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Commonalities and cross-country spillovers in macroeconomic-financial linkages

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  • Ciccarelli Matteo

    (European Central Bank – DG-Research, Sonnemannstrasse 22, D-60314 Frankfurt am Main, Germany)

  • Ortega Eva

    (Banco de España, Madrid, Spain)

  • Valderrama Maria Teresa

    (Oesterreichische Nationalbank, Vienna, Austria)

Abstract

In this paper, we investigate commonalities and spillovers in macro-financial linkages across developed economies. A Bayesian panel vector autoregression (VAR) model with real and financial variables identifies significant common components, especially during the Great Recession. Nevertheless, country-specific factors remain important, which is consistent with the heterogeneous behavior observed across countries over time. We also find that spillovers across countries and between real and financial variables are key to explain economic fluctuations. A shock to a variable in a given country affects all other countries, and the transmission seems to be faster and deeper between financial variables than between real variables. For a shock to a financial variable to have a noticeable effect on the real economy elsewhere, it needs to be either common to all countries or to have originated in a systemic country.

Suggested Citation

  • Ciccarelli Matteo & Ortega Eva & Valderrama Maria Teresa, 2016. "Commonalities and cross-country spillovers in macroeconomic-financial linkages," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 231-275, January.
  • Handle: RePEc:bpj:bejmac:v:16:y:2016:i:1:p:231-275:n:1
    DOI: 10.1515/bejm-2013-0120
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    References listed on IDEAS

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    Cited by:

    1. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    2. Houssa, Romain & Mohimont, Jolan & Otrok, Christopher, 2023. "Commodity exports, financial frictions, and international spillovers," European Economic Review, Elsevier, vol. 158(C).
    3. Camehl, Annika, 2023. "Penalized estimation of panel vector autoregressive models: A panel LASSO approach," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1185-1204.
    4. Schnücker, A.M., 2019. "Penalized Estimation of Panel Vector Autoregressive Models," Econometric Institute Research Papers EI-2019-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction between Financial and Business Cycles," Post-Print hal-01692239, HAL.
    6. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    7. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2019. "Non-Gaussian VARMA model with stochastic volatility and applications in stock market bubbles," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 129-136.
    8. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    9. Narcissa Balta & Bořek Vašíček, 2020. "Financial channels and economic activity in the euro area: a large-scale Bayesian VAR approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 431-451, May.
    10. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    11. Aubrey Poon, 2018. "Assessing the Synchronicity and Nature of Australian State Business Cycles," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 372-390, December.

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