IDEAS home Printed from https://ideas.repec.org/a/fip/fedreq/00068.html
   My bibliography  Save this article

Sentiment Analysis of the Fifth District Manufacturing and Service Surveys

Author

Listed:
  • Santiago Pinto

Abstract

This article uses basic text analytic techniques to examine the sentiment embodied in two surveys conducted by the Richmond Fed: the Manufacturing and Service Sector Surveys. Specifically, the article develops several sentiment indicators based on the comments provided by survey participants, contrasts the sentiment measures against responses to other survey questions, and analyzes the monthly evolution of the sentiment indicators during the period 2002-18. Two main conclusions emerge from the analysis. First, the indicators reflect reasonably well changes in economic sentiment along time. Second, negative sentiment has been increasing since approximately August 2017. However, during this same period, the composite DI reported by the Richmond Fed (an indicator that intends to capture the strength of economic conditions in the Fifth District) has been increasing as well.

Suggested Citation

  • Santiago Pinto, 2019. "Sentiment Analysis of the Fifth District Manufacturing and Service Surveys," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 133-170.
    • Handle: RePEc:fip:fedreq:00068
    as

    Download full text from publisher

    File URL: https://www.richmondfed.org/-/media/richmondfedorg/publications/research/economic_quarterly/2019/q3/pinto.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David A. Price & Aileen Watson, 2014. "The Richmond Fed Manufacturing and Service Sector Surveys: A User's Guide," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue Mar.
    2. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    3. 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)

    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. Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
    2. Shapiro, Adam Hale & Sudhof, Moritz & Wilson, Daniel J., 2022. "Measuring news sentiment," Journal of Econometrics, Elsevier, vol. 228(2), pages 221-243.
    3. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    4. 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.
    5. Aaryan Gupta & Vinya Dengre & Hamza Abubakar Kheruwala & Manan Shah, 2020. "Comprehensive review of text-mining applications in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    6. Yan Luo & Linying Zhou, 2020. "Textual tone in corporate financial disclosures: a survey of the literature," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 101-110, September.
    7. Jiao Ji & Oleksandr Talavera & Shuxing Yin, 2018. "The Hidden Information Content: Evidence from the Tone of Independent Director Reports," Working Papers 2018-28, Swansea University, School of Management.
    8. Bennani, Hamza & Romelli, Davide, 2024. "Exploring the informativeness and drivers of tone during committee meetings: The case of the Federal Reserve," Journal of International Money and Finance, Elsevier, vol. 148(C).
    9. Qian Wang & Duowen Wu & Lina Yan, 2021. "Effect of positive tone in MD&A disclosure on capital structure adjustment speed: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5809-5845, December.
    10. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
    11. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    12. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    13. Wang, Fang & Hou, Jingru, 2024. "Financial-industrial integration and corporate financialization: Evidence from China," Finance Research Letters, Elsevier, vol. 69(PA).
    14. Sof'a Gallardo & Carlos Madeira, 2022. "The role of financial surveys for economic research and policy making in emerging markets," Chapters, in: Duc K. Nguyen (ed.), Handbook of Banking and Finance in Emerging Markets, chapter 36, pages 676-686, Edward Elgar Publishing.
    15. Mathieu Pedemonte & Hiroshi Toma & Esteban Verdugo, 2023. "Aggregate Implications of Heterogeneous Inflation Expectations: The Role of Individual Experience," Working Papers 23-04, Federal Reserve Bank of Cleveland.
    16. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    17. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 56-65.
    18. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2023. "Ethical bank disclosures and liquidity creation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    19. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    20. Baron, Justus & Ganglmair, Bernhard & Persico, Nicola & Simcoe, Timothy & Tarantino, Emanuele, 2024. "Representation is not sufficient for selecting gender diversity," Research Policy, Elsevier, vol. 53(6).

    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:fip:fedreq:00068. 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: Christian Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.html .

    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.