IDEAS home Printed from https://ideas.repec.org/a/pal/jbkreg/v19y2018i4d10.1057_s41261-017-0057-9.html
   My bibliography  Save this article

Macro stress testing in the banking system of China

Author

Listed:
  • Bo Jiang

    (Nottingham Trent University)

  • Bruce Philp

    (Nottingham Trent University)

  • Zhongmin Wu

    (Nottingham Trent University)

Abstract

In this paper, we develop a framework for macro stress testing of China’s banking system. Our estimates of the correlations between banks’ stability indicators and macroeconomic factors establish significant relationships between the nonperforming loan ratio and key macroeconomic variables, such as GDP growth, the retail price index, the unemployment rate, total fixed investment, the money supply, interest rates, and exchange rates. Further, results from the macro stress tests show that robustness, or otherwise, of the banking system is highly dependent on the source of the potential risk. Our value-at-risk tests suggest that (at a 99% confidence level) the Chinese banking system is robust with respect to interest rate shocks. However, GDP growth and exchange rate shocks exhibit a profound negative effect, indicating that significant losses become likely. These results should inform investors, policy makers, and regulators with regard to loss-limitation in China’s banking system.

Suggested Citation

  • Bo Jiang & Bruce Philp & Zhongmin Wu, 2018. "Macro stress testing in the banking system of China," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(4), pages 287-298, November.
  • Handle: RePEc:pal:jbkreg:v:19:y:2018:i:4:d:10.1057_s41261-017-0057-9
    DOI: 10.1057/s41261-017-0057-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41261-017-0057-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41261-017-0057-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Aikman & Piergiorgio Alessandri & Bruno Eklund & Prasanna Gai & Sujit Kapadia & Elizabeth Martin & Nada Mora & Gabriel Sterne & Matthew Willison, 2011. "Funding Liquidity Risk in a Quantitative Model of Systemic Stability," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 12, pages 371-410, Central Bank of Chile.
    2. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    3. Adam Posen, 2003. "It Takes More Than a Bubble to Become Japan," RBA Annual Conference Volume (Discontinued), in: Anthony Richards & Tim Robinson (ed.),Asset Prices and Monetary Policy, Reserve Bank of Australia.
    4. Tagkalakis, Athanasios, 2013. "The effects of financial crisis on fiscal positions," European Journal of Political Economy, Elsevier, vol. 29(C), pages 197-213.
    5. Dimitrios P Tsomocos & Gunnar Bardsen & Department of Economics & NTNUKjersti-Gro Lindquist & Norges Bank, 2006. "Evaluation of macroeconomic models for financial stability analysis," Economics Series Working Papers 2006-FE-01, University of Oxford, Department of Economics.
    6. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    7. René M. Stulz, 2008. "Risk Management Failures: What Are They and When Do They Happen?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 20(4), pages 39-48, September.
    8. Aboody, David & Hughes, John S. & Bugra Ozel, N., 2014. "Corporate bond returns and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 42-53.
    9. Eugene N. White, 2014. "Lessons from the Great American Real Estate Boom and Bust of the 1920s," NBER Chapters, in: Housing and Mortgage Markets in Historical Perspective, pages 115-158, National Bureau of Economic Research, Inc.
    10. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 642-675, October.
    11. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2005. "Exploring interactions between real activity and the financial stance," Journal of Financial Stability, Elsevier, vol. 1(3), pages 308-341, April.
    12. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Risk Assessment for Banking Systems," Management Science, INFORMS, vol. 52(9), pages 1301-1314, September.
    13. Wong, Jim & Wong, Tak-Chuen & Leung, Phyllis, 2010. "Predicting banking distress in the EMEAP economies," Journal of Financial Stability, Elsevier, vol. 6(3), pages 169-179, September.
    14. De Graeve, F. & Kick, T. & Koetter, M., 2008. "Monetary policy and financial (in)stability: An integrated micro-macro approach," Journal of Financial Stability, Elsevier, vol. 4(3), pages 205-231, September.
    15. Borio, Claudio, 2006. "Monetary and financial stability: Here to stay?," Journal of Banking & Finance, Elsevier, vol. 30(12), pages 3407-3414, December.
    16. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.
    17. Virolainen, Kimmo, 2004. "Macro stress testing with a macroeconomic credit risk model for Finland," Research Discussion Papers 18/2004, Bank of Finland.
    18. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
    19. Miroslav Misina & David Tessier & Shubhasis Dey, 2006. "Stress Testing the Corporate Loans Portfolio of the Canadian Banking Sector," Staff Working Papers 06-47, Bank of Canada.
    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. Marina Yu. Malkina & Anton O. Ovcharov, 2019. "Financial Stress Index as a Generalized Indicator of Financial Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 3, pages 38-54, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    2. Dovern, Jonas & Meier, Carsten-Patrick & Vilsmeier, Johannes, 2010. "How resilient is the German banking system to macroeconomic shocks?," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1839-1848, August.
    3. Ruja, Catalin, 2014. "Macro Stress-Testing Credit Risk in Romanian Banking System," MPRA Paper 58244, University Library of Munich, Germany.
    4. Patrick Van Roy & Stijn Ferrari & Cristina Vespro, 2018. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Working Paper Research 338, National Bank of Belgium.
    5. Blank, Sven & Buch, Claudia M. & Neugebauer, Katja, 2009. "Shocks at large banks and banking sector distress: The Banking Granular Residual," Journal of Financial Stability, Elsevier, vol. 5(4), pages 353-373, December.
    6. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123, Central Bank of Chile.
    7. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    8. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    9. Bernal, Oscar & Gnabo, Jean-Yves & Guilmin, Grégory, 2014. "Assessing the contribution of banks, insurance and other financial services to systemic risk," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 270-287.
    10. Céline Gauthier & Moez Souissi & Xuezhi Liu, 2014. "Introducing Funding Liquidity Risk in a Macro Stress-Testing Framework," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 105-142, December.
    11. Gauthier, Céline & Lehar, Alfred & Souissi, Moez, 2012. "Macroprudential capital requirements and systemic risk," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 594-618.
    12. Bruneau, C. & de Bandt, O. & El Amri, W., 2012. "Macroeconomic fluctuations and corporate financial fragility," Journal of Financial Stability, Elsevier, vol. 8(4), pages 219-235.
    13. Zedginidze Zviad, 2012. "Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk," EERC Working Paper Series 12/07e, EERC Research Network, Russia and CIS.
    14. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    15. Peter Grundke & Kamil Pliszka & Michael Tuchscherer, 2020. "Model and estimation risk in credit risk stress tests," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 163-199, July.
    16. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
    17. Schou-Zibell, Lotte & Albert, Jose Ramon & Song, Lei Lei, 2010. "A Macroprudential Framework for Monitoring and Examining Financial Soundness," Working Papers on Regional Economic Integration 43, Asian Development Bank.
    18. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    19. Bellotti, Tony & Crook, Jonathan, 2011. "Forecasting and Stress Testing Credit Card Default Using Dynamic Models," Working Papers 11-34, University of Pennsylvania, Wharton School, Weiss Center.
    20. Pesola, Jarmo, 2011. "Joint effect of financial fragility and macroeconomic shocks on bank loan losses: Evidence from Europe," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3134-3144, November.

    More about this item

    Keywords

    China; Macro stress testing; Nonperforming loan; VAR analysis;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:pal:jbkreg:v:19:y:2018:i:4:d:10.1057_s41261-017-0057-9. 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: . General contact details of provider: http://www.palgrave-journals.com/ .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.