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International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model

Author

Listed:
  • Ludmila Fadejeva

    (Bank of Latvia)

  • Martin Feldkircher
  • Thomas Reininger

Abstract

In this paper, we examine international transmission of the negative credit supply shock, which originated in the euro area and the US. We use the multi-country global vector autoregression (GVAR) approach with trade and bilateral banking exposures as weights, and identify five structural shocks via sign restrictions. Special focus of this research is on CESEE – a region that shares strong financial linkages with the euro area. Our main results are as follows. First, US-specific shocks account for a significant share in explaining the deviations from growth trends in output and total credit in both the euro area and the US; second, compared to a domestic aggregate demand shock, the economic downturn caused by the credit supply shock in the US and the euro area can bring more harm in the long run, yet the international spillover of the former is stronger; third, the transmission of euro area shocks to emerging Europe is faster and more pronounced compared to US shocks; fourth, there is strong heterogeneity in responses of emerging Europe to shocks in the euro area and the US.

Suggested Citation

  • Ludmila Fadejeva & Martin Feldkircher & Thomas Reininger, 2014. "International Transmission of Credit Shocks: Evidence from Global Vector Autoregression Model," Working Papers 2014/05, Latvijas Banka.
  • Handle: RePEc:ltv:wpaper:201405
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    References listed on IDEAS

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    1. Pinar Yesin, 2013. "Foreign currency loans and systemic risk in Europe," Review, Federal Reserve Bank of St. Louis, vol. 95(May), pages 219-236.
    2. Martin Feldkircher & Florian Huber, 2014. "The International Transmission of U.S. Structural Shocks – Evidence from Global Vector Autoregressions," Working Papers 195, Oesterreichische Nationalbank (Austrian Central Bank).
    3. 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.
    4. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
    5. Peter Backé & Martin Feldkircher & Tomáš Slacík, 2013. "Economic Spillovers from the Euro Area to the CESEE Region via the Financial Channel: A GVAR Approach," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 50-64.
    6. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
    7. Peek, Joe & Rosengren, Eric S & Tootell, Geoffrey M B, 2003. "Identifying the Macroeconomic Effect of Loan Supply Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(6), pages 931-946, December.
    8. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    9. 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.
    10. Pesaran, Mohammad Hashem & Holly, Sean & Dees, Stephane & Smith, L. Vanessa, 2007. "Long Run Macroeconomic Relations in the Global Economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-20.
    11. Bassett, William F. & Chosak, Mary Beth & Driscoll, John C. & Zakrajšek, Egon, 2014. "Changes in bank lending standards and the macroeconomy," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 23-40.
    12. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    13. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    14. Garratt, Anthony & Lee, Kevin & Pesaran, M. Hashem & Shin, Yongcheol, 2012. "Global and National Macroeconometric Modelling: A Long-Run Structural Approach," OUP Catalogue, Oxford University Press, number 9780199650460.
    15. Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
    16. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    17. M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2007. "What if the UK or Sweden had joined the euro in 1999? An empirical evaluation using a Global VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 55-87.
    18. 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.
    19. Chudik, Alexander & Fratzscher, Marcel, 2011. "Identifying the global transmission of the 2007-2009 financial crisis in a GVAR model," European Economic Review, Elsevier, vol. 55(3), pages 325-339, April.
    20. Mauricio Calani C. & Pablo García S. & Daniel Oda Z., 2010. "Supply and Demand Identification in the Credit Market," Working Papers Central Bank of Chile 571, Central Bank of Chile.
    21. Florian Huber & Jesus Crespo-Cuaresma & Martin Feldkircher, 2014. "Forecasting with Bayesian Global Vector Autoregressions," ERSA conference papers ersa14p25, European Regional Science Association.
    22. Fratzscher, Marcel & Saborowski, Christian & Straub, Roland, 2009. "Monetary Policy Shocks and Portfolio Choice," Working Paper Series 1122, European Central Bank.
    23. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 345-361.
    24. 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.
    25. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    26. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).
    27. Burbidge, John & Harrison, Alan, 1985. "An historical decomposition of the great depression to determine the role of money," Journal of Monetary Economics, Elsevier, vol. 16(1), pages 45-54, July.
    28. Meeks, Roland, 2012. "Do credit market shocks drive output fluctuations? Evidence from corporate spreads and defaults," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 568-584.
    29. Ms. Silvia Sgherri & Mr. Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe: A Global VAR Analysis," IMF Working Papers 2009/023, International Monetary Fund.
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    More about this item

    Keywords

    credit shock; global vector autoregressions; sign restrictions;
    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
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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