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Commodity prices and the business cycle in Latin America: Living and dying by commodities

Author

Listed:
  • Maximo Camacho

    (Universidad de Murcia)

  • Gabriel Perez-Quiros

    (Banco de España and CEPR)

Abstract

We analyze the dynamic interactions between commodity prices and output growth of the seven biggest Latin American exporters: Argentina, Brazil, Colombia, Chile, Mexico, Peru and Venezuela. Using a novel defi nition of Markovswitching impulse response functions, we fi nd that the response of their respective output growth to commodity price shocks is time-dependent, size-dependent and sign-dependent. Overall, the major evidence of asymmetries in output growth responses occurs when commodity price shocks lead to regime shifts. Accordingly, we consider that the design of optimal counter-cyclical stabilization policies in this region should take into account that the reactions of economic activity vary considerably across business cycle regimes.

Suggested Citation

  • Maximo Camacho & Gabriel Perez-Quiros, 2013. "Commodity prices and the business cycle in Latin America: Living and dying by commodities," Working Papers 1304, Banco de España.
    • Handle: RePEc:bde:wpaper:1304
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    Cited by:

    1. Douglas Kiarelly Godoy de Araujo & Fernando Linardi & Luis Vissotto, 2025. "Supply chain transmission of climate-related physical risks," BIS Working Papers 1260, Bank for International Settlements.
    2. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
    3. Karamé, F., 2012. "An algorithm for generalized impulse-response functions in Markov-switching structural VAR," Economics Letters, Elsevier, vol. 117(1), pages 230-234.
    4. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2019. "A Test of Using Markov-Switching GARCH Models in Oil and Natural Gas Trading," Energies, MDPI, vol. 13(1), pages 1-24, December.
    5. Naraidoo, Ruthira & Paez-Farrell, Juan, 2023. "Commodity price shocks, labour market dynamics and monetary policy in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    6. Jorge Fornero & Markus Kirchner & Andrés Yany, 2015. "Terms of Trade Shocks and Investment in Commodity-Exporting Economies," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Caputo & Roberto Chang (ed.),Commodity Prices and Macroeconomic Policy, edition 1, volume 22, chapter 5, pages 135-193, Central Bank of Chile.
    7. Josef C. Brada & Jan KubÃ­Ä ek & Ali M. Kutan & Vladimír Tomšík, 2015. "Inflation Targeting: Insights from Behavioral Economics," Eastern European Economics, Taylor & Francis Journals, vol. 53(5), pages 357-376, September.
    8. Ameyaw, Emmanuel, 2024. "Business cycles in a cocoa and gold economy: Commodity price shocks do not always matter," Resources Policy, Elsevier, vol. 91(C).
    9. Sebastian Fossati, 2014. "Output Growth and Commodity Prices in Latin America: What Has Changed?," Working Papers 2014-11, University of Alberta, Department of Economics.
    10. Werner Kristjanpoller & Josephine E. Olson & Rodolfo I. Salazar, 2016. "Does the commodities boom support the export led growth hypothesis? Evidence from Latin American countries," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-13, December.
    11. Ercio Muñoz S. & Mariel C. Siravegna, 2013. "¿Tiene un Impacto el Precio de las Materias Primas Sobre las Bolsas de América Latina?," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(3), pages 102-118, December.
    12. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2021. "A Markov-Switching VSTOXX Trading Algorithm for Enhancing EUR Stock Portfolio Performance," Mathematics, MDPI, vol. 9(9), pages 1-28, May.
    13. Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2015. "Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle," Energy Policy, Elsevier, vol. 87(C), pages 72-82.
    14. Alarcon Gambarte, Samuel, 2019. "Shocks de precios internacionales bajo incertidumbre estocástica [International Prices Shocks under Stochastic Uncertainty]," MPRA Paper 97116, University Library of Munich, Germany.
    15. Oscar V. De la Torre-Torres & José Álvarez-García & María de la Cruz del Río-Rama, 2024. "An EM/MCMC Markov-Switching GARCH Behavioral Algorithm for Random-Length Lumber Futures Trading," Mathematics, MDPI, vol. 12(3), pages 1-20, February.
    16. Alejandro Torres-García & Jaime Montoya-Arbeláez & Laura Wberth-Escobar, 2022. "Commodity price shocks and the balance sheet effect in emerging economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2081-2110, November.
    17. Oscar V. Torre-Torres & Leticia Bollain‑Parra & Amador Durán-Sánchez, 2025. "The use of Markov-Switching GARCH models in a Mexican rice spot price hedging algorithm with CME rice futures," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2253-2283, June.
    18. Aviral K. Tiwari & Claudiu T. Albulescu & Rangan Gupta, 2016. "Time-frequency relationship between US output with commodity and asset prices," Applied Economics, Taylor & Francis Journals, vol. 48(3), pages 227-242, January.
    19. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
    20. Ftiti, Zied & Kablan, Sandrine & Guesmi, Khaled, 2016. "What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries," Energy Economics, Elsevier, vol. 60(C), pages 313-324.
    21. Gustavo Henrique Leite de Castro & Carlos R. Azzoni, 2025. "Importações e mudanças estruturais na indústria brasileira, 2003-2018: Uma análise de decomposição estrutural [Imports and structural changes in the Brazilian industry, 2003–2018: A structural deco," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 19(4), pages 559-585, October.
    22. Koursaros, Demetris & Michail, Nektarios & Savva, Christos, 2024. "Examining the behaviour of inflation to supply and demand shocks using an MS-VAR model," Economic Modelling, Elsevier, vol. 141(C).
    23. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    24. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.

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    Keywords

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    JEL classification:

    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • Y - Miscellaneous Categories
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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