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Credit, asset prices and business cycles at the global level

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  • Dees, Stéphane

Abstract

This paper assesses the role of financial variables in real economic fluctuations, in view of analysing the link between financial cycles and business cycles at the global level. A Global VAR modelling approach is used to first assess the contribution of credit and asset price variables to real economic activity in a number of countries and regions. The GVAR model is based on 38 countries estimated over 1987–2013. An analysis on a sample excluding the post-financial crisis period is also provided to check whether financial variables have gained importance in explaining business cycle fluctuations over the recent past. In a second step, financial shocks are identified through sign restrictions in order to illustrate how financial and business cycles could be related. Overall, the paper shows that the importance of credit and asset price variables in explaining real economic fluctuations is relatively large, but has not significantly increased since the global financial crisis. The international transmission of financial shocks on business cycle fluctuations also tends to be large and persistent.

Suggested Citation

  • Dees, Stéphane, 2016. "Credit, asset prices and business cycles at the global level," Economic Modelling, Elsevier, vol. 54(C), pages 139-152.
  • Handle: RePEc:eee:ecmode:v:54:y:2016:i:c:p:139-152
    DOI: 10.1016/j.econmod.2015.12.027
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    Cited by:

    1. Juan Carlos Cuestas & Karsten Staehr, 2017. "The Great Leveraging in the European crisis countries: Domestic credit and net foreign liabilities," Journal of Economic Studies, Emerald Group Publishing, vol. 44(6), pages 895-910, November.
    2. Garbers, Chris & Liu, Guangling, 2018. "Macroprudential policy and foreign interest rate shocks: A comparison of loan-to-value and capital requirements," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 683-698.
    3. Deba Prasad Rath & Pratik Mitra & Joice John, 2017. "A Measure of Finance-Neutral Output Gap for India," Working Papers id:11986, eSocialSciences.
    4. Chen, Y. & He, M. & Rudkin, S., 2017. "Understanding Chinese provincial real estate investment: A Global VAR perspective," Economic Modelling, Elsevier, vol. 67(C), pages 248-260.
    5. Chris Garbers & Guangling Liu, 2017. "Macroprudential policy and foreign interest rate shocks: A comparison of different instruments and regulatory regimes," Working Papers 15/2017, Stellenbosch University, Department of Economics.
    6. 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.
    7. Sturn, Simon & Epstein, Gerald, 2021. "How much should we trust five-year averaging to purge business cycle effects? A reassessment of the finance-growth and capital accumulation-unemployment nexus," Economic Modelling, Elsevier, vol. 96(C), pages 242-256.
    8. 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.

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    More about this item

    Keywords

    International transmission of shocks; Financial cycle; Business cycle; GVAR model;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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