IDEAS home Printed from https://ideas.repec.org/p/fip/fedawp/2016-01.html
   My bibliography  Save this paper

What we learn from China's rising shadow banking: exploring the nexus of monetary tightening and banks' role in entrusted lending

Author

Listed:

Abstract

We argue that China's rising shadow banking was inextricably linked to potential balance-sheet risks in the banking system. We substantiate this argument with three didactic findings: (1) commercial banks in general were prone to engage in channeling risky entrusted loans; (2) shadow banking through entrusted lending masked small banks' exposure to balance-sheet risks; and (3) two well-intended regulations and institutional asymmetry between large and small banks combined to give small banks an incentive to exploit regulatory arbitrage by bringing off-balance-sheet risks into the balance sheet. We reveal these findings by constructing a comprehensive transaction-based loan dataset, providing robust empirical evidence, and developing a theoretical framework to explain the linkages between monetary policy, shadow banking, and traditional banking (the banking system) in China.

Suggested Citation

  • Chen, Kaiji & Ren, Jue & Zha, Tao, 2016. "What we learn from China's rising shadow banking: exploring the nexus of monetary tightening and banks' role in entrusted lending," FRB Atlanta Working Paper 2016-1, Federal Reserve Bank of Atlanta.
  • Handle: RePEc:fip:fedawp:2016-01
    as

    Download full text from publisher

    File URL: https://frbatlanta.org/-/media/Documents/research/publications/wp/2016/01.pdf?la=en
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Emi Nakamura & Jón Steinsson & Miao Liu, 2016. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 113-144, July.
    2. 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.
    3. 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.
    4. 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.
    5. Javier Bianchi & Saki Bigio, 2014. "Banks, Liquidity Management and Monetary Policy," Working Papers 2014-18, Peruvian Economic Association.
    6. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2016. "Trends and Cycles in China's Macroeconomy," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 1-84.
    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. Zheng Song & Kinda Hachem, 2015. "The Rise of China's Shadow Banking System," 2015 Meeting Papers 931, Society for Economic Dynamics.
    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. Markus K. Brunnermeier & Michael Sockin & Wei Xiong, 2017. "China's Gradualistic Economic Approach and Financial Markets," American Economic Review, American Economic Association, vol. 107(5), pages 608-613, May.
    2. Chen, Zhuo & He, Zhiguo & Liu, Chun, 2018. "The Financing of Local Government in the People’s Republic of China: Stimulus Loan Wanes and Shadow Banking Waxes," ADBI Working Papers 800, Asian Development Bank Institute.
    3. Song, Zheng (Michael) & Xiong, Wei, 2018. "Risks in China’s financial system," BOFIT Discussion Papers 1/2018, Bank of Finland, Institute for Economies in Transition.
    4. repec:eee:chieco:v:46:y:2017:i:s:p:s35-s49 is not listed on IDEAS
    5. Torsten Ehlers & Steven Kong & Feng Zhu, 2018. "Mapping shadow banking in China: structure and dynamics," BIS Working Papers 701, Bank for International Settlements.
    6. repec:eee:moneco:v:94:y:2018:i:c:p:27-40 is not listed on IDEAS
    7. Zhuo Chen & Zhiguo He & Chun Liu, 2017. "The Financing of Local Government in China: Stimulus Loan Wanes and Shadow Banking Waxes," NBER Working Papers 23598, National Bureau of Economic Research, Inc.
    8. He, Qing & Lu, Liping & Ongena, Steven, 2015. "Who gains from credit granted between firms? Evidence from inter-corporate loan announcements made in China," BOFIT Discussion Papers 1/2015, Bank of Finland, Institute for Economies in Transition.

    More about this item

    Keywords

    Regulatory arbitrage; asset pricing; institutional asymmetry; entrusted loans; risk taking; shadow loans; bank loans; nonloan investment; nonbank trustees; small banks; large banks; balance sheet; optimal decisions;

    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

    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:fip:fedawp:2016-01. 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: (Elaine Clokey). General contact details of provider: http://edirc.repec.org/data/frbatus.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.