predicting recessions: financial cycle versus term spread," BIS Working Papers 818, Bank for International Settlements.
    3. Jorge E. Galán, 2019. "Measuring credit-to-gdp gaps. The hodrick-prescott filter revisited," Occasional Papers 1906, Banco de España.
    4. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    5. Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
    6. Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2022. "Measuring financial cycles: Empirical evidence for Germany, United Kingdom and United States of America," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 599-630.
    7. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
    8. Pierluigi Bologna & Maddalena Galardo, 2022. "Calibrating the countercyclical capital buffer for Italy," Questioni di Economia e Finanza (Occasional Papers) 679, Bank of Italy, Economic Research and International Relations Area.
    9. Bianchi, Benedetta, 2018. "Structural credit ratios," ESRB Working Paper Series 85, European Systemic Risk Board.
    10. Björn Richter & Moritz Schularick & Paul Wachtel, 2021. "When to Lean against the Wind," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 5-39, February.
    11. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    12. Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    13. Huynh, Tran & Uebelmesser, Silke, 2024. "Early warning models for systemic banking crises: Can political indicators improve prediction?," European Journal of Political Economy, Elsevier, vol. 81(C).
    14. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    15. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España.
    16. Iñaki Aldasoro & Claudio Borio & Mathias Drehmann, 2018. "Early warning indicators of banking crises: expanding the family," BIS Quarterly Review, Bank for International Settlements, March.
    17. Adam Geršl & Thomas Mitterling, 2021. "Forecast-Augmented Credit-to-GDP Gap as an Early Warning Indicator of Banking Crises," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 71(4), pages 323-351, December.
    18. Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
    19. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    20. Aikman, David & Bluwstein, Kristina & Karmakar, Sudipto, 2021. "A tail of three occasionally-binding constraints: a modelling approach to GDP-at-Risk," Bank of England working papers 931, Bank of England.

    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:bis:bisifc:43-12. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.