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Melting down: Systemic financial instability and the macroeconomy

Author

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  • Hartmann, Philipp
  • Hubrich, Kirstin
  • Kremer, Manfred
  • Tetlow, Robert J.

Abstract

We integrate systemic financial instability in an empirical macroeconomic model for the euro area. We find that at times of widespread financial instability the macroeconomy functions fundamentally differently from tranquil times. We employ a richly specified Markov-Switching Vectorautoregression model to capture the dynamic relationships between a set of core macroeconomic variables and a novel indicator of systemic financial stress. Both the parameters that capture the transmission of shocks through the economy and the variances of the shocks change at times of high stress in the financial system. In particular, the negative output effects of sizeable increases in financial stress are much larger after such a regime change than during tranquil times. Macroprudential and monetary policy makers are well advised to take these nonlinearities into account.

Suggested Citation

  • Hartmann, Philipp & Hubrich, Kirstin & Kremer, Manfred & Tetlow, Robert J., 2013. "Melting down: Systemic financial instability and the macroeconomy," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80487, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc13:80487
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    References listed on IDEAS

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    Cited by:

    1. Silvestrini, Andrea & Zaghini, Andrea, 2015. "Financial shocks and the real economy in a nonlinear world: From theory to estimation," Journal of Policy Modeling, Elsevier, pages 915-929.
    2. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    3. Galvão, Ana B. & Owyang, Michael T., 2014. "Financial stress regimes and the macroeconomy," Working Papers 2014-20, Federal Reserve Bank of St. Louis, revised 01 Dec 2016.
    4. Tomas Adam & Miroslav Plasil, 2014. "The Impact of Financial Variables on Czech Macroeconomic Developments: An Empirical Investigation," Working Papers 2014/11, Czech National Bank, Research Department.
    5. Bijsterbosch, Martin & Guérin, Pierre, 2013. "Characterizing very high uncertainty episodes," Economics Letters, Elsevier, vol. 121(2), pages 239-243.
    6. Duprey, Thibaut & Klaus, Benjamin, 2017. "How to predict financial stress? An assessment of Markov switching models," Working Paper Series 2057, European Central Bank.
    7. Duprey, Thibaut & Klaus, Benjamin & Peltonen, Tuomas, 2017. "Dating systemic financial stress episodes in the EU countries," Journal of Financial Stability, Elsevier, pages 30-56.
    8. Hiona Balfoussia & Heather D. Gibson, 2016. "Financial conditions and economic activity: the potential impact of the targeted long-term refinancing operations (TLTROs)," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 449-456, April.

    More about this item

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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