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Monetary Policy and Inflation Expectations in Latin America: Long‐Run Effects and Volatility Spillovers

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  • LUIZ DE MELLO
  • DIEGO MOCCERO

Abstract

This paper uses multiple cointegration analysis to estimate simultaneously a monetary reaction function and the determinants of expected inflation for Brazil, Chile, Colombia, and Mexico. In addition, M‐GARCH modeling is used to test for the presence of volatility spillovers between the monetary stance and inflation expectations. The analysis shows that there are long‐term relationships between the interest rate, expected inflation, and the inflation target, and that greater volatility in the monetary stance increases the volatility of expected inflation in Brazil, Colombia, and Mexico.

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  • Luiz De Mello & Diego Moccero, 2009. "Monetary Policy and Inflation Expectations in Latin America: Long‐Run Effects and Volatility Spillovers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1671-1690, December.
    • Handle: RePEc:wly:jmoncb:v:41:y:2009:i:8:p:1671-1690
    DOI: 10.1111/j.1538-4616.2009.00273.x
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    Cited by:

    1. Ana Aguilar & Carlo Alcaraz Pribaz & Victoria Nuguer & Jessica Roldán-Peña, 2022. "Monetary policy announcements and expectations: the case of Mexico," BIS Working Papers 1026, Bank for International Settlements.
    2. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    3. Jean‐Yves Gnabo & Luiz De Mello & Diego Moccero, 2010. "Interdependencies between Monetary Policy and Foreign Exchange Interventions under Inflation Targeting: The Case of Brazil and the Czech Republic," International Finance, Wiley Blackwell, vol. 13(2), pages 195-221, August.
    4. repec:cnb:ocpubc:10 is not listed on IDEAS
    5. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    6. Oscar Andrés Espinosa Acuna & Paola Andrea Vaca González, 2017. "Ajuste de modelos garch clásico y bayesiano con innovaciones t—student para el índice COLCAP," Revista de Economía del Caribe 17172, Universidad del Norte.
    7. Monica Brezzi & Luiz de Mello, 2016. "Inequalities in Latin America: Trends and implications for Policy," Hacienda Pública Española / Review of Public Economics, IEF, vol. 219(4), pages 93-120, December.
    8. Roman Horváth & Jakub Matějů, 2011. "How Are Inflation Targets Set?," International Finance, Wiley Blackwell, vol. 14(2), pages 265-300, June.
    9. de Mello, Luiz & Moccero, Diego, 2011. "Monetary policy and macroeconomic stability in Latin America: The cases of Brazil, Chile, Colombia and Mexico," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 229-245, February.
    10. repec:cnb:ocpubv:01 is not listed on IDEAS
    11. Edilean Silva Bejarano Aragón & Gabriela Medeiros, 2015. "Monetary policy in Brazil: evidence of a reaction function with time-varying parameters and endogenous regressors," Empirical Economics, Springer, vol. 48(2), pages 557-575, March.
    12. Mohamed Tahar Benkhodja, 2014. "Monetary policy and the Dutch disease effect in an oil exporting economy," International Economics, CEPII research center, issue 138, pages 78-102.
    13. Scott W. Hegerty, 2014. "Interest-rate volatility and volatility transmission in nine Latin American countries," Applied Financial Economics, Taylor & Francis Journals, vol. 24(13), pages 927-937, July.
    14. Roman Horváth, 2008. "Undershooting of the Inflation Target in the Czech Republic: The Role of Inflation Expectations," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(09-10), pages 482-492, December.
    15. Fortun Vargas, Jonathan, 2012. "Monetary dynamics in post inflation Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 18, pages 65-104, Noviembre.
    16. Luis Fernando Colunga Ramos, 2024. "The Loan Puzzle in Mexico," Working Papers 2024-15, Banco de México.
    17. Tomás Marinozzi & Mariano Fernández, 2020. "Una breve revisón sobre la literatura de las metas de inflación," CEMA Working Papers: Serie Documentos de Trabajo. 755, Universidad del CEMA.
    18. Luiz de Mello & Diego Moccero, 2006. "Consolidating Macroeconomic Adjustment in Brazil," OECD Economics Department Working Papers 531, OECD Publishing.
    19. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Annette Meinusch, 2017. "When the Fed sneezes - Spillovers from U.S. Monetary Policy to Emerging Markets," MAGKS Papers on Economics 201730, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    21. Oscar Andrés Espinosa Acuna & Paola Andrea Vaca González, 2017. "Ajuste de modelos garch clásico y bayesiano con innovaciones t—student para el índice COLCAP," Revista de Economía del Caribe 17147, Universidad del Norte.

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