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

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  • Pérez-Quirós, Gabriel
  • Camacho, Máximo

Abstract

We analyze the dynamic interactions between commodity prices and output growth of the seven greatest exporters Latin American countries: Argentina, Brazil, Colombia, Chile, Mexico, Peru and Venezuela. Using a novel definition of Markov-switching impulse response functions, we find that the responses of their respective output growths to commodity price shocks are 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 the economic activity vary considerably across business cycle regimes.

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  • Pérez-Quirós, Gabriel & Camacho, Máximo, 2013. "Commodity prices and the business cycle in Latin America: Living and dying by commodities?," CEPR Discussion Papers 9367, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:9367
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    5. Karamé, F., 2012. "An algorithm for generalized impulse-response functions in Markov-switching structural VAR," Economics Letters, Elsevier, vol. 117(1), pages 230-234.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Fossati, Sebastian, 2014. "Output Growth and Commodity Prices in Latin America: What Has Changed?," Working Papers 2014-11, University of Alberta, Department of Economics.
    14. 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.
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    More about this item

    Keywords

    Emerging markets; Non linearities;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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