IDEAS home Printed from https://ideas.repec.org/a/fgv/epgrbe/v76y2023i3a82691.html
   My bibliography  Save this article

Global Shocks and Emerging Economies: Disentangling the Commodity Roller Coaster

Author

Listed:
  • Ferreira, Mauro Sayar
  • Valério, André Cordeiro

Abstract

Shocks in commodity prices are viewed as a major driver of emerging economies’ business cycle. We show this is not the case for Brazil, Chile, Colombia, and Peru when a structural vector autoregressive model accounts for macro-finance linkages at world and domestic levels. The presence of a global financial variable modifies established results as it endogenously influences commodity prices. Global demand shocks have been the main external driver of the business cycle in Brazil, Chile, and Peru, while global economic uncertainty shocks have been the main international driver of the Colombian GDP.

Suggested Citation

  • Ferreira, Mauro Sayar & Valério, André Cordeiro, 2023. "Global Shocks and Emerging Economies: Disentangling the Commodity Roller Coaster," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 76(3), February.
    • Handle: RePEc:fgv:epgrbe:v:76:y:2023:i:3:a:82691
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/rbe/article/view/82691
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    2. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    3. Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2018. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 810-854.
    4. Akıncı, Özge, 2013. "Global financial conditions, country spreads and macroeconomic fluctuations in emerging countries," Journal of International Economics, Elsevier, vol. 91(2), pages 358-371.
    5. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    6. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    7. Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauro Sayar Ferreira & André Cordeiro Valério, 2020. "Global shocks and emerging economies: disentangling the commodity roller coaster," Textos para Discussão Cedeplar-UFMG 623, Cedeplar, Universidade Federal de Minas Gerais.
    2. Leeper, Eric M. & Zha, Tao, 2003. "Modest policy interventions," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1673-1700, November.
    3. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    4. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    5. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    6. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    7. Fabian Fink & Yves S. Schüler, 2013. "The Transmission of US Financial Stress: Evidence for Emerging Market Economies," Working Paper Series of the Department of Economics, University of Konstanz 2013-01, Department of Economics, University of Konstanz.
    8. Margaux MacDonald & Michał Ksawery Popiel, 2020. "Unconventional Monetary Policy in a Small Open Economy," Open Economies Review, Springer, vol. 31(5), pages 1061-1115, November.
    9. Barraza, Santiago & Civelli, Andrea, 2020. "Economic policy uncertainty and the supply of business loans," Journal of Banking & Finance, Elsevier, vol. 121(C).
    10. Francis Neville & Owyang Michael T. & Sekhposyan Tatevik, 2012. "The Local Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(2), pages 1-38, March.
    11. Hening Liu & Yuzhao Zhang, 2022. "Financial Uncertainty with Ambiguity and Learning," Management Science, INFORMS, vol. 68(3), pages 2120-2140, March.
    12. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    13. Warne, Anders & Villani, Mattias, 2003. "Monetary policy analysis in a small open economy using Bayesian cointegrated structural VARs," Working Paper Series 296, European Central Bank.
    14. Liu, Zheng & Miao, Jianjun & Zha, Tao, 2016. "Land prices and unemployment," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 86-105.
    15. Marek Jarociński & Bartosz Maćkowiak, 2017. "Granger Causal Priority and Choice of Variables in Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 319-329, May.
    16. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    17. Rokon Bhuiyan, 2012. "Monetary transmission mechanisms in a small open economy: a Bayesian structural VAR approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 1037-1061, August.
    18. Stéphane Lhuissier & Fabien Tripier, 2021. "Regime‐dependent effects of uncertainty shocks: A structural interpretation," Quantitative Economics, Econometric Society, vol. 12(4), pages 1139-1170, November.
    19. Fink, Fabian & Schüler, Yves S., 2015. "The transmission of US systemic financial stress: Evidence for emerging market economies," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 6-26.
    20. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fgv:epgrbe:v:76:y:2023:i:3:a:82691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/epgvfbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.