IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/12-43.html
   My bibliography  Save this paper

What Drives Credit Growth in Emerging Asia?

Author

Listed:
  • Fei Han
  • Selim Elekdag

Abstract

This paper seeks to uncover the main drivers of credit growth in emerging Asia using a multi-country structural vector autoregressive (SVAR) model. Taking a novel approach, we developed a two-block SVAR whereby shocks within blocks are identified using sign restrictions, whereas shocks across the blocks are identified using a recursive (block-) Cholesky structure. We find that domestic factors are more dominant than external factors in driving rapid credit growth in emerging Asia. This is particularly true for domestic monetary policy, which can play a pivotal role in terms of managing rapid credit growth in emerging Asia.

Suggested Citation

  • Fei Han & Selim Elekdag, 2012. "What Drives Credit Growth in Emerging Asia?," IMF Working Papers 12/43, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:12/43
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=25710
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Dungey, Mardi & Fry, Renée, 2009. "The identification of fiscal and monetary policy in a structural VAR," Economic Modelling, Elsevier, vol. 26(6), pages 1147-1160, November.
    3. Pierre-Olivier Gourinchas & Rodrigo Valdes & Oscar Landerretche, 2001. "Lending Booms: Latin America and the World," ECONOMIA JOURNAL, THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION - LACEA, vol. 0(Spring 20), pages 47-100, January.
    4. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    5. 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.
    6. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    7. Andrew Mountford, 2005. "Leaning into the Wind: A Structural VAR Investigation of UK Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 597-621, October.
    8. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148 Elsevier.
    9. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 1065-1188, November.
    10. Hilde C. Bjørnland & Jørn I. Halvorsen, 2014. "How does Monetary Policy Respond to Exchange Rate Movements? New International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 208-232, April.
    11. Marco Terrones & Enrique G. Mendoza, 2008. "An Anatomy of Credit Booms; Evidence From Macro Aggregates and Micro Data," IMF Working Papers 08/226, International Monetary Fund.
    12. Gilchrist, Simon & Yankov, Vladimir & Zakrajsek, Egon, 2009. "Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 471-493, May.
    13. Wiriyawit Varang & Wong Benjamin, 2016. "Structural VARs, deterministic and stochastic trends: how much detrending matters for shock identification," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 141-157, April.
    14. Helbling, Thomas & Huidrom, Raju & Kose, M. Ayhan & Otrok, Christopher, 2011. "Do credit shocks matter? A global perspective," European Economic Review, Elsevier, vol. 55(3), pages 340-353, April.
    15. Clarida, Richard & Gali, Jordi, 1994. "Sources of real exchange-rate fluctuations: How important are nominal shocks?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 1-56, December.
    16. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters,in: This Time Is Different: Eight Centuries of Financial Folly Princeton University Press.
    17. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    18. Roland Meeks, 2009. "Credit market shocks: evidence from corporate spreads and defaults," Working Papers 0906, Federal Reserve Bank of Dallas.
    19. Aaron Tornell & Frank Westermann, 2002. "Boom-Bust Cycles in Middle Income Countries: Facts and Explanation," IMF Staff Papers, Palgrave Macmillan, vol. 49(Special i), pages 111-155.
    20. Ben S. Bernanke & Cara S. Lown, 1991. "The Credit Crunch," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 205-248.
    21. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
    22. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    23. Levy-Yeyati, Eduardo & Sturzenegger, Federico, 2005. "Classifying exchange rate regimes: Deeds vs. words," European Economic Review, Elsevier, vol. 49(6), pages 1603-1635, August.
    24. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    25. Gert Peersman, 2007. "The Relative Importance of Symmetric and Asymmetric Shocks: the Case of United Kingdom and Euro Area," Working Papers 136, Oesterreichische Nationalbank (Austrian Central Bank).
    26. Guillermo A. Calvo & Alejandro Izquierdo & Luis-Fernando Mejía, 2004. "On the empirics of Sudden Stops: the relevance of balance-sheet effects," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
    27. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    28. Gert Peersman, 2011. "The Relative Importance of Symmetric and Asymmetric Shocks: The Case of United Kingdom and Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(1), pages 104-118, February.
    29. Christiane Baumeister & Luca Benati, 2013. "Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 165-212, June.
    30. Benjamin Wong, 2013. "Inflation Dynamics and The Role of Oil Shocks: How Different Were the 1970s?," CAMA Working Papers 2013-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    31. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    32. Selim Elekdag & Yiqun Wu, 2011. "Rapid Credit Growth; Boon or Boom-Bust?," IMF Working Papers 11/241, International Monetary Fund.
    33. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
    34. Farrant, Katie & Peersman, Gert, 2006. "Is the Exchange Rate a Shock Absorber or a Source of Shocks? New Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 939-961, June.
    35. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    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. Mercedes Garcia-Escribano & Fei Han, 2015. "Credit Expansion in Emerging Markets; Propeller of Growth?," IMF Working Papers 15/212, International Monetary Fund.
    2. Gozgor, Giray, 2014. "Determinants of domestic credit levels in emerging markets: The role of external factors," Emerging Markets Review, Elsevier, vol. 18(C), pages 1-18.
    3. Ali Awdeh, 2017. "The Determinants of Credit Growth in Lebanon," International Business Research, Canadian Center of Science and Education, vol. 10(2), pages 9-19, February.
    4. Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2016. "Credit growth in Central, Eastern, and South-Eastern Europe: The case of foreign bank subsidiaries," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 146-158.
    5. Sam Ouliaris & Adrian Pagan, 2016. "A Method for Working with Sign Restrictions in Structural Equation Modelling," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 605-622, October.

    More about this item

    Keywords

    Economic models; Emerging markets; Cross country analysis; Credit expansion; Credit booms; Monetary policy; Flexible exchange rates; Shock identification; rapid credit growth; emerging Asia; SVAR; Bayesian estimation; sign restrictions; aggregate demand; domestic monetary policy; inflation; financial stability; What Drives Credit Growth in Emerging Asia?; Multiple or Simultaneous Equation Models: Time-Series Models; Econometric Modeling: General; Open Economy Macroeconomics;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    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:imf:imfwpa:12/43. 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: (Jim Beardow) or (Hassan Zaidi). General contact details of provider: http://edirc.repec.org/data/imfffus.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.