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Financial Crises and Shadow Banks: A Quantitative Analysis

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  • Matthias Rottner

Abstract

Motivated by the build-up of shadow bank leverage prior to the Great Recession, I develop a nonlinear macroeconomic model that features excessive leverage accumulation and show how this can cause a bank run. Introducing risk-shifting incentives to account for fluctuations in shadow bank leverage, I use the model to illustrate that extensive leverage makes the shadow banking system runnable, thereby raising the vulnerability of the economy to future financial crises. The model is taken to U.S. data with the objective of estimating the probability of a run in the years preceding the financial crisis of 2007-2008. According to the model, the estimated risk of a bank run was already considerable in 2004 and kept increasing due to the upsurge in leverage. I show that levying a leverage tax on shadow banks would have substantially lowered the probability of a bank run. Finally, I present reduced-form evidence that supports the tight link between leverage and the possibility of financial crises.

Suggested Citation

  • Matthias Rottner, 2021. "Financial Crises and Shadow Banks: A Quantitative Analysis," Economics Working Papers EUI ECO 2021/02, European University Institute.
  • Handle: RePEc:eui:euiwps:eco2021/02
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    Citations

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    Cited by:

    1. Bianchi, Francesco & Melosi, Leonardo & Rottner, Matthias, 2021. "Hitting the elusive inflation target," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 107-122.
    2. James Mitchell & Aubrey Poon & Dan Zhu, 2024. "Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 790-812, August.
    3. di Iasio, Giovanni & Kaufmann, Christoph & Wicknig, Florian, 2022. "Macroprudential regulation of investment funds," Working Paper Series 2695, European Central Bank.

    More about this item

    Keywords

    Financial crises; Shadow banks; Leverage; Credit booms; Bank runs;
    All these keywords.

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