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Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment

Author

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  • Jean-Stéphane Mésonnier
  • Dalibor Stevanovic

Abstract

The recent crisis has revealed the potentially dramatic consequences of allowing the build-up of an overstretched leverage of the financial system, and prompted proposals by bank supervisors to significantly tighten bank capital requirements as part of the new Basel 3 regulations. Although these proposals have been fiercely debated ever since, the empirical question of the macroeconomic consequences of shocks to banks’ leverage, be they policy induced or not, remains still largely unsettled. In this paper, we aim to overcome some longstanding identification issues hampering such assessments and propose a new approach based on a data-rich environment at both the micro (bank) level and the macro level, using a combination of bank panel regressions and macroeconomic factor models. We first identify bank leverage shocks at the micro level and aggregate them to an economy-wide measure. We then compute impulse responses of a large array of macroeconomic indicators to our aggregate bank leverage shock, using the new methodology developed by Ng and Stevanovic (2012). We find significant and robust evidence of a contractionary impact of an unexpected shock reducing the leverage of large banks.

Suggested Citation

  • Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2013. "Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment," Cahiers de recherche 1330, CIRPEE.
  • Handle: RePEc:lvl:lacicr:1330
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    References listed on IDEAS

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    Cited by:

    1. Kok, Christoffer & Gross, Marco & Żochowski, Dawid, 2016. "The impact of bank capital on economic activity - evidence from a mixed-cross-section GVAR model," Working Paper Series 1888, European Central Bank.
    2. Barthélemy, J. & Marx, M., 2012. "Generalizing the Taylor Principle: New Comment," Working papers 403, Banque de France.
    3. Alessandro Barattieri & Maya Eden & Dalibor Stevanovic, 2013. "The Connection between Wall Street and Main Street: Measurement and Implications for Monetary Policy," CIRANO Working Papers 2013s-31, CIRANO.
    4. Peltonen, Tuomas A. & Gross, Marco & Behn, Markus, 2016. "Assessing the costs and benefits of capital-based macroprudential policy," Working Paper Series 1935, European Central Bank.

    More about this item

    Keywords

    Bank capital ratios; macroeconomic fluctuations; panel; dynamic factor models;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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