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The role of credit in international business cycles

Author

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  • Xu, T.T.
Abstract
The recent financial crisis raises important issues about the role of credit in international business cycles and the transmission of financial shocks across country borders. This paper investigates the international spillover of US credit shocks and the importance of credit in explaining business cycle fluctuations using a global vector autoregressive (GVAR) model with credit, estimated over the period 1979Q2 to 2006Q4 for 26 major advanced and emerging economies. Results from the country-specific models reveal the importance of bank credit in explaining output growth, changes in inflation and long term interest rates in countries with developed banking sector. The generalized impulse response function (GIRF) for a one standard error negative shock to US real credit provides strong evidence of the spillover of US credit shock to the UK, the Euro area, Japan and other industrialized economies.

Suggested Citation

  • Xu, T.T., 2012. "The role of credit in international business cycles," Cambridge Working Papers in Economics 1202, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:1202
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    Cited by:

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    2. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: A general equilibrium GVAR analysis with network theory," Annals of Tourism Research, Elsevier, vol. 66(C), pages 74-94.
    3. Seitz, Franz & Baumann, Ursel & Albuquerque, Bruno, 2015. "The information content of money and credit for US activity," Working Paper Series 1803, European Central Bank.
    4. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    5. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-75, January.
    6. Kopoin, Alexandre, 2015. "Cross-border Banking, Spillover Effects and International Business Cycles," MPRA Paper 65515, University Library of Munich, Germany, revised 06 Apr 2015.
    7. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    8. International Monetary Fund, 2017. "Spain: Financial Sector Assessment Program-Technical Note-Interconnectedness and Spillover Analysis in Spain’s Financial System," IMF Staff Country Reports 2017/344, International Monetary Fund.
    9. Nina Biljanovska & Alexis Meyer-Cirkel, 2016. "Testing Shock Transmission Channels to Low-Income Developing Countries," IMF Working Papers 2016/102, International Monetary Fund.
    10. Mrs. Jana Bricco & Ms. TengTeng Xu, 2019. "Interconnectedness and Contagion Analysis: A Practical Framework," IMF Working Papers 2019/220, International Monetary Fund.
    11. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    12. Milcheva, Stanimira, 2013. "Cross-country effects of regulatory capital arbitrage," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5329-5345.
    13. Xue, Wenjun & Zhang, Liwen, 2019. "Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    14. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    15. Juan Guillermo Bedoya Ospina, 2017. "Ciclos de crédito, liquidez global y regímenes monetarios: una aproximación para América Latina," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78, February.
    16. Huidan Xue & Chenguang Li & Liming Wang & Wen-Hao Su, 2021. "Spatial Price Transmission and Price Dynamics of Global Butter Export Market under Economic Shocks," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    17. Albuquerque, Bruno & Baumann, Ursel & Seitz, Franz, 2016. "What does money and credit tell us about real activity in the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 328-347.
    18. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
    19. James Morley, 2016. "Macro-Finance Linkages," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 698-711, September.
    20. Samargandi, Nahla & Kutan, Ali M. & Sohag, Kazi & Alqahtani, Faisal, 2020. "Equity market and money supply spillovers and economic growth in BRICS economies: A global vector autoregressive approach," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    21. Kopoin, Alexandre & Moran, Kevin & Paré, Jean-Pierre, 2014. "Bank Capital, Credit Market Frictions and International Shocks Transmission," MPRA Paper 65512, University Library of Munich, Germany, revised 10 Nov 2014.
    22. Samargandi, Nahla & Kutan, Ali M., 2016. "Private credit spillovers and economic growth: Evidence from BRICS countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 56-84.
    23. M. Hashem Pesaran & TengTeng Xu, 2013. "Business Cycle Effects of Credit Shocks in a DSGE Model with Firm Defaults," Staff Working Papers 13-19, Bank of Canada.
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    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
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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