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Shadow banking and financial regulation: A small-scale DSGE perspective

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  • Fève, Patrick
  • Moura, Alban
  • Pierrard, Olivier

Abstract

This paper estimates a small-scale DSGE model of the US economy with interacting traditional and shadow banks. We find that shadow banks amplify the transmission of structural shocks by helping escape constraints from traditional intermediaries. We show how this leakage toward shadow entities reduces the ability of macro-prudential policies targeting traditional credit to reduce economic volatility. A counterfactual experiment suggests that a countercyclical capital buffer, if applied only to traditional banks, would have in fact amplified the boom-bust cycle associated with the financial crisis of 2007–2008. On the other hand, a broader regulation scheme targeting both traditional and shadow credit would have helped stabilize the economy.

Suggested Citation

  • Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2019. "Shadow banking and financial regulation: A small-scale DSGE perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 130-144.
  • Handle: RePEc:eee:dyncon:v:101:y:2019:i:c:p:130-144
    DOI: 10.1016/j.jedc.2019.02.001
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Financial Regulation and Shadow Banking: A Small-Scale DSGE Perspective
      by Christian Zimmermann in NEP-DGE blog on 2017-09-13 21:32:40

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    2. Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2019. "Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model," TSE Working Papers 19-996, Toulouse School of Economics (TSE).
    3. Emmanuel Farhi & Jean Tirole, 2017. "Shadow Banking and the Four Pillars of Traditional Financial Intermediation," NBER Working Papers 23930, National Bureau of Economic Research, Inc.
    4. Stefan Gebauer & Falk Mazelis, 2019. "Macroprudential Regulation and Leakage to the Shadow Banking Sector," Discussion Papers of DIW Berlin 1814, DIW Berlin, German Institute for Economic Research.
    5. An, Hui & Yang, Ruibo & Ma, Xuejiao & Zhang, Siqi & Islam, Sardar M.N., 2021. "An evolutionary game theory model for the inter-relationships between financial regulation and financial innovation," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    6. Yang, Liu & van Wijnbergen, S. & Qi, Xiaotong & Yi, Yuhuan, 2019. "Chinese shadow banking, financial regulation and effectiveness of monetary policy," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    7. Donadelli, Michael & Jüppner, Marcus & Prosperi, Lorenzo, 2019. "Risk weighting, private lending and macroeconomic dynamics," Discussion Papers 30/2019, Deutsche Bundesbank.
    8. Kirchner Philipp, 2020. "On Shadow Banking and Financial Frictions in DSGE Modeling," Review of Economics, De Gruyter, vol. 71(2), pages 101-133, August.
    9. Gebauer, Stefan & Mazelis, Falk, 2018. "The Role of Shadow Banking for Financial Regulation," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181581, Verein für Socialpolitik / German Economic Association.
    10. Philipp Kirchner & Benjamin Schwanebeck, 2020. "Shadow banking and the design of macroprudential policy in a monetary union," MAGKS Papers on Economics 202024, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Olatunji Abdul Shobande & Oladimeji Tomiwa Shodipe, 2021. "Monetary Policy Interdependency in Fisher Effect: A Comparative Evidence," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(1), pages 203-226.
    12. Financial Stability Committee, Task Force on cross-border Spillover Effects of macroprudential measures & Kok, Christoffer & Reinhardt, Dennis, 2020. "Cross-border spillover effects of macroprudential policies: a conceptual framework," Occasional Paper Series 242, European Central Bank.

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    More about this item

    Keywords

    Shadow banking; DSGE models; macro-prudential policy;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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