IDEAS home Printed from https://ideas.repec.org/p/nse/doctra/g2015-07.html
   My bibliography  Save this paper

No evidence of financial accelerator in France

Author

Listed:
  • B. CAMPAGNE

    (Insee)

  • V. ALHENC-GELAS

    (Insee)

  • J.-B. BERNARD

    (Insee)

Abstract

In this paper, we investigate the role of financial acceleration phenomena in France over the period 1987-2013. Constructing a threshold-VAR model allowing for two credit regimes, we formally test for the presence of a financial acceleration and present generalized impulse response functions. Using the volatility of the French stock index CAC40 and the lending spread between small and large firms as credit stress indicators, we show weak evidence of the existence of a global financial accelerator in France and also provide a simple method for computing contributions in threshold-VAR. We insist on the difficulty to construct stable financial sphere - real economy interactions models for France or to identify adequate credit stress indicators.

Suggested Citation

  • B. Campagne & V. Alhenc-Gelas & J.-B. Bernard, 2015. "No evidence of financial accelerator in France," Documents de Travail de l'Insee - INSEE Working Papers g2015-07, Institut National de la Statistique et des Etudes Economiques.
    • Handle: RePEc:nse:doctra:g2015-07
    as

    Download full text from publisher

    File URL: https://www.bnsp.insee.fr/ark:/12148/bc6p06zr9w9/f1.pdf
    File Function: Document de travail de la DESE numéro G2015-07
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    2. Samuel Bentolila & Marcel Jansen & Gabriel Jiménez, 2018. "When Credit Dries Up: Job Losses in the Great Recession," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 650-695.
    3. Horst Rottmann & Timo Wollmershäuser, 2013. "A micro data approach to the identification of credit crunches," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2423-2441, June.
    4. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    5. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    6. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    7. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    8. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    9. Del Giovane, Paolo & Eramo, Ginette & Nobili, Andrea, 2011. "Disentangling demand and supply in credit developments: A survey-based analysis for Italy," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2719-2732, October.
    10. Nobuhiro Kiyotaki & John Moore, 1997. "Credit Chains," Working Papers 1997-2, Princeton University. Economics Department..
    11. Kremp, Elizabeth & Sevestre, Patrick, 2013. "Did the crisis induce credit rationing for French SMEs?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3757-3772.
    12. Cara S. Lown & Donald P. Morgan, 2002. "Credit effects in the monetary mechanism," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(May), pages 217-235.
    13. 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.
    14. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.
    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. Mariya A. Shchepeleva, 2020. "Modeling the Balance Sheet Channel of Monetary Transmission in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 39-56, April.

    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. Evgenidis, Anastasios & Tsagkanos, Athanasios, 2017. "Asymmetric effects of the international transmission of US financial stress. A threshold-VAR approach," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 69-81.
    2. Jiang, Yong & Wang, Gang-Jin & Ma, Chaoqun & Yang, Xiaoguang, 2021. "Do credit conditions matter for the impact of oil price shocks on stock returns? Evidence from a structural threshold VAR model," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 1-15.
    3. Renée Fry-Mckibbin & Jasmine Zheng, 2016. "Effects of the US monetary policy shocks during financial crises – a threshold vector autoregression approach," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5802-5823, December.
    4. Julius Loermann, 2018. "The Impact of CHF/EUR Exchange Rate Uncertainty on Swiss Exports to the Eurozone: Evidence from a Threshold VAR," FIW Working Paper series 189, FIW, revised Feb 2019.
    5. Baum, Anja & Koester, Gerrit B., 2011. "The impact of fiscal policy on economic activity over the business cycle - evidence from a threshold VAR analysis," Discussion Paper Series 1: Economic Studies 2011,03, Deutsche Bundesbank.
    6. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
    7. Giovannoni, Francesco & de Dios Tena, Juan, 2008. "Market concentration, macroeconomic uncertainty and monetary policy," European Economic Review, Elsevier, vol. 52(6), pages 1097-1123, August.
    8. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.
    9. Nathan S. Balke & Enrique Martínez García & Zheng Zeng, 2017. "Understanding the Aggregate Effects of Credit Frictions and Uncertainty," Globalization Institute Working Papers 317, Federal Reserve Bank of Dallas.
    10. Marina Tkalec, 2013. "The Dynamics of Deposit Euroization in European Post-Transition Countries: Evidence from Threshold VAR," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 66-83.
    11. António Afonso & Jaromír Baxa & Michal Slavík, 2018. "Fiscal developments and financial stress: a threshold VAR analysis," Empirical Economics, Springer, vol. 54(2), pages 395-423, March.
    12. Balke, Nathan S. & Martínez-García, Enrique & Zeng, Zheng, 2021. "In no uncertain terms: The effect of uncertainty on credit frictions and monetary policy," Economic Modelling, Elsevier, vol. 100(C).
    13. Dreger, Christian & Gerdesmeier, Dieter & Roffia, Barbara, 2020. "The impact of credit for house price overvaluations in the euro area: Evidence from threshold models," MPRA Paper 99523, University Library of Munich, Germany.
    14. Steven Fazzari & James Morley & Irina Panovska, 2013. "State-Dependent Effects of Fiscal Policy," Discussion Papers 2012-27B, School of Economics, The University of New South Wales.
    15. Leonardo Gambacorta & Carlotta Rossi, 2007. "Modelling bank lending in the euro area: A non-linear approach," Temi di discussione (Economic working papers) 650, Bank of Italy, Economic Research and International Relations Area.
    16. Martin Mandler, 2010. "Macroeconomic dynamics and inflation regimes in the U.S. Results from threshold vector autoregressions," MAGKS Papers on Economics 201012, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    17. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2014. "Asymmetric adjustment toward optimal capital structure: Evidence from a crisis," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 226-242.
    18. Tena, Juan de Dios & Tremayne, A.R., 2009. "Modelling monetary transmission in UK manufacturing industry," Economic Modelling, Elsevier, vol. 26(5), pages 1053-1066, September.
    19. Awijen, Haithem & Hammami, Sami, 2017. "Financial frictions and regime switching: The role of collateral asset in emerging stock market," Economics Discussion Papers 2017-6, Kiel Institute for the World Economy (IfW Kiel).
    20. Galyna Grynkiv & Lars Stentoft, 2018. "Stationary Threshold Vector Autoregressive Models," JRFM, MDPI, vol. 11(3), pages 1-23, August.

    More about this item

    Keywords

    credit constraint; flight to quality; generalized impulse response function; threshold VAR (TVAR);
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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:nse:doctra:g2015-07. 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: INSEE (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.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.