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Macro-financial linkages: Evidence from country-specific VARs

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  • Paolo Guarda

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  • Philippe Jeanfils

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Abstract

This paper estimates the contribution of financial shocks to fluctuations in the real economy by augmenting the standard macroeconomic vector autoregression (VAR) with five financial variables (real stock prices, real house prices, term spread, loans-to-GDP ratio and loans-todeposits ratio). This VAR is estimated separately for 19 industrialised countries over 1980Q1-2010Q4 using three alternative measures of economic activity: GDP, private consumption or total investment. Financial shocks are identified by imposing a recursive structure (Choleski decomposition). Several results stand out. First, the effect of financial shocks on the real economy is fairly heterogeneous across countries, confirming previous findings in the literature. Second, the five financial shocks provide a surprisingly large contribution to explaining real fluctuations (33% of GDP variance at the 3-year horizon on average across countries) exceeding the contribution from monetary policy shocks. Third, the most important source of real fluctuations appears to be shocks to asset prices (real stock prices account for 12% of GDP variance and real house prices for 9%). Shocks to the term spread or to leverage (credit-to-GDP ratio or loans-to-deposits ratio) each contribute an additional 3-4% of GDP variance. Fourth, the combined contribution of the five financial shocks is usually higher for fluctuations in investment than in private consumption. Fifth, historical decompositions indicate that financial shocks provide much more important contributions to output fluctuations during episodes associated with financial imbalances (both booms and busts). This suggests possible time-variation or non-linearities in macrofinancial linkages that are left for future research.

Suggested Citation

  • Paolo Guarda & Philippe Jeanfils, 2012. "Macro-financial linkages: Evidence from country-specific VARs," BCL working papers 71, Central Bank of Luxembourg.
  • Handle: RePEc:bcl:bclwop:bclwp071
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    References listed on IDEAS

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    1. repec:taf:apeclt:v:23:y:2016:i:6:p:449-456 is not listed on IDEAS
    2. Matei KUBINSCHI & Dinu BARNEA, 2016. "Systemic Risk Impact on Economic Growth - The Case of the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 79-94, December.
    3. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial shocks and the real economy in a nonlinear world: a survey of the theoretical and empirical literature," Questioni di Economia e Finanza (Occasional Papers) 255, Bank of Italy, Economic Research and International Relations Area.
    4. 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.
    5. Hiona Balfoussia & Heather D. Gibson, 2016. "Financial conditions and economic activity: the potential impact of the targeted long-term refinancing operations (TLTROs)," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 449-456, April.

    More about this item

    Keywords

    vector autoregression; business cycle; financial shock; asset prices; credit;

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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

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