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Modeling the COVID-19 effects on the Austrian economy and banking system

Author

Listed:
  • Martin Guth

    (Oesterreichische Nationalbank, Supervision Policy, Regulation and Strategy Division)

  • Christian Lipp

    (Oesterreichische Nationalbank, Supervision Policy, Regulation and Strategy Division)

  • Claus Puhr

    (Oesterreichische Nationalbank, Financial Markets Analysis and Surveillance Division)

  • Martin Schneider

    (Oesterreichische Nationalbank, Economic Analysis Divison)

Abstract

In response to the COVID-19 pandemic, many governments around the globe have imposed strict containment measures to prevent the further spreading of the virus. While saving lives, such lockdowns have also led to the largest peacetime economic shock since the Great Depression of the 1930s. To lessen the blow, governments have been complementing containment measures with mitigating measures. The latter serve to cushion both companies’ and households’ loss of revenue and income suffered during lockdowns, when nonessential economic activity has been suspended or cut to a minimum. In this paper, we only consider mitigating measures addressed to incorporated firms and banks. To assess the vulnerabilities of the Austrian economy and banking system, we follow a two-step approach. First, we have developed a novel model to assess the impact of both containment and mitigating measures on the real economy. This approach combines firm-level micro data from two different databases. To close remaining data gaps, we employ a Monte Carlo simulation to assess the effects of two scenarios based on the current OeNB economic forecast for Austria. We combine these scenarios capturing various policy reactions, i.e. mitigating measures, with firms’ solvency and liquidity positions and ultimately derive sectoral insolvency rates. Second, we use the OeNB’s top-down stress testing framework ARNIE to assess the COVID-19 impact on the banking system. Rather than employing large-scale regression models to derive risk parameters for credit risk, we infer default probabilities of banks’ credit exposure from the Austrian insolvency rates described above. Then, we extrapolate insolvency rates for domestic retail exposures and nondomestic exposures of the Austrian banking system. Here, we assume that individual industry sectors face similar challenges across countries and that country-specific GDP forecasts reflect the overall severity with which individual countries are affected by the pandemic. To this end, we draw on GDP forecasts by the ECB for countries other than Austria as well as country aggregates to calculate scaling factors based on the relative GDP-level deviation. We find that the mitigating measures up to end-August 2020, while effective, only partly offset the COVID-19-induced shock to Austrian firms and banks. They do, however, play an important role in lowering insolvency rates both on aggregate and in the hardest-hit sectors. As a side effect, the mitigating measures taken by the Austrian government and other institutions help improve the outlook for the Austrian banking system, which may benefit indirectly. Moreover, the top-down solvency stress test results show that the Austrian banking system – not only on an aggregate, but also on a disaggregate level – remains well capitalized despite the expected increase in insolvencies. At the time of publication, both COVID-19 containment and mitigating measures will have been extended, which calls into question some of the results of the paper. However, the main conclusion will nevertheless hold: only a substantial further deterioration of the COVID-19 pandemic could put the banking system in a difficult position.

Suggested Citation

  • Martin Guth & Christian Lipp & Claus Puhr & Martin Schneider, 2020. "Modeling the COVID-19 effects on the Austrian economy and banking system," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 40, pages 63-86.
  • Handle: RePEc:onb:oenbfs:y:2020:i:40:b:3
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    File URL: https://www.oenb.at/dam/jcr:72edc4bb-aab0-4593-aa2f-b102365c8c0a/06_FSR_40_Modeling_the_COVID-19_effects_.pdf
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    References listed on IDEAS

    as
    1. Mattia Guerini & Lionel Nesta & Xavier Ragot & Stefano Schiavo, 2020. "Dynamique des défaillances d’entreprises en France et crise de la Covid-19," Post-Print hal-03043893, HAL.
    2. Martin Feldkircher & Gerhard Fenz & Robert Ferstl & Gerald Krenn & Benjamin Neudorfer & Claus Puhr & Thomas Reininger & Stefan W. Schmitz & Martin Schneider & Christoph Siebenbrunner & Michael Sigmund, 2013. "ARNIE in Action: The 2013 FSAP Stress Tests for the Austrian Banking System," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 26, pages 100-118.
    3. Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
    4. Roberto Blanco & Sergio Mayordomo & Álvaro Menéndez & Maristela Mulino, 2020. "Spanish non-financial corporations’ liquidity needs and solvency after the covid-19 shock," Occasional Papers 2020, Banco de España.
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    Citations

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    Cited by:

    1. Stephan Fidesser & Andreas Greiner & Ines Ladurner & Zofia Mrazova & Christof Schweiger & Ralph Spitzer & Elisabeth Woschnagg, 2021. "COVID-19-related payment moratoria and public guarantees for loans – stocktaking and outlook," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 41, pages 77-88.
    2. Martin Guth & Jannika Hesse & Csilla Königswieser & Gerald Krenn & Christian Lipp & Benjamin Neudorfer & Martin Schneider & Philipp Weiss, 2021. "OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 42, pages 27-45.
    3. Csilla Königswieser & Benjamin Neudorfer & Martin Schneider, 2021. "Supplement to “OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector”," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 42.
    4. Claus Puhr & Martin Schneider, 2021. "Have mitigating measures helped prevent insolvencies in Austria amid the COVID-19 pandemic?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 77-110.

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    More about this item

    Keywords

    COVID-19; corporate insolvency; bank stress testing; quantitative policy modeling;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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