IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbops/2022301.html
   My bibliography  Save this paper

Looking at the evolution of macroprudential policy stance: A growth-at-risk experiment with a semi-structural model

Author

Listed:
  • Boucherie, Louis
  • Budnik, Katarzyna
  • Panos, Jiri

Abstract

This paper proposes a methodology for measuring the macroprudential policy stance based on a distance-to-tail metric perspective. This approach employs a large-scale semi-structural model reflecting the dynamics of 91 significant euro area banks and 19 euro area economies and is presented through an assessment of the stance evolution for the aggregate euro area economy and for the individual euro area countries. Our results uncover mild tightening of the macroprudential policy stance before the end of 2019. This trend is abruptly interrupted at the onset of the Covid-19 pandemic but reappears at the end of 2020 before picking up again over the first half of 2021. Our assessment also reveals a marginal impact of the macro-financial policies applied, which is particularly notable throughout 2020. JEL Classification: E37, E58, G21, G28

Suggested Citation

  • Boucherie, Louis & Budnik, Katarzyna & Panos, Jiri, 2022. "Looking at the evolution of macroprudential policy stance: A growth-at-risk experiment with a semi-structural model," Occasional Paper Series 301, European Central Bank.
    • Handle: RePEc:ecb:ecbops:2022301
    Note: 1355359
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpops/ecb.op301~6c8bc5751a.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Suarez, Javier, 2021. "Growth-at-risk and macroprudential policy design JEL Classification: G01, G20, G28," ESRB Occasional Paper Series 19, European Systemic Risk Board.
    2. Frank Smets, 2014. "Financial Stability and Monetary Policy: How Closely Interlinked?," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 263-300, June.
    3. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    4. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    5. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    6. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    7. Budnik, Katarzyna & Balatti, Mirco & Dimitrov, Ivan & Groß, Johannes & Kleemann, Michael & Reichenbachas, Tomas & Sanna, Francesco & Sarychev, Andrei & Siņenko, Nadežda & Volk, Matjaz, 2020. "Banking euro area stress test model," Working Paper Series 2469, European Central Bank.
    8. Budnik, Katarzyna & Dimitrov, Ivan & Groß, Johannes & Jančoková, Martina & Lampe, Max & Sorvillo, Bianca & Stular, Anze & Volk, Matjaz, 2021. "Policies in support of lending following the coronavirus (COVID 19) pandemic," Occasional Paper Series 257, European Central Bank.
    9. Katarzyna Budnik & Gerhard Rünstler, 2023. "Identifying structural VARs from sparse narrative instruments: Dynamic effects of US macroprudential policies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 186-201, March.
    10. Budnik, Katarzyna & Balatti, Mirco & Dimitrov, Ivan & Groß, Johannes & Hansen, Ib & Kleemann, Michael & Sanna, Francesco & Sarychev, Andrei & Siņenko, Nadežda & Volk, Matjaz & Covi, Giovanni & di Iasi, 2019. "Macroprudential stress test of the euro area banking system," Occasional Paper Series 226, European Central Bank.
    11. Mr. Luis Brandão-Marques & Mr. Gaston Gelos & Mr. Machiko Narita & Erlend Nier, 2020. "Leaning Against the Wind: A Cost-Benefit Analysis for an Integrated Policy Framework," IMF Working Papers 2020/123, International Monetary Fund.
    12. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    13. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    14. Budnik, Katarzyna & Dimitrov, Ivan & Giglio, Carla & Groß, Johannes & Lampe, Max & Sarychev, Andrei & Tarbé, Matthieu & Vagliano, Gianluca & Volk, Matjaz, 2021. "The growth-at-risk perspective on the system-wide impact of Basel III finalisation in the euro area," Occasional Paper Series 258, European Central Bank.
    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. Budnik, Katarzyna & Groß, Johannes & Vagliano, Gianluca & Dimitrov, Ivan & Lampe, Max & Panos, Jiri & Velasco, Sofia & Boucherie, Louis & Jančoková, Martina, 2023. "BEAST: A model for the assessment of system-wide risks and macroprudential policies," Working Paper Series 2855, European Central Bank.
    2. Tihana Skrinjaric & Maja Sabol, 2024. "Easier Said than Done: Predicting Downside Risks to House Prices in Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 74(1), pages 43-72, March.
    3. Tihana Škrinjarić, 2023. "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers 72, The Croatian National Bank, Croatia.
    4. Škrinjarić, Tihana, 2024. "Growth-at-risk for macroprudential policy stance assessment: a survey," Bank of England working papers 1075, Bank of England.

    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. Budnik, Katarzyna & Dimitrov, Ivan & Groß, Johannes & Kusmierczyk, Piotr & Lampe, Max & Vagliano, Gianluca & Volk, Matjaz, 2022. "The economic impact of the NPLcoverage expectations in the euro area," Occasional Paper Series 297, European Central Bank.
    2. Lewis, Vivien & Roth, Markus, 2019. "The financial market effects of the ECB's asset purchase programs," Journal of Financial Stability, Elsevier, vol. 43(C), pages 40-52.
    3. Budnik, Katarzyna & Groß, Johannes & Vagliano, Gianluca & Dimitrov, Ivan & Lampe, Max & Panos, Jiri & Velasco, Sofia & Boucherie, Louis & Jančoková, Martina, 2023. "BEAST: A model for the assessment of system-wide risks and macroprudential policies," Working Paper Series 2855, European Central Bank.
    4. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    5. Nuno Cassola & Christoffer Kok & Francesco Paolo Mongelli, 2019. "The ECB after the crisis: existing synergies among monetary policy, macroprudential policies and banking supervision," Working Papers 424, University of Milano-Bicocca, Department of Economics, revised Dec 2019.
    6. Cross, Jamie, 2019. "On the reduced macroeconomic volatility of the Australian economy: Good policy or good luck?," Economic Modelling, Elsevier, vol. 77(C), pages 174-186.
    7. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    8. Blot, Christophe & Creel, Jérôme & Hubert, Paul & Labondance, Fabien & Saraceno, Francesco, 2015. "Assessing the link between price and financial stability," Journal of Financial Stability, Elsevier, vol. 16(C), pages 71-88.
    9. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    10. Ayşegül Ladin SÜMER, 2020. "Optimal Taylor rule in the new era central banking perspective," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(622), S), pages 159-170, Spring.
    11. Pär Stockhammar & Pär Österholm, 2018. "Do inflation expectations granger cause inflation?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(2), pages 403-431, August.
    12. Esteban Prieto & Sandra Eickmeier & Massimiliano Marcellino, 2016. "Time Variation in Macro‐Financial Linkages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1215-1233, November.
    13. Ugo Albertazzi & Andrea Nobili & Federico M. Signoretti, 2021. "The Bank Lending Channel of Conventional and Unconventional Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 261-299, March.
    14. Shen, Chung-Hua & Lin, Kun-Li & Guo, Na, 2016. "Hawk or dove: Switching regression model for the monetary policy reaction function in China," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 94-111.
    15. Antonello D'Agostino & Caterina Mendicino & Federico Puglisi, 2022. "Expectation‐Driven Cycles and the Changing Dynamics of Unemployment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 2173-2191, October.
    16. Dibartolomeo, Giovanni & Rossi, Lorenza & Tancioni, Massimiliano, 2004. "Monetary Policy under Rule-of-Thumb Consumers and External Habits: An International Empirical Comparison," MPRA Paper 1094, University Library of Munich, Germany, revised Jun 2006.
    17. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
    18. Florin O. Bilbiie & Roland Straub, 2013. "Asset Market Participation, Monetary Policy Rules, and the Great Inflation," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 377-392, May.
    19. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.

    More about this item

    Keywords

    distance-to-tail metric; growth-at-Risk; lending-at-Risk; macroprudential policy; macroprudential policy stance;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:ecbops:2022301. 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.