IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v114y2022ics0264999322001481.html
   My bibliography  Save this article

Financial integration or financial fragmentation? A euro area perspective

Author

Listed:
  • Arce-Alfaro, Gabriel
  • Blagov, Boris

Abstract

In this article we address the question of how strongly bank lending rates and credit volumes co-move across the euro area. Following the breakdown in the interest rate pass-through across the euro area, we aim to disentangle the relative importance of country-specific and common components in explaining the variance of the macro and financial variables by using a time-varying two-level dynamic factor model. Our results show that a high share is explained by the common component. However, we find a persistent decline in the importance of the common factor in the bank lending rates, indicating the presence of financial fragmentation. Furthermore, we find persistent heterogeneity across member states, specifically those hit hard by the sovereign-debt crisis.

Suggested Citation

  • Arce-Alfaro, Gabriel & Blagov, Boris, 2022. "Financial integration or financial fragmentation? A euro area perspective," Economic Modelling, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:ecmode:v:114:y:2022:i:c:s0264999322001481
    DOI: 10.1016/j.econmod.2022.105902
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999322001481
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2022.105902?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
    2. Boris Blagov & Michael Funke & Richhild Moessner, 2015. "Modelling the time-variation in euro area lending spreads," BIS Working Papers 526, Bank for International Settlements.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Rey, Hélène, 2015. "Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence," CEPR Discussion Papers 10591, C.E.P.R. Discussion Papers.
    5. Matteo Ciccarelli & Angela Maddaloni & José-Luis Peydró, 2013. "Heterogeneous transmission mechanism: monetary policy and financial fragility in the eurozone [Which financial frictions? Parsing the evidence from the financial crisis of 2007-9]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(75), pages 459-512.
    6. Ciccarelli, Matteo & Maddaloni, Angela & Peydró, José-Luis, 2013. "Heterogeneous transmission mechanism: monetary policy and financial fragility in the euro area," Working Paper Series 1527, European Central Bank.
    7. Altavilla, Carlo & Canova, Fabio & Ciccarelli, Matteo, 2020. "Mending the broken link: Heterogeneous bank lending rates and monetary policy pass-through," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 81-98.
    8. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    9. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    10. Stijn Claessens, 2019. "Fragmentation in global financial markets: good or bad for financial stability?," BIS Working Papers 815, Bank for International Settlements.
    11. repec:oup:ecpoli:v:28:y:2013:i:75:p:459-512 is not listed on IDEAS
    12. Haroon Mumtaz & Alberto Musso, 2021. "The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
    13. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    14. Haroon Mumtaz & Paolo Surico, 2012. "Evolving International Inflation Dynamics: World And Country-Specific Factors," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 716-734, August.
    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. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    2. Kleimeier, Stefanie & Sander, Harald, 2022. "Twenty years with the Euro: Eurozone banking market integration revisited," Economic Modelling, Elsevier, vol. 114(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Heterogeneity, co-movements and financial fragmentation within the euro area," Ruhr Economic Papers 927, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022. "The global component of inflation volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
    3. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    4. Baumeister, Christiane & Liu, Philip & Mumtaz, Haroon, 2013. "Changes in the effects of monetary policy on disaggregate price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 543-560.
    5. Potjagailo, Galina & Wolters, Maik H., 2023. "Global financial cycles since 1880," Journal of International Money and Finance, Elsevier, vol. 131(C).
    6. Bai, Jushan & Wang, Peng, 2012. "Identification and estimation of dynamic factor models," MPRA Paper 38434, University Library of Munich, Germany.
    7. Kristina Barauskaite & Anh D. M. Nguyen, 2022. "Intersectoral network‐based channel of aggregate TFP shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3897-3910, October.
    8. Filippo Ferroni & Benjamin Klaus, 2015. "Euro Area business cycles in turbulent times: convergence or decoupling?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3791-3815, July.
    9. Anna Burova & Alexey Ponomarenko & Svetlana Popova & Andrey Sinyakov & Yulia Ushakova, 2022. "Measuring Heterogeneity in Banks’ Interest Rate Setting in Russia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(14), pages 4103-4119, November.
    10. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2014. "The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR," Journal of International Money and Finance, Elsevier, vol. 46(C), pages 1-15.
    11. Ashima Goyal & Akhilesh K. Verma & Rajeswari Sengupta, 2022. "External shocks, cross-border flows and macroeconomic risks in emerging market economies," Empirical Economics, Springer, vol. 62(5), pages 2111-2148, May.
    12. Aleksandra Halka & Grzegorz Szafranski, 2018. "What Common Factors are Driving Inflation in CEE Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(2), pages 131-148.
    13. Paul Ho & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2022. "Multilateral Comovement in a New Keynesian World: A Little Trade Goes a Long Way," Working Paper 22-10, Federal Reserve Bank of Richmond.
    14. Angela Abbate & Sandra Eickmeier & Wolfgang Lemke & Massimiliano Marcellino, 2016. "The Changing International Transmission of Financial Shocks: Evidence from a Classical Time‐Varying FAVAR," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 573-601, June.
    15. Eller, Markus & Huber, Florian & Schuberth, Helene, 2020. "How important are global factors for understanding the dynamics of international capital flows?," Journal of International Money and Finance, Elsevier, vol. 109(C).
    16. Necati Tekatli, 2007. "Understanding Sources of the Change in International Business Cycles," UFAE and IAE Working Papers 731.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    17. Nils Jannsen & Galina Potjagailo & Maik H. Wolters, 2019. "Monetary Policy during Financial Crises: Is the Transmission Mechanism Impaired?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(4), pages 81-126, October.
    18. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    19. Pacicco, Fausto & Serati, Massimiliano & Venegoni, Andrea, 2022. "The Euro Area credit crunch conundrum: Was it demand or supply driven?," Economic Modelling, Elsevier, vol. 106(C).
    20. Andrea Venegoni & Massimiliano Serati, 2017. "The Symmetry of ECB Monetary Policy Impact Under Scrutiny: An Assessment," LIUC Papers in Economics 306, Cattaneo University (LIUC).

    More about this item

    Keywords

    Co-movements; Financial fragmentation; Dynamic factor model;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:eee:ecmode:v:114:y:2022:i:c:s0264999322001481. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.