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What’s in a headline? News impact on the Brazilian economy

Author

Listed:
  • Gustavo Romero Cardoso
  • Marcio Issao Nakane

Abstract

The purpose of this paper is to explore the impact of textual data on the Brazilian economic cycle. Utilizing a dataset of articles from †Valor Econômico†newspaper spanning from July 2011 to December 2022, we employ the topic model Latent Dirichlet Allocation (LDA) to transform this textual data into a series of monthly topic proportions. From this output, we have developed two news indices, each with distinct methodologies but sharing the objective of assessing the influence of news topics on asset prices. We incorporate these indices into a structural VAR model to differentiate between news and noise shocks and to analyze their effects on macroeconomic variables. Our results reveal that news shocks, as captured by the news indices, significantly impact both asset prices and a range of macroeconomic indicators. Both news and noise shocks are found to be crucial in explaining a considerable proportion of the variance in asset prices over short and longterm periods, underscoring the pivotal role of news information in market dynamics.

Suggested Citation

  • Gustavo Romero Cardoso & Marcio Issao Nakane, 2024. "What’s in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics 2024_12, University of São Paulo (FEA-USP).
    • Handle: RePEc:spa:wpaper:2024wpecon12
    as

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    File URL: http://www.repec.eae.fea.usp.br/documentos/Cardoso_Nakane_12WP.pdf
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    References listed on IDEAS

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    1. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    2. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    3. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
    4. David Kohn & Fernando Leibovici & Håkon Tretvoll, 2021. "Trade in Commodities and Business Cycle Volatility," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 173-208, July.
    5. Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 69-102.
    8. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    9. Apel Mikael & Grimaldi Marianna Blix, 2014. "How Informative Are Central Bank Minutes?," Review of Economics, De Gruyter, vol. 65(1), pages 53-76, April.
    10. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    11. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    12. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
    13. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "News media versus FRED‐MD for macroeconomic forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 63-81, January.
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    More about this item

    Keywords

    News; textual data; Latent Dirichlet Allocation; Brazilian business cycles;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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