IDEAS home Printed from https://ideas.repec.org/p/ris/eibefr/2009_001.html
   My bibliography  Save this paper

EFR 2009-01 A factor analysis approach to measuring European loan and bond market integration

Author

Listed:
  • Wagenvoort, Rien

    () (European Investment Bank, Economic and Financial Studies)

  • Ebner, André

    (Munich Graduate School of Economics)

  • Morgese Borys, Magdalena

    (University La Sapienza)

Abstract

By using an existing and a new convergence measure, this paper assesses whether bank loan and bond interest rates are converging for the non-financial corporate sector across the euro area. Whilst we find evidence for complete bond market integration, the market for bank loans remains segmented, albeit to various degrees depending on the type and size of the loan. Factor analysis reveals that rates on large loans and small loans with long rate fixation periods have weakly converged in the sense that, up to a fixed effect, their evolution is driven by common factors only. In contrast, the price evolution of small loans with short rate fixation periods is still affected by country-specific dynamic factors. There are few signs that bank loan rates are becoming more uniform with time.

Suggested Citation

  • Wagenvoort, Rien & Ebner, André & Morgese Borys, Magdalena, 2009. "EFR 2009-01 A factor analysis approach to measuring European loan and bond market integration," Economic and Financial Reports 2009/1, European Investment Bank, Economics Department.
  • Handle: RePEc:ris:eibefr:2009_001
    as

    Download full text from publisher

    File URL: http://www.eib.org/attachments/efs/efr_2009_v01_en.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Michiel van Leuvensteijn & Christoffer Kok Sørensen & Jacob A. Bikker & Adrian A.R.J.M. van Rixtel, 2013. "Impact of bank competition on the interest rate pass-through in the euro area," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1359-1380, April.
    2. Reint Gropp & Anil K Kashyap, 2010. "A New Metric for Banking Integration in Europe," NBER Chapters,in: Europe and the Euro, pages 219-246 National Bureau of Economic Research, Inc.
    3. Wagenvoort, Rien, 2003. "Are finance constraints hindering the growth of SMEs in Europe?," EIB Papers 7/2003, European Investment Bank, Economics Department.
    4. Schure, Paul & Wagenvoort, Rien & O'Brien, Dermot, 2004. "The efficiency and the conduct of European banks: Developments after 1992," Review of Financial Economics, Elsevier, vol. 13(4), pages 371-396.
    5. Casu, Barbara & Girardone, Claudia & Molyneux, Philip, 2004. "Productivity change in European banking: A comparison of parametric and non-parametric approaches," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2521-2540, October.
    6. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    7. Robert E. Carpenter & Bruce C. Petersen, 2002. "Is The Growth Of Small Firms Constrained By Internal Finance?," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 298-309, May.
    8. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    9. Giampaolo Gabbi & Andrea Sironi, 2005. "Which factors affect corporate bonds pricing? Empirical evidence from eurobonds primary market spreads," The European Journal of Finance, Taylor & Francis Journals, vol. 11(1), pages 59-74.
    10. Kleimeier, Stefanie & Sander, Harald, 2006. "Regional versus global integration of euro-zone retail banking markets: Understanding the recent evidence from price-based integration measures," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 353-368, July.
    11. Degryse, Hans & Van Cayseele, Patrick, 2000. "Relationship Lending within a Bank-Based System: Evidence from European Small Business Data," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 90-109, January.
    12. Maudos, Joaquin & Fernandez de Guevara, Juan, 2004. "Factors explaining the interest margin in the banking sectors of the European Union," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2259-2281, September.
    13. Lieven Baele & Annalisa Ferrando & Peter Hördahl & Elizaveta Krylova & Cyril Monnet, 2004. "Measuring financial integration in the euro area," Occasional Paper Series 14, European Central Bank.
    14. K. Jöreskog, 1969. "A general approach to confirmatory maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 183-202, June.
    15. Donald Rubin & Dorothy Thayer, 1982. "EM algorithms for ML factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 47(1), pages 69-76, March.
    16. Melnik, Arie & Nissim, Doron, 2006. "Issue costs in the Eurobond market: The effects of market integration," Journal of Banking & Finance, Elsevier, vol. 30(1), pages 157-177, January.
    17. Massimiliano Affinito & Fabio Farabullini, 2009. "Does the Law of One Price Hold in Euro-Area Retail Banking? An Empirical Analysis of Interest Rate Differentials across the Monetary Union," International Journal of Central Banking, International Journal of Central Banking, vol. 5(1), pages 5-37, March.
    18. Boot, Arnoud W. A., 2000. "Relationship Banking: What Do We Know?," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 7-25, January.
    19. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    financial market integration; corporate loan; corporate bond; panel unit root test; factor analysis;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ris:eibefr:2009_001. 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: (Polyxeni Kanelliadou). General contact details of provider: http://edirc.repec.org/data/ceeiblu.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.