IDEAS home Printed from https://ideas.repec.org/a/eee/jimfin/v31y2012i6p1371-1391.html
   My bibliography  Save this article

Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants

Author

Listed:
  • Carvalho, Fabia A.
  • Minella, André

Abstract

This paper assesses the behavior of survey forecasts in Brazil during the inflation targeting regime, when managing expectations is one of the cornerstones of the conduct of monetary policy. The distinctive database of the survey conducted by the Central Bank of Brazil (BCB) among professional forecasters allows for a thorough investigation of the epidemiology, determinants, and performance of forecasts. The main results are: i) top performing forecasters are influential to other forecasters; ii) survey forecasts perform better than vector autoregressive model-based forecasts; iii) common forecast errors prevail over idiosyncratic components across respondents; iv) inflation targets play an important role in inflation expectations; and v) agents perceive the BCB as following a Taylor rule consistent with inflation targeting. The last two suggest high credibility of the monetary authority.

Suggested Citation

  • Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
  • Handle: RePEc:eee:jimfin:v:31:y:2012:i:6:p:1371-1391
    DOI: 10.1016/j.jimonfin.2012.02.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261560612000472
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jimonfin.2012.02.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ms. Inci Ötker, 2007. "Moving to Greater Exchange Rate Flexibility: Operational Aspects Based on Lessons from Detailed Country Experiences," IMF Occasional Papers 2007/005, International Monetary Fund.
    2. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    3. Colucci, Domenico & Valori, Vincenzo, 2005. "Error learning behaviour and stability revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 29(3), pages 371-388, March.
    4. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    5. Camille Cornand & Frank Heinemann, 2008. "Optimal Degree of Public Information Dissemination," Economic Journal, Royal Economic Society, vol. 118(528), pages 718-742, April.
    6. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    7. Michael Woodford, 2001. "Monetary policy in the information economy," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 297-370.
    8. Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2002. "Evaluating Wall Street Journal survey forecasters: a multivariate approach," FRB Atlanta Working Paper 2002-8, Federal Reserve Bank of Atlanta.
    9. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    10. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    11. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December.
    12. repec:pri:cepsud:161blinder is not listed on IDEAS
    13. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations and forecasts," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 1), pages 1-25.
    14. Camille Cornand & Frank Heinemann, 2008. "Optimal Degree of Public Information Dissemination," Economic Journal, Royal Economic Society, vol. 118(528), pages 718-742, April.
    15. Stephen Morris & Hyun Song Shin, 2007. "Optimal Communication," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 594-602, 04-05.
    16. Arminio Fraga & Ilan Goldfajn & André Minella, 2004. "Inflation Targeting in Emerging Market Economies," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 365-416, National Bureau of Economic Research, Inc.
    17. Afonso S Bevilaqua & Mário Mesquita & André Minella, 2008. "Brazil: taming inflation expectations," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 139-158, Bank for International Settlements.
    18. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q2), pages 17-31.
    19. Bank for International Settlements, 2008. "Transmission mechanisms for monetary policy in emerging market economies," BIS Papers, Bank for International Settlements, number 35.
    20. André Minella & Nelson F. Souza-Sobrinho, 2009. "Monetary Channels in Brazil through the Lens of a Semi-Structural Model," Working Papers Series 181, Central Bank of Brazil, Research Department.
    21. Fabia A. de Carvalho & André Minella, 2009. "Market Forecasts in Brazil: performance and determinants," Working Papers Series 185, Central Bank of Brazil, Research Department.
    22. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    23. Fabia A de Carvalho & Mauricio S. Bugarin, 2006. "Inflation Expectations in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 101-145, January.
    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. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    2. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    3. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    4. Eda Gulsen & Hakan Kara, 2020. "Formation of inflation expectations: Does macroeconomic and policy environment matter?," Koç University-TUSIAD Economic Research Forum Working Papers 2017, Koc University-TUSIAD Economic Research Forum.
    5. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    6. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    7. Ornelas, Jose Renato Haas & Silva Jr., Antonio Francisco de Almeida, 2015. "Testing the liquidity preference hypothesis using survey forecasts," Emerging Markets Review, Elsevier, vol. 23(C), pages 173-185.
    8. Bhattacharya, Rudrani & Kapoor, Mrigankshi, 2020. "Forecasting Consumer Price Index Inflation in India: Vector Error Correction Mechanism Vs. Dynamic Factor Model Approach for Non-Stationary Time Series," Working Papers 20/323, National Institute of Public Finance and Policy.
    9. Minella, André & Souza-Sobrinho, Nelson F., 2013. "Monetary policy channels in Brazil through the lens of a semi-structural model," Economic Modelling, Elsevier, vol. 30(C), pages 405-419.
    10. Marcos Bujosa & Antonio García‐Ferrer & Aránzazu de Juan & Antonio Martín‐Arroyo, 2020. "Evaluating early warning and coincident indicators of business cycles using smooth trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 1-17, January.
    11. Wagner Piazza Gaglianone, 2017. "Empirical Findings on Inflation Expectations in Brazil: a survey," Working Papers Series 464, Central Bank of Brazil, Research Department.
    12. de Oliveira, Fernando Nascimento & Gaglianone, Wagner Piazza, 2020. "Expectations anchoring indexes for Brazil using Kalman filter: Exploring signals of inflation anchoring in the long term," International Economics, Elsevier, vol. 163(C), pages 72-91.
    13. Kohlscheen, Emanuel, 2014. "The impact of monetary policy on the exchange rate: A high frequency exchange rate puzzle in emerging economies," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 69-96.
    14. Wagner Piazza Gaglianone & João Victor Issler & Silvia Maria Matos, 2017. "Applying a microfounded-forecasting approach to predict Brazilian inflation," Empirical Economics, Springer, vol. 53(1), pages 137-163, August.
    15. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    16. Arnildo da Silva Correa & Paulo Picchetti, 2016. "New Information and Updating of Market Experts’ Inflation Expectations," Working Papers Series 411, Central Bank of Brazil, Research Department.
    17. Dutra, Bernardo, 2017. "Expectations about Monetary Policy and the Behaviour of the Central Bank," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(2), November.
    18. Young Bin Ahn & Yoichi Tsuchiya, 2016. "Directional analysis of consumers’ forecasts of inflation in a small open economy: evidence from South Korea," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 854-864, February.
    19. de Freitas Val, Flávio & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gaglianone, Wagner Piazza, 2017. "Estimating the credibility of Brazilian monetary policy using a Kalman filter approach," Research in International Business and Finance, Elsevier, vol. 41(C), pages 37-53.
    20. Flávio de Freitas Val & Wagner Piazza Gaglianone & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto, 2017. "Estimating the Credibility of Brazilian Monetary Policy using Forward Measures and a State-Space Model," Working Papers Series 463, Central Bank of Brazil, Research Department.
    21. Fabia A. de Carvalho & Marcos R. de Castro, 2015. "Macroprudential and Monetary Policy Interaction: a Brazilian perspective," Working Papers Series 405, Central Bank of Brazil, Research Department.
    22. Eda Gülşen & Hakan Kara, 2021. "Policy Performance and the Behavior of Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-46, October.
    23. 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].

    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. James, Jonathan G. & Lawler, Phillip, 2012. "Heterogeneous information quality; strategic complementarities and optimal policy design," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 342-352.
    2. Anna Agliari & Domenico Massaro & Nicolò Pecora & Alessandro Spelta, 2017. "Inflation Targeting, Recursive Inattentiveness, and Heterogeneous Beliefs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1587-1619, October.
    3. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.
    4. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
    5. Meixing Dai & Moïse Sidiropoulos, 2017. "How multiplicative uncertainty affects the tradeoff between information disclosure and stabilisation policy?," Working Papers of BETA 2017-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Salle, Isabelle & Yıldızoğlu, Murat & Sénégas, Marc-Alexandre, 2013. "Inflation targeting in a learning economy: An ABM perspective," Economic Modelling, Elsevier, vol. 34(C), pages 114-128.
    7. Jonathan G. James & Phillip Lawler, 2015. "Heterogeneous private sector information, central bank disclosure, and stabilization policy," Southern Economic Journal, John Wiley & Sons, vol. 82(2), pages 620-634, October.
    8. Helder Ferreira de Mendonça & Diogo Martins Esteves, 2018. "Monetary authority's transparency and income inequality," Review of Development Economics, Wiley Blackwell, vol. 22(4), pages 202-227, November.
    9. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2016. "Are survey expectations theory-consistent? The role of central bank communication and news," European Economic Review, Elsevier, vol. 85(C), pages 84-111.
    10. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    11. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2021. "Overweighting of public information in financial markets: A lesson from the lab," Journal of Banking & Finance, Elsevier, vol. 133(C).
    12. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    13. Jonathan G James & Phillip Lawler, 2017. "Optimal Transparency and Policy Intervention with Heterogeneous Signals and Information Stickiness," Manchester School, University of Manchester, vol. 85(5), pages 577-600, September.
    14. van der Cruijsen, C.A.B., 2008. "The economic impact of central bank transparency," Other publications TiSEM 86c1ba91-1952-45b4-adac-8, Tilburg University, School of Economics and Management.
    15. Paul Hubert, 2015. "The Influence and Policy Signalling Role of FOMC Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(5), pages 655-680, October.
    16. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    17. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2022. "Bank instability: Interbank linkages and the role of disclosure," Journal of Banking & Finance, Elsevier, vol. 134(C).
    18. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    19. Dutra, Bernardo, 2017. "Expectations about Monetary Policy and the Behaviour of the Central Bank," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(2), November.
    20. George-Marios Angeletos & Luigi Iovino & Jennifer La'O, 2011. "Cycles, Gaps, and the Social Value of Information," NBER Working Papers 17229, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Survey forecasts; Inflation expectations; Inflation targeting; Credibility;
    All these keywords.

    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:eee:jimfin:v:31:y:2012:i:6:p:1371-1391. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30443 .

    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.