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The narrative about the economy as a shadow forecast: an analysis using Banco de España quarterly reports

Author

Listed:
  • Nélida Díaz Sobrino

    (Universidad Nebrija)

  • Corinna Ghirelli

    (Banco de España)

  • Samuel Hurtado

    (Banco de España)

  • Javier J. Pérez

    (Banco de España)

  • Alberto Urtasun

    (Banco de España)

Abstract

The aim of this paper is to construct a text-based indicator that reflects the sentiment of the Banco de España economic outlook reports. Our sentiment indicator mimics very closely the first release of the GDP growth rate, which is published after the publication of the reports, and the Banco de España quarterly forecasts of the GDP growth rate. This means that the qualitative narrative contained in the reports contains similar information to the one conveyed by the quantitative forecasts. In addition, the narrative complements the quantitative projections by discussing information which is not directly reflected in the point forecasts.

Suggested Citation

  • 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.
    • Handle: RePEc:bde:wpaper:2042
    as

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    References listed on IDEAS

    as
    1. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    2. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    3. Emma Catalfamo, 2018. "French Nowcasts of the US Economy during the Great Recession: A Textual Analysis," Working Papers 2018-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    5. Ericsson, Neil R., 2016. "Eliciting GDP forecasts from the FOMC’s minutes around the financial crisis," International Journal of Forecasting, Elsevier, vol. 32(2), pages 571-583.
    6. Christina D. Romer & David H. Romer, 2008. "The FOMC versus the Staff: Where Can Monetary Policymakers Add Value?," American Economic Review, American Economic Association, vol. 98(2), pages 230-235, May.
    7. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    textual analysis; sentiment analysis; GDP growth rate; forecasting; central bank reports;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • 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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