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Testing the efficiency of inflation and exchange rate forecast revisions in a changing economic environment

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  • Iregui, Ana María
  • Núñez, Héctor M.
  • Otero, Jesús

Abstract

We use the Banco de la República expectations survey of external economic analysts to study whether fixed-event individual forecasts of inflation and exchange rate are updated efficiently when new information becomes available. To this end, we test for weak-form and strong-form efficiency. The novel aspects of this paper are that we relax the individual homogeneity assumption, and consider a forecasters’ information set that contains a large number of empirically relevant variables. We address model selection using two of the most popular methods available in the penalised regression literature, and a new form of multiple testing. Our results show that more than half of the analysts’ revisions are independent of one another (weakly efficient). Also, conditional on passing weak efficiency, we find that analysts use past values of inflation and exchange rate changes to revise their forecasts and a broader array of variables during periods of market instability.

Suggested Citation

  • Iregui, Ana María & Núñez, Héctor M. & Otero, Jesús, 2021. "Testing the efficiency of inflation and exchange rate forecast revisions in a changing economic environment," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 290-314.
    • Handle: RePEc:eee:jeborg:v:187:y:2021:i:c:p:290-314
    DOI: 10.1016/j.jebo.2021.04.037
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    1. Juan Jose Echavarria & Mauricio Villamizar-Villegas, 2016. "Great expectations? evidence from Colombia’s exchange rate survey," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-27, December.
    2. Beckmann, Joscha & Czudaj, Robert, 2017. "The impact of uncertainty on professional exchange rate forecasts," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 296-316.
    3. Vargas-Herrera, Hernando & Villamizar-Villegas, Mauricio, 2024. "Effectiveness of FX intervention and the flimsiness of exchange rate expectations," Journal of Financial Stability, Elsevier, vol. 74(C).
    4. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    5. Chang, Chia-Lin & de Bruijn, Bert & Franses, Philip Hans & McAleer, Michael, 2013. "Analyzing fixed-event forecast revisions," International Journal of Forecasting, Elsevier, vol. 29(4), pages 622-627.
    6. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
    7. Kenneth Rogoff, 1996. "The Purchasing Power Parity Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 647-668, June.
    8. A. Chudik & G. Kapetanios & M. Hashem Pesaran, 2018. "A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High‐Dimensional Linear Regression Models," Econometrica, Econometric Society, vol. 86(4), pages 1479-1512, July.
    9. Richard Meese & Kenneth Rogoff, 1983. "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 67-112, National Bureau of Economic Research, Inc.
    10. Juan Camilo Galvis Ciro & Helder Ferreira de Mendonça, 2017. "Effect of credibility and reputation on discretionary fiscal policy: empirical evidence from Colombia," Empirical Economics, Springer, vol. 53(4), pages 1529-1552, December.
    11. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    12. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    13. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    14. Rapach, David E. & Wohar, Mark E., 2002. "Testing the monetary model of exchange rate determination: new evidence from a century of data," Journal of International Economics, Elsevier, vol. 58(2), pages 359-385, December.
    15. Gultekin Isiklar & Kajal Lahiri & Prakash Loungani, 2006. "How quickly do forecasters incorporate news? Evidence from cross‐country surveys," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 703-725, September.
    16. Daniel Parra-Amado & Davinson Stev Abril-Salcedo & Luis Fernando Melo-Velandia, 2016. "Impactos de los fenómenos climáticos sobre el precio de los alimentos en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 34(80), pages 146-158, June.
    17. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    18. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    19. Frankel, Jeffrey A, 1982. "The Mystery of the Multiplying Marks: A Modification of the Monetary Model," The Review of Economics and Statistics, MIT Press, vol. 64(3), pages 515-519, August.
    20. González-Molano, Eliana Rocío & Jalil-Barney, Munir Andrés & Romero-Chamorro, José Vicente, 2011. "Inflación y expectativas de inflación en Colombia," Chapters, in: López Enciso, Enrique & Ramírez Giraldo, María Teresa (ed.), Formación de precios y salarios en Colombia T.2, volume 2, chapter 13, pages 491-519, Banco de la Republica de Colombia.
    21. Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
    22. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    23. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
    24. David I. Harvey & Stephen J. Leybourne & Paul Newbold, 2001. "Analysis of a panel of UK macroeconomic forecasts," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 37-55.
    25. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    26. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    27. Hernando Vargas-Herrera, 2016. "Inflation expectations and a model-based core inflation measure in Colombia," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 123-151, Bank for International Settlements.
    28. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    29. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    30. Groen, Jan J. J., 2000. "The monetary exchange rate model as a long-run phenomenon," Journal of International Economics, Elsevier, vol. 52(2), pages 299-319, December.
    31. Bank for International Settlements, 2016. "Inflation mechanisms, expectations and monetary policy," BIS Papers, Bank for International Settlements, number 89.
    32. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
    33. H. Bakhshi & G. Kapetanios & T. Yates, 2005. "Rational expectations and fixed-event forecasts: An application to UK inflation," Empirical Economics, Springer, vol. 30(3), pages 539-553, October.
    34. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    35. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations and economic policy uncertainty," European Journal of Political Economy, Elsevier, vol. 47(C), pages 148-162.
    36. Montiel,Peter J., 2011. "Macroeconomics in Emerging Markets," Cambridge Books, Cambridge University Press, number 9780521733045, September.
    37. Park, Trevor & Casella, George, 2008. "The Bayesian Lasso," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 681-686, June.
    38. Ricardo Sousa & James Yetman, 2016. "Inflation expectations and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 41-67, Bank for International Settlements.
    39. A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
    40. Jurgen A. Doornik & David F. Hendry & Steve Cook, 2015. "Statistical model selection with “Big Data”," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1045216-104, December.
    41. John Williamson, 1996. "Crawling Band as an Exchange Rate Regime: Lessons from Chile, Colombia and Israel, The," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 14, April.
    42. Ashiya, Masahiro, 2003. "Testing the rationality of Japanese GDP forecasts: the sign of forecast revision matters," Journal of Economic Behavior & Organization, Elsevier, vol. 50(2), pages 263-269, February.
    43. repec:bla:jfinan:v:43:y:1988:i:4:p:933-48 is not listed on IDEAS
    44. Reitz, Stefan & Stadtmann, Georg & Taylor, Mark P., 2010. "The effects of Japanese interventions on FX-forecast heterogeneity," Economics Letters, Elsevier, vol. 108(1), pages 62-64, July.
    45. Beckmann, Joscha & Reitz, Stefan, 2020. "Information rigidities and exchange rate expectations," Journal of International Money and Finance, Elsevier, vol. 105(C).
    46. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    47. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    48. Juan Camilo Galvis Ciro & Juan Camilo Anzoátegui Zapata, 2019. "Disagreement in inflation expectations: empirical evidence for Colombia," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4411-4424, August.
    49. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    50. Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
    51. Levich, Richard M., 1985. "Empirical studies of exchange rates: Price behavior, rate determination and market efficiency," Handbook of International Economics, in: R. W. Jones & P. B. Kenen (ed.), Handbook of International Economics, edition 1, volume 2, chapter 19, pages 979-1040, Elsevier.
    52. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    53. Chinn, Menzie D., 2006. "The (partial) rehabilitation of interest rate parity in the floating rate era: Longer horizons, alternative expectations, and emerging markets," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 7-21, February.
    54. Meese, R. & Rogoff, K., 1988. "Was It Real? The Exchange Rate-Interest Differential Ralation Over The Modern Floating-Rate Period," Working papers 368, Wisconsin Madison - Social Systems.
    55. International Monetary Fund, 2006. "Colombia: Report on the Observance of Standards and Codes—Data Module," IMF Staff Country Reports 2006/356, International Monetary Fund.
    56. Masahiro Ashiya, 2006. "Testing the rationality of forecast revisions made by the IMF and the OECD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 25-36.
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    More about this item

    Keywords

    Fixed-event forecasts; Weak-form efficiency; Strong-form efficiency; Expectations;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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