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The collateral channel of open market operations

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  • Cassola, Nuno
  • Koulischer, François

Abstract

We propose a model of collateral choice by banks to quantify how changes in the haircut policy of the central bank affect the collateral used by banks and the funding cost of banks. We estimate the model using data on assets pledged to the European Central Bank from 2009 to 2011. Our results suggest that an increase in the haircut on low rated collateral by 5 percentage points would have reduced the use of this collateral by 10% but would have increased the average funding cost spread between high yield and low yield countries by 5% over our sample period.

Suggested Citation

  • Cassola, Nuno & Koulischer, François, 2019. "The collateral channel of open market operations," Journal of Financial Stability, Elsevier, vol. 41(C), pages 73-90.
    • Handle: RePEc:eee:finsta:v:41:y:2019:i:c:p:73-90
    DOI: 10.1016/j.jfs.2019.03.002
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    Cited by:

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    2. Bindseil, Ulrich & Corsi, Marco & Sahel, Benjamin & Visser, Ad, 2017. "The Eurosystem collateral framework explained," Occasional Paper Series 189, European Central Bank.
    3. Pelizzon, Loriana & Riedel, Max & Simon, Zorka & Subrahmanyam, Marti G., 2020. "Collateral eligibility of corporate debt in the Eurosystem," SAFE Working Paper Series 275, Leibniz Institute for Financial Research SAFE.
    4. Hasan, Iftekhar & He, Qing & Lu, Haitian, 2020. "The impact of social capital on economic attitudes and outcomes," Journal of International Money and Finance, Elsevier, vol. 108(C).
    5. George Pantelopoulos, 2021. "Can Central Banks circumvent the impossible trinity within their operational frameworks? Theory and evidence," The World Economy, Wiley Blackwell, vol. 44(7), pages 2041-2075, July.
    6. Bank for International Settlements, 2019. "Unconventional monetary policy tools: a cross-country analysis," CGFS Papers, Bank for International Settlements, number 63, december.
    7. Kaldorf, Matthias & Wicknig, Florian, 2021. "Risky Financial Collateral, Firm Heterogeneity, and the Impact of Eligibility Requirements," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242413, Verein für Socialpolitik / German Economic Association.
    8. Qi, Qianru & Wang, Jing, 2021. "Debt structure instability using machine learning," Journal of Financial Stability, Elsevier, vol. 57(C).
    9. Schmidt, Kirsten, 2019. "Does liquidity regulation impede the liquidity profile of collateral?," Working Paper Series 2256, European Central Bank.
    10. Vergote, Olivier & Sugo, Tomohiro, 2020. "Who takes the ECB’s targeted funding?," Working Paper Series 2439, European Central Bank.
    11. Kazuhiro Takino, 2022. "The impact of non-cash collateralization on the over-the-counter derivatives markets," Review of Derivatives Research, Springer, vol. 25(2), pages 137-171, July.
    12. Arismendi-Zambrano, Juan & Belitsky, Vladimir & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2022. "The implications of dependence, tail dependence, and bounds’ measures for counterparty credit risk pricing," Journal of Financial Stability, Elsevier, vol. 58(C).

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    More about this item

    Keywords

    Collateral; Haircut; Central Bank; Money market;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G01 - Financial Economics - - General - - - Financial Crises
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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