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China’s Bank Balance Sheet and Financing of Heterogeneous Enterprises

Author

Listed:
  • Kun Huang

    (PBC School of Finance, Tsinghua University, Beijing 100083, China)

  • Qiuge Yao

    (Institute of Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

Abstract

Given the background of financial disintermediation and interest rate marketization, the assets of China’s commercial banks can be divided into traditional credit assets, whose rates of return are controlled by the supervision department, and financial assets, whose rates of return fluctuate according to market conditions. Direct financing enterprises are mainly state-owned enterprises with a good reputation, endorsed by the government, and they finance using the financial assets of commercial banks. Indirect financing enterprises are mainly private enterprises, which finance using credit assets. By introducing a financial intermediary sector with a balance sheet into dynamic stochastic general equilibrium (DSGE) model, our model endogenously determines the leverage ratio and the ratio of the two assets of the bank. Model results show that the impact from the volatility of financial markets and other exogenous shocks can affect the banks’ asset proportions of the two asset types, asymmetrically affecting the production scale of enterprises with two types of financing. Further, the bank’s leverage ratio changes will have a magnifying effect on economic fluctuations.

Suggested Citation

  • Kun Huang & Qiuge Yao, 2018. "China’s Bank Balance Sheet and Financing of Heterogeneous Enterprises," Economies, MDPI, vol. 6(4), pages 1-24, December.
  • Handle: RePEc:gam:jecomi:v:6:y:2018:i:4:p:65-:d:187725
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    References listed on IDEAS

    as
    1. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    2. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
    3. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    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. Goodfriend, Marvin & McCallum, Bennett T., 2007. "Banking and interest rates in monetary policy analysis: A quantitative exploration," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1480-1507, July.
    6. Angeloni, Ignazio & Faia, Ester, 2013. "Capital regulation and monetary policy with fragile banks," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 311-324.
    7. Meh, Césaire A. & Moran, Kevin, 2010. "The role of bank capital in the propagation of shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 555-576, March.
    8. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    9. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    10. Gertler, Mark & Kiyotaki, Nobuhiro & Queralto, Albert, 2012. "Financial crises, bank risk exposure and government financial policy," Journal of Monetary Economics, Elsevier, vol. 59(S), pages 17-34.
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