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Banks’ liquidity transformation rate: determinants and impact on lending

Author

Listed:
  • Raffaele Lenzi

    (Bank of Italy)

  • Stefano Nobili

    (Bank of Italy)

  • Filippo Perazzoli

    (Bank of Italy)

  • Rosario Romeo

    (Bank of Italy)

Abstract

Policy evaluation based on the estimation of dynamic stochastic general equilibrium models with aggregate macroeconomic time series rests on the assumption that a representative agent can be identified, whose behavioural parameters are independent of the policy rules. Building on earlier work by Geweke, the main goal of this paper is to show that the representative agent is in general not structural, in the sense that its estimated behavioural parameters are not policyindependent. The paper identifies two different sources of nonstructurality. The latter is shown to be a fairly general feature of optimizing representative agent rational expectations models estimated on macroeconomic data.

Suggested Citation

  • Raffaele Lenzi & Stefano Nobili & Filippo Perazzoli & Rosario Romeo, 2023. "Banks’ liquidity transformation rate: determinants and impact on lending," Temi di discussione (Economic working papers) 32, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:misp_032_23
    as

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    File URL: https://www.bancaditalia.it/pubblicazioni/mercati-infrastrutture-e-sistemi-di-pagamento/approfondimenti/2023-032/N.32-MISP.pdf
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    References listed on IDEAS

    as
    1. Kedan, Danielle & Veghazy, Alexia Ventula, 2021. "The implications of liquidity regulation for monetary policy implementation and the central bank balance sheet size: an empirical analysis of the euro area," Working Paper Series 2515, European Central Bank.
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    5. Calebe de Roure & Nick McLaren, 2021. "Liquidity transformation, collateral assets and counterparties," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 21(4), pages 119-129.
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    8. Jean Barthélémy & Vincent Bignon & Benoît Nguyen, 2017. "Monetary policy, illiquid collateral and bank lending during the European sovereign debt crisis," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 494-495-4, pages 111-130.
    9. Nyborg, Kjell G., 2017. "Central bank collateral frameworks," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 198-214.
    10. Schmidt, Kirsten, 2019. "Does liquidity regulation impede the liquidity profile of collateral?," Working Paper Series 2256, European Central Bank.
    11. Jung-Hyun Ahn & Vincent Bignon & Régis Breton & Antoine Martin, 2016. "Liquidity, Collateral Quality, and Negative Interest Rate," Staff Reports 763, Federal Reserve Bank of New York.
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    13. Gocheva, Viktoriya & Mudde, Yvo & Tapking, Jens, 2022. "Liquidity coverage ratios and monetary policy credit in the time of Corona," Working Paper Series 2668, European Central Bank.
    14. repec:prs:ecstat:estat_0336-1454_2017_num_494_1_10784 is not listed on IDEAS
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Liquidity transformation rate; Liquidity Coverage Ratio; central bank credit operations; collateral assets; Covid-19 pandemic; loans;
    All these keywords.

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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