IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/26709.html
   My bibliography  Save this paper

Bank interest rates pass-through: new evidence from French panel data

Author

Listed:
  • Frappa, Sebastien
  • Murez, Michèle
  • Montornès, Jérémi
  • Barbier de la Serre, Anne

Abstract

This paper investigates the pass-through mechanism from market interest rates to bank interest rates using a panel of French banks based on new interest rates statistics. The data are extracted from new individual contracts, on a monthly basis for the three main sectors of the credit market (consumers loans, mortgage loans and loans to enterprises) from January 2003 to July 2007. The pass-through is estimated using recent econometric methods on non-stationary panel data. In contrast to previous studies, cross-sectional dependence among banks is allowed. Our results confirm that bank rates for loans to enterprises and mortgage loans do not adjust completely to changes in market rates, even in the long run. The model also captures the narrowing of the intermediation margin during the period considered.

Suggested Citation

  • Frappa, Sebastien & Murez, Michèle & Montornès, Jérémi & Barbier de la Serre, Anne, 2008. "Bank interest rates pass-through: new evidence from French panel data," MPRA Paper 26709, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:26709
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/26709/1/MPRA_paper_26709.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    3. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    4. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    5. Gambacorta, Leonardo, 2008. "How do banks set interest rates?," European Economic Review, Elsevier, vol. 52(5), pages 792-819, July.
    6. Coffinet, J., 2005. "Politique monétaire unique et canal des taux d’intérêt en France et dans la zone euro," Bulletin de la Banque de France, Banque de France, issue 136, pages 29-40.
    7. De Graeve, Ferre & De Jonghe, Olivier & Vennet, Rudi Vander, 2007. "Competition, transmission and bank pricing policies: Evidence from Belgian loan and deposit markets," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 259-278, January.
    8. Laurent Baumel & Patrick Sevestre, 2000. "La relation entre le taux des crédits et le coût des ressources bancaires. Modélisation et estimation sur données individuelles de banques," Annals of Economics and Statistics, GENES, issue 59, pages 199-226.
    9. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, January.
    10. Mojon, Benoît, 2000. "Financial structure and the interest rate channel of ECB monetary policy," Working Paper Series 0040, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anindya Banerjee & Victor Bystrov & Paul Mizen, "undated". "Interest rate Pass-Through in the Major European Economies - The Role of Expectations," Discussion Papers 10/03, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    2. Apergis, Nicholas & Cooray, Arusha, 2015. "Asymmetric interest rate pass-through in the U.S., the U.K. and Australia: New evidence from selected individual banks," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 155-172.
    3. Anindya Banerjee & Victor Bystrov & Paul Mizen, 2013. "How Do Anticipated Changes to Short‐Term Market Rates Influence Banks' Retail Interest Rates? Evidence from the Four Major Euro Area Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(7), pages 1375-1414, October.

    More about this item

    Keywords

    transmission mechanism of monetary policy; nonstationary panel data; cross-section dependence;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:26709. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.