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Has weak lending and activity in the United Kingdom been driven by credit supply shocks?

  • Barnett, Alina


    (Bank of England)

  • Thomas, Ryland


    (Bank of England)

This paper investigates the role of credit demand and supply shocks in driving the weakness in UK banks’ lending and economic activity during both the recent financial crisis and the various UK financial crises since 1966. It uses a structural vector autoregression analysis to identify separate credit demand and supply shocks in addition to the standard macroeconomic shocks that are typically analysed in this framework. It finds that credit supply shocks can account for most of the weakness in bank lending since the onset of the crisis and between a third and a half of the fall in GDP relative to its historic trend. It also finds that credit supply shocks appear to behave more like aggregate supply shocks than aggregate demand shocks because they cause output and inflation to move in opposite directions. This may be because credit supply shocks affect potential supply in the economy or because they have a significant exchange rate effect. The results appear robust to different identifying assumptions. The main sensitivity appears to be when spreads are treated as a non-stationary variable and long-run restrictions are placed on the model.

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Paper provided by Bank of England in its series Bank of England working papers with number 482.

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Length: 45 pages
Date of creation: 20 Dec 2013
Date of revision:
Handle: RePEc:boe:boeewp:0482
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  1. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2010. "A flexible finite-horizon alternative to long-run restrictions with an application to technology shock," Working Papers 2005-024, Federal Reserve Bank of St. Louis.
  2. Tamim Bayoumi, 1999. "The Morning After: Explaining the Slowdown in Japanese Growth in the 1990s," NBER Working Papers 7350, National Bureau of Economic Research, Inc.
  3. Vasco Cúrdia & Michael Woodford, 2009. "Credit spreads and monetary policy," Staff Reports 385, Federal Reserve Bank of New York.
  4. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  5. Gambetti, Luca & Musso, Alberto, 2012. "Loan supply shocks and the business cycle," Working Paper Series 1469, European Central Bank.
  6. Paustian Matthias, 2007. "Assessing Sign Restrictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-33, August.
  7. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
  8. Kapetanios, George & Mumtaz, Haroon & Stevens, Ibrahim & Theodoridis, Konstantinos, 2012. "Assessing the economy-wide effects of quantitative easing," Bank of England working papers 443, Bank of England.
  9. Thomas Helbling & Ayhan Kose & Christopher Otrok & Raju Huidrom, 2010. "Do Credit Shocks Matter? A Global Perspective," IMF Working Papers 10/261, International Monetary Fund.
  10. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
  11. Johansen, S., 1991. "Determination of Cointegration Rank in the Presence of a Linear Trend," Papers 76a, Helsinki - Department of Economics.
  12. Eickmeier, Sandra & Ng, Tim, 2011. "How Do Credit Supply Shocks Propagate Internationally? A GVAR approach," CEPR Discussion Papers 8720, C.E.P.R. Discussion Papers.
  13. Gianni De Nicolò & Marcella Lucchetta, 2011. "Systemic Risks and the Macroeconomy," NBER Chapters, in: Quantifying Systemic Risk, pages 113-148 National Bureau of Economic Research, Inc.
  14. Juan Francisco Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.
  15. Bell, Venetia & Young, Garry, 2010. "Understanding the weakness of bank lending," Bank of England Quarterly Bulletin, Bank of England, vol. 50(4), pages 311-320.
  16. Joseph Atta-Mensah & Ali Dib, 2003. "Bank Lending, Credit Shocks, and the Transmission of Canadian Monetary Policy," Staff Working Papers 03-9, Bank of Canada.
  17. Woo, David, 2003. " In Search of "Capital Crunch": Supply Factors behind the Credit Slowdown in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(6), pages 1019-38, December.
  18. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
  19. Simon Gilchrist & Vladimir Yankov & Egon Zakrajsek, 2009. "Credit Market Shocks and Economic Fluctuations: Evidence from Corporate Bond and Stock Markets," NBER Working Papers 14863, National Bureau of Economic Research, Inc.
  20. Fabio Canova & Gianni De Nicolo, 2000. "Monetary disturbances matter for business fluctuations in the G-7," International Finance Discussion Papers 660, Board of Governors of the Federal Reserve System (U.S.).
  21. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
  22. G. Peersman, 2011. "Bank Lending Shocks and the Euro Area Business Cycle," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/766, Ghent University, Faculty of Economics and Business Administration.
  23. Joyce, Michael & Tong, Matthew & Woods, Robert, 2011. "The United Kingdom’s quantitative easing policy: design, operation and impact," Bank of England Quarterly Bulletin, Bank of England, vol. 51(3), pages 200-212.
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