IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2012-043.html
   My bibliography  Save this paper

What Drives Credit Growth in Emerging Asia?

Author

Listed:
  • Mr. Fei Han
  • Mr. Selim A 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

  • Mr. Fei Han & Mr. Selim A Elekdag, 2012. "What Drives Credit Growth in Emerging Asia?," IMF Working Papers 2012/043, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2012/043
    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. K. Farrant & G. Peersman, 2005. "Is the exchange rate a shock absorber or a source of shocks? New empirical evidence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/285, Ghent University, Faculty of Economics and Business Administration.
    3. Enrique G. Mendoza & Marco E. Terrones, 2008. "An Anatomy Of Credit Booms: Evidence From Macro Aggregates And Micro Data," NBER Working Papers 14049, National Bureau of Economic Research, Inc.
    4. Pierre-Olivier Gourinchas & Rodrigo Valdes & Oscar Landerretche, 2001. "Lending Booms: Latin America and the World," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 47-100, January.
    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. 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.
    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. 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.
    9. 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.
    10. 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 215-268, November.
    11. 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.
    12. 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.
    13. 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.
    14. Roland Meeks, 2009. "Credit market shocks: evidence from corporate spreads and defaults," Working Papers 0906, Federal Reserve Bank of Dallas.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Guillermo A. Calvo & Alejandro Izquierdo, 2004. "On the empirics of Sudden Stops: the relevance of balance-sheet effects," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
    20. Richard H. Clarida & Jordi Gali, 1994. "Sources of real exchange rate fluctuations: how important are nominal shocks?," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
    21. 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.
    22. 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.
    23. 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.
    24. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
    25. 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.
    26. 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.
    27. 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.
    28. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    29. 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.
    30. 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.).
    31. Levy-Yeyati, Eduardo & Sturzenegger, Federico, 2005. "Classifying exchange rate regimes: Deeds vs. words," European Economic Review, Elsevier, vol. 49(6), pages 1603-1635, August.
    32. 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.
    33. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    34. Mr. Selim A Elekdag & Mr. Yiqun Wu, 2011. "Rapid Credit Growth: Boon or Boom-Bust?," IMF Working Papers 2011/241, International Monetary Fund.
    35. 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.
    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. Zafer Adali & Bilgin Bari, 2017. "Monetary Policy And Bank Lending Chanel in Turkey," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(2), pages 24-36, April.
    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. Berrak Bahadir & Neven Valev, 2023. "Global Liquidity and Household Credit Growth," Open Economies Review, Springer, vol. 34(5), pages 1039-1061, November.
    4. Ms. Mercedes Garcia-Escribano & Mr. Fei Han, 2015. "Credit Expansion in Emerging Markets: Propeller of Growth?," IMF Working Papers 2015/212, International Monetary Fund.
    5. Berrak Bahadir & Neven Valev, 2021. "Global Liquidity and Household Credit," Working Papers 2106, Florida International University, Department of Economics.
    6. Stef, Nicolae & Dimelis, Sophia, 2020. "Bankruptcy regime and the banking system," Economic Modelling, Elsevier, vol. 87(C), pages 480-495.
    7. Perugini, Cristiano & Hölscher, Jens & Collie, Simon, 2013. "Inequality, credit expansion and financial crises," MPRA Paper 51336, University Library of Munich, Germany.
    8. 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.
    9. Thi Hong Hanh Pham, 2015. "Determinants of Bank Lending," Working Papers hal-01158241, HAL.
    10. Gozgor, Giray, 2018. "Determinants of the domestic credits in developing economies: The role of political risks," Research in International Business and Finance, Elsevier, vol. 46(C), pages 430-443.
    11. 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.
    12. 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.
    13. Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).

    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. Schenkelberg, Heike & Watzka, Sebastian, 2013. "Real effects of quantitative easing at the zero lower bound: Structural VAR-based evidence from Japan," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 327-357.
    2. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    3. Britta Gehrke & Fang Yao, 2016. "Persistence and volatility of real exchange rates: the role of supply shocks revisited," Reserve Bank of New Zealand Discussion Paper Series DP2016/02, Reserve Bank of New Zealand.
    4. Juvenal, Luciana, 2011. "Sources of exchange rate fluctuations: Are they real or nominal?," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 849-876, September.
    5. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    6. Fisher, Lance A. & Huh, Hyeon-seung, 2016. "Monetary policy and exchange rates: Further evidence using a new method for implementing sign restrictions," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 177-191.
    7. Matteo Barigozzi & Antonio M. Conti & Matteo Luciani, 2014. "Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 693-714, October.
    8. Scholl, Almuth & Uhlig, Harald, 2008. "New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates," Journal of International Economics, Elsevier, vol. 76(1), pages 1-13, September.
    9. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta-Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.
    10. Mansur, Alfan, 2015. "Identifying Shocks on the Economic Fluctuations in Indonesia and US: The Role of Oil Price Shocks in a Structural Vector Autoregression Model," MPRA Paper 94018, University Library of Munich, Germany, revised 09 Jun 2015.
    11. 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.
    12. Hyeon-seung Huh & Won Soon Kwon, 2015. "Sources of Fluctuations in the Real Exchange Rates and Trade Balances of the G-7: A Sign Restriction VAR Approach," Review of International Economics, Wiley Blackwell, vol. 23(4), pages 715-737, September.
    13. Fisher, Lance A. & Huh, Hyeon-seung, 2019. "An IV framework for combining sign and long-run parametric restrictions in SVARs," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    14. Cross, Jamie, 2019. "On the reduced macroeconomic volatility of the Australian economy: Good policy or good luck?," Economic Modelling, Elsevier, vol. 77(C), pages 174-186.
    15. Finlay, Richard & Jääskelä, Jarkko P., 2014. "Credit supply shocks and the global financial crisis in three small open economies," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 270-276.
    16. Oladunni, Sunday, 2019. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria," MPRA Paper 98639, University Library of Munich, Germany.
    17. Gehrke, Britta & Yao, Fang, 2017. "Are supply shocks important for real exchange rates? A fresh view from the frequency-domain," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 99-114.
    18. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    19. Maas, Daniel & Mayer, Eric & Rüth, Sebastian K., 2018. "Current account dynamics and the housing cycle in Spain," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 22-43.
    20. Fratzscher, Marcel & Juvenal, Luciana & Sarno, Lucio, 2010. "Asset prices, exchange rates and the current account," European Economic Review, Elsevier, vol. 54(5), pages 643-658, July.

    More about this item

    Keywords

    WP; monetary policy; aggregate demand; rapid credit growth; credit booms; emerging Asia; SVAR; Bayesian estimation; sign restrictions; shock identification; credit growth; monetary policy shock; credit dynamics; EMAS monetary policy; credit boom; credit shock; EMAS credit variation; aggregate demand demand shock; Credit; Structural vector autoregression; Exchange rate flexibility; Credit booms; Short term interest rates; Asia and Pacific; Global; Europe;
    All these keywords.

    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

    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:2012/043. See general information about how to correct material in RePEc.

    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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.