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Systemic risks of commercial real estate funding in Austria

Author

Listed:
  • David Liebeg

    (Oesterreichische Nationalbank, Financial Markets Analysis and Surveillance Division)

  • Maximilian Liegler

    (Oesterreichische Nationalbank)

Abstract

Commercial real estate (CRE) has come under increasing scrutiny by macroprudential as well as microprudential authorities. Our policy paper is embedded in macroprudential policymaking in Austria and informs market participants on the current state of play. In Austria, bank loans account for the majority of CRE exposures. Furthermore, Austrian banks are more exposed to CRE than banks in other EU banking markets. The growth of aggregate CRE lending to domestic borrowers is elevated, although most Austrian banks remain below critical thresholds. A large share of CRE loans in Austria is undercollateralized and at the same time exhibits high loan-to-value (LTV) ratios. Furthermore, the Austrian banking sector’s high exposure to just a few CRE borrowers combined with below-average ratings of CRE loans warrants the heightened attention of both banks and supervisors. However, rating migrations have so far not shown critical patterns. Research is under way to investigate the reasons behind high LTV and loan-to-collateral ratios, the impact of higher interest rates and/or an economic downturn on CRE market valuations, the adequacy of loan pricing and risk provisions, improvements of borrower-based indicators and the impact of climate risks and decarbonization.

Suggested Citation

  • David Liebeg & Maximilian Liegler, 2022. "Systemic risks of commercial real estate funding in Austria," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 44, pages 45-67.
    • Handle: RePEc:onb:oenbfs:y:2022:i:44:b:2
    as

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    References listed on IDEAS

    as
    1. Yu Gan & Tianzhu Zhang & Sai Liang & Zhongnan Zhao & Nan Li, 2013. "How to Deal with Resource Productivity," Journal of Industrial Ecology, Yale University, vol. 17(3), pages 440-451, June.
    2. Davis, E. Philip & Zhu, Haibin, 2011. "Bank lending and commercial property cycles: Some cross-country evidence," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 1-21, February.
    3. Luci Ellis & Chris Naughtin, 2010. "Commercial Property and Financial Stability - An International Perspective," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 25-30, June.
    4. Andrea Deghi & Mr. Junghwan Mok & Tomohiro Tsuruga, 2021. "Commercial Real Estate and Macrofinancial Stability During COVID-19," IMF Working Papers 2021/264, International Monetary Fund.
    5. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    6. Jan Reinert, 2021. "Valuation accuracy of external and internal property valuations in Germany," Journal of Property Research, Taylor & Francis Journals, vol. 38(4), pages 337-354, October.
    7. Bank for International Settlements, 2022. "Private sector debt and financial stability," CGFS Papers, Bank for International Settlements, number 67, december.
    8. Helen Fessenden & Catherine Muething, 2017. "Understanding the Surge in Commercial Real Estate Lending," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
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    More about this item

    Keywords

    commercial real estate; systemic risk; macroprudential supervision;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • 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
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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