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

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  • H. Bakhshi
  • G. Kapetanios
  • T. 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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  • 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.
    • Handle: RePEc:spr:empeco:v:30:y:2005:i:3:p:539-553
    DOI: 10.1007/s00181-005-0262-8
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    1. Batchelor, Roy & Dua, Pami, 1991. "Blue Chip Rationality Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(4), pages 692-705, November.
    2. 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.
    3. Hasan Bakhshi & Anthony Yates, 1998. "Are UK inflation expectations rational?," Bank of England working papers 81, Bank of England.
    4. 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.
    5. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    6. Brown, Lawrence D., 1993. "Earnings forecasting research: its implications for capital markets research," International Journal of Forecasting, Elsevier, vol. 9(3), pages 295-320, November.
    7. Jeff Dominitz, 1998. "Earnings Expectations, Revisions, And Realizations," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 374-388, August.
    8. 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.
    9. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    10. 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.
    11. Frederick Joutz & H. O. Stekler, 1998. "Data revisions and forecasting," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1011-1016.
    12. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    13. Brown, Philip, 1993. "Comments on 'Earnings forecasting research: its implications for capital markets research' by L. Brown," International Journal of Forecasting, Elsevier, vol. 9(3), pages 331-335, November.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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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. 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.
    3. 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.
    4. 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.
    5. Kuethe, Todd H. & Hubbs, Todd & Sanders, Dwight R., 2018. "Evaluating the USDA’s Net Farm Income Forecast," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(3), September.
    6. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    7. 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.
    8. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    9. Capistrán Carlos, 2007. "Optimality Tests for Multi-Horizon Forecasts," Working Papers 2007-14, Banco de México.
    10. Diego Winkelried, 2017. "Inferring Inflation Expectations from Fixed-Event Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 13(2), pages 1-31, June.
    11. Winkelried, Diego, 2023. "Simple interpolations of inflation expectations," Economics Letters, Elsevier, vol. 229(C).
    12. Michael Berlemann & Forrest Nelson, 2005. "Forecasting Inflation via Experimental Stock Markets Some Results from Pilot Markets," ifo Working Paper Series 10, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    13. 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, February.
    14. Berlemann, Michael, 2008. "Forecasting the ECB's main refinancing rate. A field experiment," Economics Letters, Elsevier, vol. 99(2), pages 379-383, May.
    15. 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.

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    More about this item

    Keywords

    Rational expectations; forecast efficiency; C12; G14;
    All these keywords.

    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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