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Identifying indicators of systemic risk

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  • Hartwig, Benny
  • Meinerding, Christoph
  • Schüler, Yves S.

Abstract

We operationalize the definition of systemic risk provided by the IMF, BIS, and FSB and derive a two-stage hierarchical hypothesis test to identify indicators of systemic risk. Applying the framework to a set of candidate variables for 45 countries, we detect two credit-based financial cycle variables that, by and large, pass our test. However, for many other variables, including the Basel III credit-to-GDP gap, we find that elevated systemic risk is signaled by high values in some countries and by low values in others. More generally, our results suggest that, ex ante, systemic risk can be clearly identified only once the turning points of indicators have been observed.

Suggested Citation

  • Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:inecon:v:132:y:2021:i:c:s0022199621000921
    DOI: 10.1016/j.jinteco.2021.103512
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    5. Bochmann, Paul & Hiebert, Paul & Schüler, Yves S. & Segoviano, Miguel, 2022. "Latent fragility: conditioning banks’ joint probability of default on the financial cycle," Working Paper Series 2698, European Central Bank.

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    Keywords

    Systemic risk; Macroprudential regulation; Forecasting; Growth-at-risk; Financial cycles;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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