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Deciphering the Libor and Euribor Spreads during the subprime crisis

Author

Listed:
  • Loriana Pelizzon

    (Department of Economics, University of Venice C� Foscari)

  • Domenico Sartore

    (Department of Economics, University of Venice C� Foscari)

Abstract

This paper investigates the key role played by different factors, such as the use of Asset Backed Commercial Paper as collaterals in the short-term debt market, credit risk and the injection of liquidity by Central Banks through so-called unconventional measures, on the persistent spread during the subprime crisis bet. The empirical analysis shows that, in addition to credit risk, a relevant variable for explaining the interbank rate dynamics is the outstanding volume in the Asset Backed Commercial Paper market. In short, the large spread observed in the market is explained by the inter-relationship between collateralized short-term debt markets and the unsecured interbank market. It is also shown that Central Bank "non-conventional" intervention variables are relevant in affecting the spread both in the long-run but mostly in the short-run.

Suggested Citation

  • Loriana Pelizzon & Domenico Sartore, 2013. "Deciphering the Libor and Euribor Spreads during the subprime crisis," Working Papers 2013: 14, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2013:14
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    References listed on IDEAS

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    Cited by:

    1. Flavin, Thomas J. & Sheenan, Lisa, 2015. "The role of U.S. subprime mortgage-backed assets in propagating the crisis: Contagion or interdependence?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 167-186.
    2. Rodríguez-López, Araceli & Fernández-Abascal, Hermenegildo & Maté-García, Jorge-Julio & Rodríguez-Fernández, José-Miguel & Rojo-García, José-Luis & Sanz-Gómez, José-Antonio, 2021. "Evaluating Euribor Manipulation: Effects on Mortgage Borrowers," Finance Research Letters, Elsevier, vol. 40(C).
    3. Chia-Lin Chang & Allen, David & McAleer, Michael, 2013. "Recent developments in financial economics and econometrics: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 217-226.
    4. Xun Huang & Fanyong Guo, 2021. "A kernel fuzzy twin SVM model for early warning systems of extreme financial risks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1459-1468, January.

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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