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Capturing macroprudential regulation effectiveness: a DSGE approach with shadow intermediaries

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  • Federico Lubello
  • Abdelaziz Rouabah

Abstract

Shadow intermediaries activities have registered a spectacular increase during the last decades. Recently, their market shares have rapidly been gaining momentum partially due to “regulatory arbitrage". Although their centrality to the credit boom in the early 2000s and to the collapse during the financial crisis of 2007-2009 is widely documented, the number of contributions studying the implications on the real economy and the underlying transmission mechanisms is surprisingly limited. We contribute to filling this gap and devise a new DSGE model whose productive sector captures key characteristics of the European economy by accounting for small and large firms vertically linked in a production chain. The adopted framework includes commercial banks and shadow financial intermediaries directly interconnected in the interbank market with specific and differentiated channels of financing to the real economy. The framework also incorporates moral hazard for commercial banks which, together with regulatory arbitrage, might bring further incentives for banks to securitize part of their assets. An attempt to incorporate macroprudential policy is considered through the implementation of capital requirements and caps to securitization in the traditional banking sector. The results show that the complementarity of such tools devised by a macroprudential authority can be effective in dampening aggregate volatility and safeguarding financial stability.
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Suggested Citation

  • Federico Lubello & Abdelaziz Rouabah, 2019. "Capturing macroprudential regulation effectiveness: a DSGE approach with shadow intermediaries," Revista de Estabilidad Financiera, Banco de España, issue Otoño.
  • Handle: RePEc:bde:revist:y:2019:i:11:n:6
    Note: 37
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    1. Ibrahima Sangaré, 2019. "Housing sector and optimal macroprudential policy in an estimated DSGE model for Luxembourg," BCL working papers 129, Central Bank of Luxembourg.

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    More about this item

    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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