IDEAS home Printed from https://ideas.repec.org/a/ijf/ijfiec/v10y2005i4p289-306.html
   My bibliography  Save this article

The Brazilian currency turmoil of 2002: a nonlinear analysis

Author

Listed:
  • Manuela Goretti

    (University of Warwick, UK)

Abstract

This paper investigates the main sources of instability in Brazil during the currency and financial distress episode of 2002. We test for financial contagion from the Argentine crisis and the impact of factors including IMF intervention and political uncertainty in raising the probability of crisis. The empirical investigation employs a Markov-switching model with endogenous transition probabilities. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Manuela Goretti, 2005. "The Brazilian currency turmoil of 2002: a nonlinear analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 289-306.
    • Handle: RePEc:ijf:ijfiec:v:10:y:2005:i:4:p:289-306
    DOI: 10.1002/ijfe.273
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/ijfe.273
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: https://libkey.io/10.1002/ijfe.273?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Heinemann, Frank & Illing, Gerhard, 2002. "Speculative attacks: unique equilibrium and transparency," Journal of International Economics, Elsevier, vol. 58(2), pages 429-450, December.
    2. Marcel Fratzscher, 2003. "On currency crises and contagion," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(2), pages 109-129.
    3. Morris, Stephen & Shin, Hyun Song, 1998. "Unique Equilibrium in a Model of Self-Fulfilling Currency Attacks," American Economic Review, American Economic Association, vol. 88(3), pages 587-597, June.
    4. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    5. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845.
    6. Carlo Ambrogio Favero & Francesco Giavazzi, "undated". "Why are Brazil´s Interest Rates so High?," Working Papers 224, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    8. Jeanne, Olivier & Masson, Paul, 2000. "Currency crises, sunspots and Markov-switching regimes," Journal of International Economics, Elsevier, vol. 50(2), pages 327-350, April.
    9. Marcello Pericoli & Massimo Sbracia, 2003. "A Primer on Financial Contagion," Journal of Economic Surveys, Wiley Blackwell, vol. 17(4), pages 571-608, September.
    10. Bussiere, Matthieu & Mulder, Christian, 2000. "Political Instability and Economic Vulnerability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(4), pages 309-330, October.
    11. Albert, James H & Chib, Siddhartha, 1993. "Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 1-15, January.
    12. Morris, Stephen & Shin, Hyun Song, 2006. "Catalytic finance: When does it work?," Journal of International Economics, Elsevier, vol. 70(1), pages 161-177, September.
    13. Morris Goldstein, 2003. "Debt Sustainability, Brazil, and the IMF," Working Paper Series WP03-1, Peterson Institute for International Economics.
    14. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    15. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    16. Corsetti, Giancarlo & Guimaraes, Bernardo & Roubini, Nouriel, 2006. "International lending of last resort and moral hazard: A model of IMF's catalytic finance," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 441-471, April.
    17. Hellwig, Christian, 2002. "Public Information, Private Information, and the Multiplicity of Equilibria in Coordination Games," Journal of Economic Theory, Elsevier, vol. 107(2), pages 191-222, December.
    18. Tillmann, Peter, 2004. "Disparate information and the probability of currency crises: empirical evidence," Economics Letters, Elsevier, vol. 84(1), pages 61-68, July.
    19. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    20. Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 132-150, Autumn.
    21. Roberto Chang, 2006. "Electoral Uncertainty and the Volatility of International Capital Flows," NBER Working Papers 12448, National Bureau of Economic Research, Inc.
    22. Mr. M. Sbracia & Mr. Alessandro Prati, 2002. "Currency Crises and Uncertainty About Fundamentals," IMF Working Papers 2002/003, International Monetary Fund.
    23. Miller, Marcus & Thampanishvong, Kannika, 2003. "Learning to Forget? Contagion and Political Risk in Brazil," CEPR Discussion Papers 3785, C.E.P.R. Discussion Papers.
    24. Calvo, Guillermo A, 1996. "Capital Flows and Macroeconomic Management: Tequila Lessons," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 1(3), pages 207-223, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sumru Altug & Cem Cakmakli, 2014. "Inflation Targeting and Inflation Expectations: Evidence for Brazil and Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1413, Koc University-TUSIAD Economic Research Forum.
    2. Juan Carlos Hatchondo & Leonardo Martinez, 2010. "The politics of sovereign defaults," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 96(3Q), pages 291-317.
    3. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    4. Scholl, Almuth, 2023. "The politics of redistribution and sovereign default," Working Papers 13, University of Konstanz, Cluster of Excellence "The Politics of Inequality. Perceptions, Participation and Policies".
    5. Scholl, Almuth, 2017. "The dynamics of sovereign default risk and political turnover," Journal of International Economics, Elsevier, vol. 108(C), pages 37-53.
    6. Prein, Timm M. & Scholl, Almuth, 2021. "The impact of bailouts on political turnover and sovereign default risk," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    7. Juan Carlos Hatchondo & Leonardo Martinez & Horacio Sapriza, 2009. "Heterogeneous Borrowers In Quantitative Models Of Sovereign Default," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1129-1151, November.
    8. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

    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. Piersanti, Giovanni, 2012. "The Macroeconomic Theory of Exchange Rate Crises," OUP Catalogue, Oxford University Press, number 9780199653126.
    2. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    3. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    4. Hamilton, J.D., 2016. "Macroeconomic Regimes and Regime Shifts," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 163-201, Elsevier.
    5. Chung-Ming Kuan, 2013. "Markov switching model (in Russian)," Quantile, Quantile, issue 11, pages 13-40, December.
    6. Mouratidis, Kostas, 2008. "Evaluating currency crises: A Bayesian Markov switching approach," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1688-1711, December.
    7. Bannier, Christina E., 2003. "Privacy or Publicity - Who Drives the Wheel?," CFS Working Paper Series 2003/29, Center for Financial Studies (CFS).
    8. Penelope A. Smith & Peter M. Summers, 2005. "How well do Markov switching models describe actual business cycles? The case of synchronization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 253-274.
    9. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
    10. Koehler-Geib, Friederike Norma, 2008. "The Effect of Uncertainty on the Occurrence and Spread of Financial Crises," Munich Dissertations in Economics 8067, University of Munich, Department of Economics.
    11. Morris, Stephen & Shin, Hyun Song, 2004. "Coordination risk and the price of debt," European Economic Review, Elsevier, vol. 48(1), pages 133-153, February.
    12. Jean-Pierre Allegret & Camille Cornand, 2006. "The pros and cons of higher transparency: the case of speculative attacks," Recherches économiques de Louvain, De Boeck Université, vol. 72(3), pages 215-246.
    13. Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
    14. Tan, Siow-Hooi & Habibullah, Muzafar Shah, 2007. "Business cycles and monetary policy asymmetry: An investigation using Markov-switching models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 297-306.
    15. Agnello, Luca & Dufrénot, Gilles & Sousa, Ricardo M., 2013. "Using time-varying transition probabilities in Markov switching processes to adjust US fiscal policy for asset prices," Economic Modelling, Elsevier, vol. 34(C), pages 25-36.
    16. Aloui, Chaker & Jammazi, Rania, 2009. "The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach," Energy Economics, Elsevier, vol. 31(5), pages 789-799, September.
    17. Daniel Aromi & Marcos Dal Bianco, 2014. "Un analisis de los desequilibrios del tipo de cambio real argentino bajo cambios de regimen," Working Papers 1431, BBVA Bank, Economic Research Department.
    18. Daniëls, Tijmen R. & Jager, Henk & Klaassen, Franc, 2011. "Currency crises with the threat of an interest rate defence," Journal of International Economics, Elsevier, vol. 85(1), pages 14-24, September.
    19. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.
    20. Zakipour-Saber, Shayan, 2019. "State-dependent Monetary Policy Regimes," Research Technical Papers 4/RT/19, Central Bank of Ireland.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

    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:ijf:ijfiec:v:10:y:2005:i:4:p:289-306. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1076-9307/ .

    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.