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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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    Cited by:

    1. Jiang, Shanshan & Ju, Xin & Meng, Lingyi & Wang, Jie, 2025. "The risk contagion mechanism of shadow banking with dynamic network correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    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. Kaldorf, Matthias & Rottner, Matthias, 2024. "Climate Minsky Moments and endogenous financial crises," Discussion Papers 26/2024, Deutsche Bundesbank.
    4. Hongjie Pan & Hong Fan, 2024. "Systemic Risk Arising from Shadow Banking and Sustainable Development: A Study of Wealth Management Products in China," Sustainability, MDPI, vol. 16(10), pages 1-26, May.
    5. Bianchi, Francesco & Melosi, Leonardo & Rottner, Matthias, 2021. "Hitting the elusive inflation target," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 107-122.
    6. di Iasio, Giovanni & Kaufmann, Christoph & Wicknig, Florian, 2022. "Macroprudential regulation of investment funds," Working Paper Series 2695, European Central Bank.
    7. Croicu Andreea-Elena & Călin Adrian Cantemir, 2024. "Reconceptualizing Stability: Dynamics of Shadow Banking in Financial Markets," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1385-1397.
    8. Kase, Hanno & Melosi, Leonardo & Rottner, Matthias, 2022. "Estimating Nonlinear Heterogeneous Agents Models with Neural Networks," CEPR Discussion Papers 17391, C.E.P.R. Discussion Papers.
    9. Darracq Pariès, Matthieu & Kok, Christoffer & Rottner, Matthias, 2023. "Reversal interest rate and macroprudential policy," European Economic Review, Elsevier, vol. 159(C).
    10. Lei, Ningze & Huang, Liqiang, 2023. "Corporate financing from shadow banking and bond credit spreads," Finance Research Letters, Elsevier, vol. 58(PB).

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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