IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v17y2013i1p1-20n4.html
   My bibliography  Save this article

Forecast uncertainty and the Bank of England’s interest rate decisions

Author

Listed:
  • Schultefrankenfeld Guido

    (Deutsche Bundesbank, Central Office, Research Centre, Wilhelm-Epstein-Str. 14, D-60431 Frankfurt am Main, Germany The author would like to thank Christina Gerberding, Heinz Herrmann, Malte Knüppel, Peter Tillmann, Karl-Heinz Tödter and seminar participants at MAGKS PhD Colloquium Marburg, Deutsche Bundesbank, 5th Workshop Makroökonomik and Konjunkturifo Dresdenand 11th IWH-CIREQ Macroeconometric Workshop Halle for their valuable comments. Particular thanks go to ananonymous referee and the editor, Bruce Mizrach, whose suggestions helped to improve this study. The views expressed in this paper are those of the author and do not necessarily reflect the views of the Deutsche Bundesbank or its staff.)

Abstract

To assess the Bank of England’s Monetary Policy Committee decisions on the official bank rate under forecast uncertainty, I estimate simple forecast-based interest rate rules augmented by the exact forecast standard deviations recovered directly from the Inflation Report fan charts. I find that forecast inflation uncertainty strongly intensifies the reaction of the interest rate decisions to a forecast deviation of inflation from target. Conversely, forecast output growth uncertainty attenuates the reaction of the interest rate decisions to a forecast deviation of output growth from its long-run mean. Asymmetries in forecast uncertainty are highly relevant for inflation. Forecast upward risks to inflation contribute strongly to the intensifying effect of forecast inflation uncertainty, while forecast downward risks have hardly any significant impact. Moreover, I find that forecast risks to inflation have a direct effect on the interest rate decisions, in particular when inflation is forecast close to target. Uncertainty forecasts obtained from the Survey of External Forecasters, though, contain no explanatory power.

Suggested Citation

  • Schultefrankenfeld Guido, 2013. "Forecast uncertainty and the Bank of England’s interest rate decisions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 1-20, February.
  • Handle: RePEc:bpj:sndecm:v:17:y:2013:i:1:p:1-20:n:4
    DOI: 10.1515/snde-2012-0045
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/snde-2012-0045
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/snde-2012-0045?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrew Levin & Volker Wieland & John C. Williams, 2003. "The Performance of Forecast-Based Monetary Policy Rules Under Model Uncertainty," American Economic Review, American Economic Association, vol. 93(3), pages 622-645, June.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    3. Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
    4. Thanaset Chevapatrakul & Tae‐Hwan Kim & Paul Mizen, 2009. "The Taylor Principle and Monetary Policy Approaching a Zero Bound on Nominal Rates: Quantile Regression Results for the United States and Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1705-1723, December.
    5. Kenneth N. Kuttner, 2004. "The role of policy rules in inflation targeting," Review, Federal Reserve Bank of St. Louis, vol. 86(Jul), pages 89-112.
    6. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    7. Athanasios Orphanides & Volker W. Wieland, 2008. "Economic projections and rules of thumb for monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 307-324.
    8. Maximiano Pinheiro, 2003. "Uncertainty And Risk Analysis Of Macroeconomic Forecasts: Fan Charts Revisited," Working Papers w200319, Banco de Portugal, Economics and Research Department.
    9. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    10. Batini, Nicoletta & Nelson, Edward, 2001. "Optimal horizons for inflation targeting," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 891-910, June.
    11. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
    12. Nicoletta Batini & Andrew Haldane, 1999. "Forward-Looking Rules for Monetary Policy," NBER Chapters, in: Monetary Policy Rules, pages 157-202, National Bureau of Economic Research, Inc.
    13. repec:bla:scandj:v:104:y:2002:i:1:p:125-45 is not listed on IDEAS
    14. Janko Gorter & Jan Jacobs & Jakob De Haan, 2008. "Taylor Rules for the ECB using Expectations Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(3), pages 473-488, September.
    15. Timothy Besley & Neil Meads & Paolo Surico, 2008. "Insiders versus Outsiders in Monetary Policymaking," American Economic Review, American Economic Association, vol. 98(2), pages 218-223, May.
    16. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    17. Kenneth F. Wallis, 2004. "An Assessment of Bank of England and National Institute Inflation Forecast Uncertainties," National Institute Economic Review, National Institute of Economic and Social Research, vol. 189(1), pages 64-71, July.
    18. Marc Giannoni & Michael Woodford, 2003. "How forward-looking is optimal monetary policy?," Proceedings, Federal Reserve Bank of Cleveland, pages 1425-1483.
    19. Wolters, Maik H., 2012. "Estimating monetary policy reaction functions using quantile regressions," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 342-361.
    20. 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.
    21. Richard H. Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary policy rules in practice," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    22. Arnab Bhattacharjee & Sean Holly, 2010. "Rational Partisan Theory, Uncertainty, And Spatial Voting: Evidence For The Bank Of England'S Mpc," Economics and Politics, Wiley Blackwell, vol. 22(2), pages 151-179, July.
    23. Malte Knüppel & Guido Schultefrankenfeld, 2012. "How Informative Are Central Bank Assessments of Macroeconomic Risks?," International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 87-139, September.
    24. Knüppel, Malte & Schultefrankenfeld, Guido, 2008. "How informative are macroeconomic risk forecasts? An examination of the Bank of England's inflation forecasts," Discussion Paper Series 1: Economic Studies 2008,14, Deutsche Bundesbank.
    25. Petra Gerlach‐Kristen, 2004. "Is the MPC's Voting Record Informative about Future UK Monetary Policy?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 299-313, June.
    26. Knüppel, Malte & Schultefrankenfeld, Guido, 2011. "Evaluating macroeconomic risk forecasts," Discussion Paper Series 1: Economic Studies 2011,14, Deutsche Bundesbank.
    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. Belderbos, Rene & Ikeuchi, Kenta & Fukao, Kyoji & Kim, Young Gak & Kwon, Hyeog Ug, 2013. "Plant Productivity Dynamics and Private and Public R&D Spillovers: Technological, Geographic and Relational Proximity," CEI Working Paper Series 2013-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    2. Greene, William H. & Gillman, Max & Harris, Mark N. & Spencer, Christopher, 2013. "The Tempered Ordered Probit (TOP) Model with an Application to Monetary Policy," CEI Working Paper Series 2013-04, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    3. Zhu, Sheng & Kavanagh, Ella & O’Sullivan, Niall, 2021. "Inflation targeting and financial conditions: UK monetary policy during the great moderation and financial crisis," Journal of Financial Stability, Elsevier, vol. 53(C).

    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. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    2. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    3. ALISTAIR DIEPPE & KEITH KÜSTER & PETER McADAM, 2005. "Optimal Monetary Policy Rules for the Euro Area: An Analysis Using the Area Wide Model," Journal of Common Market Studies, Wiley Blackwell, vol. 43(3), pages 507-537, September.
    4. Gabriel, Vasco J. & Levine, Paul & Spencer, Christopher, 2009. "How forward-looking is the Fed? Direct estimates from a 'Calvo-type' rule," Economics Letters, Elsevier, vol. 104(2), pages 92-95, August.
    5. 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].
    6. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    7. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    8. Batini, Nicoletta & Harrison, Richard & Millard, Stephen P., 2003. "Monetary policy rules for an open economy," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2059-2094, September.
    9. Clémentine Florens & Eric Jondeau & Hervé Le Bihan, 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Econometrics 0111003, University Library of Munich, Germany.
    10. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2018. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(15), pages 3552-3565, December.
    11. Rannenberg, Ansgar, 2009. "The Taylor Principle and (In-) Determinacy in a New Keynesian Model with hiring Frictions and Skill Loss," SIRE Discussion Papers 2009-48, Scottish Institute for Research in Economics (SIRE).
    12. Baxa, Jaromír & Horváth, Roman & Vašíček, Bořek, 2013. "Time-varying monetary-policy rules and financial stress: Does financial instability matter for monetary policy?," Journal of Financial Stability, Elsevier, vol. 9(1), pages 117-138.
    13. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    14. Andreas Beyer & Vitor Gaspar & Christina Gerberding & Otmar Issing, 2013. "Opting Out of the Great Inflation: German Monetary Policy after the Breakdown of Bretton Woods," NBER Chapters, in: The Great Inflation: The Rebirth of Modern Central Banking, pages 301-346, National Bureau of Economic Research, Inc.
    15. Nicholas Apergis & James E. Payne, 2018. "Monetary policy rules and the equity risk premium: Evidence from the US experience," Review of Financial Economics, John Wiley & Sons, vol. 36(4), pages 287-299, October.
    16. Huang, Kevin X.D. & Meng, Qinglai & Xue, Jianpo, 2009. "Is forward-looking inflation targeting destabilizing? The role of policy's response to current output under endogenous investment," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 409-430, February.
    17. Dirk Bleich & Ralf Fendel & Jan-Christoph Rülke, 2012. "Monetary policy and oil price expectations," Applied Economics Letters, Taylor & Francis Journals, vol. 19(10), pages 969-973, July.
    18. Imen Mohamed Sghaier & Zouheir Abida, 2013. "Monetary Policy Rules for a Developing Countries: Evidence from Tunisia," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(1), pages 035-046, June.
    19. Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
    20. Carmine Trecroci & Matilde Vassalli, 2010. "Monetary Policy Regime Shifts: New Evidence From Time‐Varying Interest Rate Rules," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 933-950, October.

    More about this item

    Keywords

    Bank of England; forecast-based interest rate rules; forecast risk; forecast uncertainty; monetary policy committee; JEL-Codes: C53; E43; E58;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

    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:bpj:sndecm:v:17:y:2013:i:1:p:1-20:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.