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Rational expectations and fixed-event forecasts: an application to UK inflation

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Listed author(s):
  • Hasan Bakhshi
  • George Kapetanios
  • Anthony Yates

Abstract

In this paper a version of the rational expectations hypothesis is tested using fixed-event inflation forecasts for the UK. Fixed-event forecasts consist of a panel of forecasts for a set of outturns of a series at varying horizons prior to each outturn. The forecasts are the prediction of fund managers surveyed by Merrill Lynch. Fixed-event forecasts allow tests for whether expectations are unbiased in a similar fashion to the rest of the literature. But they also permit particular tests of forecast efficiency to be conducted - whether the forecasts make best use of available information - that are not possible with rolling event data. The results show evidence of a positive bias in inflation expectations. Evidence for inefficiency is much less clear cut.

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Paper provided by Bank of England in its series Bank of England working papers with number 176.

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Date of creation: Feb 2003
Handle: RePEc:boe:boeewp:176
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Find related papers by JEL classification:
  • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
  • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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  1. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  2. Jeff Dominitz, 1998. "Earnings Expectations, Revisions, And Realizations," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 374-388, August.
  3. Batchelor, Roy & Dua, Pami, 1991. "Blue Chip Rationality Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(4), pages 692-705, November.
  4. Frederick Joutz & H. O. Stekler, 1998. "Data revisions and forecasting," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1011-1016.
  5. 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.
  6. Hasan Bakhshi & Anthony Yates, 1998. "Are UK inflation expectations rational?," Bank of England working papers 81, Bank of England.
  7. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
  8. Neftci, Salih N. & Theodossiou, Panayiotis, 1991. "Properties and Stochastic nature of BEA's early estimates of GNP," Journal of Economics and Business, Elsevier, vol. 43(3), pages 231-239, August.
  9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  10. Mork, Knut Anton, 1987. "Ain't Behavin': Forecast Errors and Measurement Errors in Early GNP Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 165-175, April.
  11. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
  12. Abel, Andrew B. & Mishkin, Frederic S., 1983. "An integrated view of tests of rationality, market efficiency and the short-run neutrality of monetary policy," Journal of Monetary Economics, Elsevier, vol. 11(1), pages 3-24.
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Cited by:

  1. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
  2. Péter Gábriel & Klára Pintér, 2006. "Whom should we believe? Information content of the yield curve and analysts’ expectations," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 1(2), pages 6-13, December.
  3. Carlos Capistrán, 2007. "Optimality Tests for Multi-Horizon Forecasts," Working Papers 2007-14, Banco de México.
  4. Berlemann, Michael, 2008. "Forecasting the ECB's main refinancing rate. A field experiment," Economics Letters, Elsevier, vol. 99(2), pages 379-383, May.
  5. Gaglianone, Wagner Piazza & Pereira, Ana Luiza Louzada, 2005. "Um ensaio sobre expectativas da taxa de câmbio no Brasil
    [An essay on the foreign exchange rate expectations in Brazil]    ," MPRA Paper 20840, University Library of Munich, Germany.
  6. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
  7. Michael Berlemann & Forrest Nelson, 2005. "Forecasting Inflation via Experimental Stock Markets Some Results from Pilot Markets," Ifo Working Paper Series Ifo Working Papers No. 10, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  8. Hakan Kara & Hande Kucuk Tuger, 2005. "Some Evidence on the Irrationality of Inflation Expectations in Turkey," Working Papers 0512, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  9. Carlos Capistrán & Gabriel López-Moctezuma, 2010. "Forecast Revisions of Mexican Inflation and GDP Growth," Working Papers 2010-11, Banco de México.
  10. Wolfgang Nierhaus, 2008. "Wirtschaftskonjunktur 2007: Prognose und Wirklichkeit," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(03), pages 21-26, 02.
  11. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.

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