IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20192244.html
   My bibliography  Save this paper

Credit, financial conditions and the business cycle in China

Author

Listed:
  • Lodge, David
  • Soudan, Michel

Abstract

This paper presents empirical evidence of the role of financial conditions in China’s business cycle. We estimate a Bayesian-VAR for the Chinese economy, incorporating a financial conditions index for China that captures movements across a range of financial variables, including interest rates and interbank spreads, bond returns, and credit and equity flows. We impose sign restrictions on the impulse response functions to identify shocks to financial conditions and shocks to monetary policy. The model suggests that monetary policy, credit and financial conditions have played an important role in shaping China’s business cycle. Using conditional scenarios, we examine the role of credit in shaping economic outcomes in China over the past decade. Those scenarios underscore the important role of credit growth in supporting activity during the past decade, particularly the surge in credit following the global financial crisis in 2008. The financial tightening since the end of 2016 has contributed to a modest slowing of credit growth and activity. JEL Classification: E32, E44, E51, E17

Suggested Citation

  • Lodge, David & Soudan, Michel, 2019. "Credit, financial conditions and the business cycle in China," Working Paper Series 2244, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20192244
    Note: 574602
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2244~2b96a7eaec.en.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Huang, Yi & Pagano, Marco & Panizza, Ugo, 2016. "Public Debt and Private Firm Funding: Evidence from Chinese Cities," CEPR Discussion Papers 11489, C.E.P.R. Discussion Papers.
    2. repec:bin:bpeajo:v:47:y:2016:i:2016-02:p:129-181 is not listed on IDEAS
    3. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    4. Michele Lenza & Huw Pill & Lucrezia Reichlin, 2010. "Monetary policy in exceptional times," Economic Policy, CEPR;CES;MSH, vol. 25, pages 295-339, April.
    5. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    6. Dong He & Honglin Wang & Xiangrong Yu, 2015. "Interest Rate Determination in China: Past, Present, and Future," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 255-277, December.
    7. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    8. M. Albert & C. Jude & C. Rebillard, 2015. "The Long Landing Scenario: Rebalancing from Overinvestment and Excessive Credit Growth. Implications for Potential Growth in China," Working papers 572, Banque de France.
    9. repec:wly:japmet:v:32:y:2017:i:4:p:764-782 is not listed on IDEAS
    10. Gert Peersman, 2011. "Macroeconomic consequences of different types of credit market disturbances and non-conventional monetary policy in the euro area," 2011 Meeting Papers 333, Society for Economic Dynamics.
    11. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    12. Sun, Rongrong, 2015. "What measures Chinese monetary policy?," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 263-286.
    13. Chong-En Bai & Chang-Tai Hsieh & Zheng Michael Song, 2016. "The Long Shadow of a Fiscal Expansion," NBER Working Papers 22801, National Bureau of Economic Research, Inc.
    14. Fernald, John G. & Hsu, Eric & Spiegel, Mark M., 2015. "Is China fudging its figures? Evidence from trading partner data," Working Paper Series 2015-12, Federal Reserve Bank of San Francisco.
    15. Enrique Alberola & Ángel Estrada & Daniel Santabárbara, 2013. "Growth beyond imbalances. Sustainable growth rates and output gap reassessment," Working Papers 1313, Banco de España;Working Papers Homepage.
    16. Dieppe, Alistair & Gilhooly, Robert & Han, Jenny & Korhonen, Iikka & Lodge, David, 2018. "The transition of China to sustainable growth – implications for the global economy and the euro area," Occasional Paper Series 206, European Central Bank.
    17. Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
    18. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    19. Jeannine Bailliu & Mark Kruger & Argyn Toktamyssov & Wheaton Welbourn, 2016. "How Fast Can China Grow? The Middle Kingdom’s Prospects to 2030," Staff Working Papers 16-15, Bank of Canada.
    20. Koivu, Tuuli, 2009. "Has the Chinese economy become more sensitive to interest rates? Studying credit demand in China," China Economic Review, Elsevier, vol. 20(3), pages 455-470, September.
    21. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    22. George Kapetanios & Haroon Mumtaz & Ibrahim Stevens & Konstantinos Theodoridis, 2012. "Assessing the Economy‐wide Effects of Quantitative Easing," Economic Journal, Royal Economic Society, vol. 122(564), pages 316-347, November.
    23. Chong-En Bai & Chang-Tai Hsieh & Zheng (Michael) Song, 2016. "The Long Shadow of China’s Fiscal Expansion," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 129-181.
    24. Atif Ansar & Bent Flyvbjerg & Alexander Budzier & Daniel Lunn, 2016. "Does infrastructure investment lead to economic growth or economic fragility? Evidence from China," Oxford Review of Economic Policy, Oxford University Press, vol. 32(3), pages 360-390.
    25. Bijsterbosch, Martin & Falagiarda, Matteo, 2014. "Credit supply dynamics and economic activity in euro area countries: a time-varying parameter VAR analysis," Working Paper Series 1714, European Central Bank.
    26. Xiong, Weibo, 2012. "Measuring the monetary policy stance of the People's bank of china: An ordered probit analysis," China Economic Review, Elsevier, vol. 23(3), pages 512-533.
    27. repec:bof:bofitp:urn:nbn:fi:bof-201511031430 is not listed on IDEAS
    28. Nicoletti, Giulio & Wacker, Konstantin M. & Lodge, David, 2014. "Measuring financial conditions in major non-euro area economies," Working Paper Series 1743, European Central Bank.
    29. Fan, Longzhen & Yu, Yihong & Zhang, Chu, 2011. "An empirical evaluation of China's monetary policies," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 358-371, June.
    30. He, Dong & Wang, Honglin, 2012. "Dual-track interest rates and the conduct of monetary policy in China," China Economic Review, Elsevier, vol. 23(4), pages 928-947.
    31. Zhang, Wenlang, 2009. "China's monetary policy: Quantity versus price rules," Journal of Macroeconomics, Elsevier, vol. 31(3), pages 473-484, September.
    32. Kapetanios, George & Price, Simon & Young, Garry, 2018. "A UK financial conditions index using targeted data reduction: Forecasting and structural identification," Econometrics and Statistics, Elsevier, vol. 7(C), pages 1-17.
    33. Luca Gambetti & Alberto Musso, 2017. "Loan Supply Shocks and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 764-782, June.
    34. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    35. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 387-422.
    36. Eric Girardin & Sandrine Lunven & Guonan Ma, 2017. "China's evolving monetary policy rule: from inflation-accommodating to anti-inflation policy," BIS Working Papers 641, Bank for International Settlements.
    37. Wojciech Maliszewski & Longmei Zhang, 2015. "China’s Growth; Can Goldilocks Outgrow Bears?," IMF Working Papers 15/113, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Bayesian VAR; credit conditions; financial conditions index; monetary policy;

    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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:ecb:ecbwps:20192244. 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: (Official Publications). General contact details of provider: http://edirc.repec.org/data/emieude.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.