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The Nexus of Monetary Policy and Shadow Banking in China

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  • Kaiji Chen
  • Jue Ren
  • Tao Zha

Abstract

We estimate the quantity-based monetary policy system in China. We argue that China's rising shadow banking was inextricably linked to banks' balance-sheet risk and hampered the effectiveness of monetary policy on the banking system during the 2009-2015 period of monetary policy contractions. By constructing two micro datasets at the individual bank level, we substantiate this argument with three empirical findings: (1) in response to monetary policy tightening, nonstate banks actively engaged in intermediating shadow banking products; (2) these banks, in sharp contrast to state banks, brought shadow banking products onto the balance sheet via risky investments; (3) bank loans and risky investment assets in the banking system respond in opposite directions to monetary policy tightening, which makes monetary policy less effective. We build a theoretical framework to derive the above testable hypotheses and explore implications of the interaction between monetary and regulatory policies.

Suggested Citation

  • Kaiji Chen & Jue Ren & Tao Zha, 2017. "The Nexus of Monetary Policy and Shadow Banking in China," NBER Working Papers 23377, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23377
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    References listed on IDEAS

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    1. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    2. Chen, Zhuo & He, Zhiguo & Liu, Chun, 2020. "The financing of local government in China: Stimulus loan wanes and shadow banking waxes," Journal of Financial Economics, Elsevier, vol. 137(1), pages 42-71.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    4. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599, Elsevier.
    5. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    6. Javier Bianchi & Saki Bigio, 2022. "Banks, Liquidity Management, and Monetary Policy," Econometrica, Econometric Society, vol. 90(1), pages 391-454, January.
    7. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    10. Lawrence Christiano & Daisuke Ikeda, 2014. "Leverage Restrictions in a Business Cycle Model," Central Banking, Analysis, and Economic Policies Book Series, in: Sofía Bauducco & Lawrence Christiano & Claudio Raddatz (ed.),Macroeconomic and Financial Stability: challenges for Monetary Policy, edition 1, volume 19, chapter 7, pages 215-216, Central Bank of Chile.
    11. repec:zbw:bofitp:2015_001 is not listed on IDEAS
    12. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    13. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    14. Jeremy C. Stein & Anil K. Kashyap, 2000. "What Do a Million Observations on Banks Say about the Transmission of Monetary Policy?," American Economic Review, American Economic Association, vol. 90(3), pages 407-428, June.
    15. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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    More about this item

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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