IDEAS home Printed from https://ideas.repec.org/a/nzb/nzbbul/dec201303.html
   My bibliography  Save this article

Measuring systemic risk: the role of macro-prudential indicators

Author

Abstract

This article outlines some of the key indicators the Reserve Bank uses to help inform macro -prudential policy decisions. Macro-prudential indicators (MPIs) play an important role in the identification of financial system risk; the assessment of the banking system's capacity to weather periods of financial stress; and in signalling periods of financial stress. The indicators inform decisions to both deploy and remove macro-prudential instruments. The article explains how the MPI framework helped to frame the recent decision to impose residential mortgage loan-to-value (LVR) restrictions. Data-file for MPIs (XLS 1.1MB) discussed in the main text of this article.

Suggested Citation

  • Tony Wolken, 2013. "Measuring systemic risk: the role of macro-prudential indicators," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 76, pages 13-30, December.
    • Handle: RePEc:nzb:nzbbul:dec2013:03
    as

    Download full text from publisher

    File URL: http://rbnz.govt.nz/-/media/ReserveBank/Files/Publications/Bulletins/2013/2013dec76-4wolken.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    2. Chris Hunt, 2013. "The last financial crisis and the case for macro-prudential intervention," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 76, pages 3-16, June.
    3. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
    4. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    5. Gianni De Nicolo & Giovanni Favara & Lev Ratnovski, 2012. "Externalities and Macroprudential Policy," IMF Staff Discussion Notes 12/05, International Monetary Fund.
    6. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    7. Rebecca Craigie & Anella Munro, 2010. "Financial sector amplification and credit cycles in New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 73, pages 15-34, June.
    8. Lamorna Rogers, 2013. "A new approach to macro-prudential policy for New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 76, pages 12-22, September.
    9. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aikman, David & Kiley, Michael & Lee, Seung Jung & Palumbo, Michael G. & Warusawitharana, Missaka, 2017. "Mapping heat in the U.S. financial system," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 36-64.
    2. Maria Afreen, 2020. "Review Paper on Composite Leading Index Creation for Forecasting the Bangladeshi Financial Sector," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 23-32, October.
    3. Bengtsson, Elias & Grothe, Magdalena & Lepers, Etienne, 2020. "Home, safe home: Cross-country monitoring framework for vulnerabilities in the residential real estate sector," Journal of Banking & Finance, Elsevier, vol. 112(C).
    4. Lee, Minsoo & Gaspar, Raymond & Villaruel, Mai Lin, 2017. "Macroprudential Policy Frameworks in Developing Asian Economies," ADB Economics Working Paper Series 510, Asian Development Bank.
    5. Lojschova, Adriana & Wagner, Karin & Schmidt, Alexander & Akantziliotou, Calliope & Dujardin, Marine & Kennedy, Gerard & Pontuch, Peter, 2015. "Report on residential real estate and financial stability in the EU, Section 1. on Structural features of residential real estate markets," MPRA Paper 79723, University Library of Munich, Germany.
    6. Salim M. Darbar & Xiaoyong Wu, 2016. "Experiences with Macroprudential Policy — Five Case Studies," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-34, October.
    7. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    8. Akaki Liqokeli, 2020. "Measuring Credit Gaps for Macroprudential Policy Guidance: An Application to Georgia," NBG Working Papers 05/2020, National Bank of Georgia.
    9. Lamorna Rogers, 2014. "An A to Z of loan-to-value ratio (LVR) restrictions," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 77, pages 3-14, March.

    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. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    2. Torsten Wezel, 2019. "Conceptual Issues in Calibrating the Basel III Countercyclical Capital Buffer," IMF Working Papers 2019/086, International Monetary Fund.
    3. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    4. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    5. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    6. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    7. Elena Deryugina & Alexey Ponomarenko, 2019. "Determination of the Current Phase of the Credit Cycle in Emerging Markets," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 28-42, June.
    8. Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
    9. Bouvatier, Vincent & El Ouardi, Sofiane, 2023. "Credit gaps as banking crisis predictors: A different tune for middle- and low-income countries," Emerging Markets Review, Elsevier, vol. 54(C).
    10. Daniel O. Beltran & Mohammad R. Jahan-Parvar & Fiona A. Paine, 2021. "Optimizing Credit Gaps for Predicting Financial Crises: Modelling Choices and Tradeoffs," International Finance Discussion Papers 1307, Board of Governors of the Federal Reserve System (U.S.).
    11. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
    12. O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
    13. Geršl, Adam & Jašová, Martina, 2018. "Credit-based early warning indicators of banking crises in emerging markets," Economic Systems, Elsevier, vol. 42(1), pages 18-31.
    14. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.
    15. Thibaut Duprey & Timothy Grieder & Dylan Hogg, 2017. "Recent Evolution of Canada’s Credit-to-GDP Gap: Measurement and Interpretation," Staff Analytical Notes 17-25, Bank of Canada.
    16. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    17. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    18. Tihana Škrinjarić, 2023. "Credit-to-GDP Gap Estimates in Real Time: A Stable Indicator for Macroprudential Policy Making in Croatia," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(3), pages 582-614, September.
    19. Saurabh Ghosh, 2015. "Building on the Countercyclical Consensus: An Empirical Test," Working Papers wp08, South East Asian Central Banks (SEACEN) Research and Training Centre.
    20. Leroi RAPUTSOANE, 2015. "Alternative Measures of Credit Extension for Countercyclical Buffer Decisions in South Africa," Turkish Economic Review, KSP Journals, vol. 2(4), pages 210-221, December.

    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:nzb:nzbbul:dec2013:03. 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: Reserve Bank of New Zealand Knowledge Centre (email available below). General contact details of provider: https://edirc.repec.org/data/rbngvnz.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.