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Identifying early warning indicators for real estate-related banking crises

Author

Listed:
  • Stijn Ferrari
  • Mara Pirovano
  • Wanda Cornacchia

Abstract

This Occasional Paper presents a formal statistical evaluation of potential early warning indicators for real estate-related banking crises. Relying on data on real estate-related banking crises for 25 EU countries, a signalling approach is applied in both a non-parametric and a parametric (discrete choice) setting. Such an analysis evaluates the predictive power of potential early warning indicators on the basis of the trade-off between correctly predicting upcoming crisis events and issuing false alarms. The results in this paper provide an analytical underpinning for decision-making based on guided discretion with regard to the activation of macro-prudential instruments targeted to the real estate sector. After the publication of the ESRB Handbook and the Occasional Paper on the countercyclical capital buffer, it represents a next step in the ESRB’s work on the operationalisation of macroprudential policy in the banking sector. This Occasional Paper highlights the important role of both real estate price variables and credit developments in predicting real estate-related banking crises. The results indicate that, in addition to cyclical developments in these variables, it is crucial to monitor the structural dimension of real estate prices and credit. In multivariate settings macroeconomic and market variables such as the inflation rate and short-term interest rates may add to the early warning performance of these variables. Overall, the findings indicate that combining multiple variables improves early warning signalling performance compared with assessing each indicator separately, both in the non-parametric and the parametric approach. Combinations of the abovementioned indicators lead to lower probabilities of missing crises while at the same time not issuing too many false alarms. In addition to EU level, they also perform relatively well at individual country level. Even though the best performing indicators have relatively good signalling abilities at the individual country level, national authorities are encouraged to perform their own complementary analyses in abroader framework of systemic risk detection, which augments potential early warning indicators and methods with other relevant inputs and expert judgement. JEL Classification: G21, G18, E58

Suggested Citation

  • Stijn Ferrari & Mara Pirovano & Wanda Cornacchia, 2015. "Identifying early warning indicators for real estate-related banking crises," ESRB Occasional Paper Series 08, European Systemic Risk Board.
  • Handle: RePEc:srk:srkops:201508
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    References listed on IDEAS

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    Cited by:

    1. Kalatie, Simo & Laakkonen, Helinä & Tölö, Eero, 2015. "Indicators used in setting the countercyclical capital buffer," Bank of Finland Research Discussion Papers 8/2015, Bank of Finland.
    2. Federica Ciocchetta & Wanda Cornacchia, 2019. "Assessing financial stability risks from the real estate market in Italy: an update," Questioni di Economia e Finanza (Occasional Papers) 493, Bank of Italy, Economic Research and International Relations Area.
    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. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2016. "Use of unit root methods in early warning of financial crises," Bank of Finland Research Discussion Papers 27/2016, Bank of Finland.
    5. Bruno De Backer & Hans Dewachter & Stijn Ferrari & Mara Pirovano & Christophe Van Nieuwenhuyze, 2016. "Credit gaps in Belgium : identification, characteristics and lessons for macroprudential policy," Financial Stability Review, National Bank of Belgium, vol. 14(1), pages 153-170, June.
    6. Federica Ciocchetta & Wanda Cornacchia & Roberto Felici & Michele Loberto, 2016. "Assessing financial stability risks from the real estate market in Italy," Questioni di Economia e Finanza (Occasional Papers) 323, Bank of Italy, Economic Research and International Relations Area.
    7. 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.
    8. Di Filippo, Gabriele, 2017. "What Drives Gross Flows in Equity and Investment Fund Shares in Luxembourg?," MPRA Paper 84200, University Library of Munich, Germany, revised 26 Jan 2018.
    9. Magdalena Grothe, 2020. "Monitoring Vulnerabilities in the Residential Real Estate Sector in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 5-24.
    10. 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.
    11. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.
    12. Efthymios Pavlidis & Ivan Paya & Alexandros Skouralis, 2021. "House prices, (un)affordability and systemic risk," New Zealand Economic Papers, Taylor & Francis Journals, vol. 55(1), pages 105-123, January.
    13. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    14. Samo Boh & Stefano Borgioli & Andra (Buca) Coman & Bogdan Chiriacescu & Anne Koban & Joao Veiga & Piotr Kusmierczyk & Mara Pirovano & Thomas Schepens, 2017. "European Macroprudential Database," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.
    15. Stijn Ferrari & Mara Pirovano, 2016. "Does one size fit all at all times? The role of country specificities and state dependencies in predicting banking crises," Working Paper Research 297, National Bank of Belgium.
    16. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
    17. P. Reusens & Ch. Warisse, 2018. "House prices and economic growth in Belgium," Economic Review, National Bank of Belgium, issue iv, pages 81-106, december.

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    More about this item

    Keywords

    early warning indicators; real estate; banking crises;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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