IDEAS home Printed from https://ideas.repec.org/p/bfr/banfra/172.html
   My bibliography  Save this paper

L’évolution des crédits à l’habitat en France : une grille d’analyse en termes de cycles

Author

Listed:
  • Kierzenkowski, R.
  • Oung, V.

Abstract

This article puts forward a framework based primarily on probabilistic tools to analyse the nature of housing loan cycles in France. The continued high growth rate of housing loans may indeed raise concerns as to the duration and determinants of the cycle which currently prevails. The results obtained suggest that the current cycle is actually exceptional in many respects. One the one hand, it is the longest housing loans cycle observed over the last thirty years, while its occurrence appears to be structurally decoupled with several indicators of the real economy. On the other hand, this cycle may also be related to the existence of an excess supply regime, which could prove an important explanatory factor of a decoupling with the real economy.

Suggested Citation

  • Kierzenkowski, R. & Oung, V., 2007. "L’évolution des crédits à l’habitat en France : une grille d’analyse en termes de cycles," Working papers 172, Banque de France.
  • Handle: RePEc:bfr:banfra:172
    as

    Download full text from publisher

    File URL: https://publications.banque-france.fr/sites/default/files/medias/documents/working-paper_172_2007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael P. Clements & Hans-Martin Krolzig, 1998. "A comparison of the forecast performance of Markov-switching and threshold autoregressive models of US GNP," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 47-75.
    2. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    3. Éric Heyer & Xavier Timbeau, 2006. "Immobilier et politique monétaire," Revue de l'OFCE, Presses de Sciences-Po, vol. 96(1), pages 115-151.
    4. Avouyi-Dovi, S. & Matheron, J., 2003. "Interactions between business cycles, stock market cycles and interest rates: the stylised facts," Financial Stability Review, Banque de France, issue 3, pages 80-99, November.
    5. Marcelle Chauvet & Jeremy M. Piger, 2003. "Identifying business cycle turning points in real time," Review, Federal Reserve Bank of St. Louis, vol. 85(Mar), pages 47-61.
    6. Nathan S. Balke, 2000. "Credit and Economic Activity: Credit Regimes and Nonlinear Propagation of Shocks," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 344-349, May.
    7. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    8. G. B. Gorton & Ping He, 2008. "Bank Credit Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1181-1214.
    9. Giovanni Dell'Ariccia & Robert Marquez, 2006. "Lending Booms and Lending Standards," Journal of Finance, American Finance Association, vol. 61(5), pages 2511-2546, October.
    10. Hamilton, James D., 2003. "Comment on "A comparison of two business cycle dating methods"," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1691-1693, July.
    11. Maddala, G S & Nelson, Forrest D, 1974. "Maximum Likelihood Methods for Models of Markets in Disequilibrium," Econometrica, Econometric Society, vol. 42(6), pages 1013-1030, November.
    12. Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004. "Characterising the Business Cycle for Accession Countries," Working Papers 261, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Atanasova Christina, 2003. "Credit Market Imperfections and Business Cycle Dynamics: A Nonlinear Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-22, December.
    14. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    15. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    16. Nathalie Girouard & Mike Kennedy & Paul van den Noord & Christophe André, 2006. "Recent House Price Developments: The Role of Fundamentals," OECD Economics Department Working Papers 475, OECD Publishing.
    17. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    18. Hurlin, Christophe & Kierzenkowski, Rafal, 2007. "Credit market disequilibrium in Poland: Can we find what we expect?: Non-stationarity and the short-side rule," Economic Systems, Elsevier, vol. 31(2), pages 157-183, June.
    19. Hans-Martin Krolzig, 2000. "Predicting Markov-Switching Vector Autoregressive Processes," Economics Series Working Papers 2000-W31, University of Oxford, Department of Economics.
    20. Mark W. French, 2001. "Estimating changes in trend growth of total factor productivity: Kalman and H-P filters versus a Markov-switching framework," Finance and Economics Discussion Series 2001-44, Board of Governors of the Federal Reserve System (U.S.).
    21. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    Full references (including those not matched with items on IDEAS)

    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. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    2. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    3. Bergbrant, Mikael C. & Bradley, Daniel & Hunter, Delroy M., 2017. "Does bank loan supply affect the supply of equity capital? Evidence from new share issuance and withdrawal," Journal of Financial Intermediation, Elsevier, vol. 29(C), pages 32-45.
    4. James Morley & Jeremy Piger, 2006. "The Importance of Nonlinearity in Reproducing Business Cycle Features," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 75-95, Emerald Group Publishing Limited.
    5. Stefan Avdjiev & Zheng Zeng, 2014. "Credit growth, monetary policy and economic activity in a three-regime TVAR model," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2936-2951, August.
    6. Yi, Xingjian & Liu, Sheng & Wu, Zhouheng, 2022. "What drives credit expansion worldwide?——An empirical investigation with long-term cross-country panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 225-242.
    7. Giovanni Dell’Ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(2‐3), pages 367-384, March.
    8. Viv B. Hall & C. John McDermott, 2006. "The New Zealand Business Cycle: Return To Golden Days?," CAMA Working Papers 2006-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    10. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2015. "Fiscal Policies and Credit Regimes: A TVAR Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1047-1072, November.
    11. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, June.
    12. Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco & van Dijk, Herman K., 2012. "Combination schemes for turning point predictions," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 402-412.
    13. Tom Boot & Andreas Pick, 2014. "Optimal forecasts from Markov switching models," DNB Working Papers 452, Netherlands Central Bank, Research Department.
    14. Bordo, Michael D. & Haubrich, Joseph G., 2010. "Credit crises, money and contractions: An historical view," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 1-18, January.
    15. Poghosyan, Tigran, 2011. "Slowdown of credit flows in Jordan in the wake of the global financial crisis: Supply or demand driven?," Economic Systems, Elsevier, vol. 35(4), pages 562-573.
    16. Q.Farooq Akram & Øyvind Eitrheim & Lucio Sarno, 2006. "Non-linear Dynamics in Output, Real Exchange Rates and Real Money Balances: Norway, 1830-2003," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 333-377, Emerald Group Publishing Limited.
    17. Ravn, Søren Hove, 2016. "Endogenous credit standards and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 89-111.
    18. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2009. "What happens during recessions, crunches and busts? [Business cycles for G-7 and European countries]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(60), pages 653-700.
    19. Fabrizio Carmignani, 2010. "Endogenous Optimal Currency Areas: the Case of the Central African Economic and Monetary Community," Journal of African Economies, Centre for the Study of African Economies, vol. 19(1), pages 25-51, January.
    20. Gete, Pedro & Tiernan, Natalie, 2014. "Lending Standards and Countercyclical Capital Requirements under Imperfect Information," MPRA Paper 54486, University Library of Munich, Germany.

    More about this item

    Keywords

    Credit cycle ; Band-pass filters ; Markov Switching; Disequilibrium.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    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:bfr:banfra:172. 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: Michael brassart (email available below). General contact details of provider: https://edirc.repec.org/data/bdfgvfr.html .

    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.