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A Textual Analysis of the Bank of England Growth Forecasts

Author

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  • Jacob T. Jones

    (The George Washington University)

  • Tara M. Sinclair

    (The George Washington University)

  • Herman O. Stekler

    (The George Washington University)

Abstract

The Bank of England publishes a quarterly Inflation Report (IR) that provides numerical forecasts and text discussion of their assessment of the UK economy. Previous research has evaluated the quantitative forecasts included in the IR, but we focus on the qualitative discussion of output growth. We use a textual analysis procedure to convert the qualitative assessments made by the Bank into quantitative scores. We compare these scores to real-time output growth data as well as to the corresponding quantitative projections published by the Bank. We find that overall developments in the UK economy were accurately represented in the text of the IR. Although the Bank failed to forecast the onset of the Great Recession ahead of time, they did perceive underlying weakness in the economy prior to the downturn, which was more clearly communicated in the text than in the quantitative forecasts.

Suggested Citation

  • Jacob T. Jones & Tara M. Sinclair & Herman O. Stekler, 2018. "A Textual Analysis of the Bank of England Growth Forecasts," Working Papers 2018-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised May 2019.
  • Handle: RePEc:gwc:wpaper:2018-005
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    References listed on IDEAS

    as
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    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    4. Clements, Michael P. & Reade, J. James, 2020. "Forecasting and forecast narratives: The Bank of England Inflation Reports," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1488-1500.
    5. Nélida Díaz Sobrino & Corinna Ghirelli & Samuel Hurtado & Javier J. Pérez & Alberto Urtasun, 2020. "The narrative about the economy as a shadow forecast: an analysis using Banco de España quarterly reports," Working Papers 2042, Banco de España.
    6. Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2020. "The Power of Narratives in Economic Forecasts," Finance and Economics Discussion Series 2020-001, Board of Governors of the Federal Reserve System (U.S.).
    7. Rambaccussing, Dooruj & Kwiatkowski, Andrzej, 2020. "Forecasting with news sentiment: Evidence with UK newspapers," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1501-1516.
    8. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

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    More about this item

    Keywords

    Macroeconomic Forecast Evaluation; Qualitative Forecasting; Great Recession;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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