IDEAS home Printed from https://ideas.repec.org/a/fip/fedfel/87710.html
   My bibliography  Save this article

News Sentiment in the Time of COVID-19

Author

Listed:

Abstract

The COVID-19 pandemic is causing severe disruptions to daily life and economic activity. Reliable assessments of the economic fallout in this rapidly evolving situation require timely data. Existing sentiment indexes are useful indicators of current and future spending but are only available with a lag or have a short history. A new Daily News Sentiment Index provides a way to measure sentiment in real time from 1980 to today. Compared with survey-based measures of consumer sentiment, this index shows an earlier and more pronounced drop in sentiment in recent weeks.

Suggested Citation

  • Shelby R. Buckman & Adam Hale Shapiro & Moritz Sudhof & Daniel J. Wilson, 2020. "News Sentiment in the Time of COVID-19," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2020(08), pages 1-05, April.
    • Handle: RePEc:fip:fedfel:87710
    as

    Download full text from publisher

    File URL: https://www.frbsf.org/economic-research/files/el2020-08.pdf
    File Function: Full text - article PDF
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
    2. Balcaen, Pieter & Buts, Caroline & Bois, Cind Du & Tkacheva, Olesya, 2023. "The effect of disinformation about COVID-19 on consumer confidence: Insights from a survey experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 102(C).
    3. Ismail Adelopo & Ibrahim Rufai & Moshood Bello, 2023. "Financial Accountability and Religious Sentiments: The Case of Sukuk Bond," Journal of Business Ethics, Springer, vol. 182(2), pages 397-420, January.
    4. Li, Yubin & Zhao, Chen & Zhong, Zhaodong (Ken), 2021. "Trading behavior of retail investors in derivatives markets: Evidence from Mini options," Journal of Banking & Finance, Elsevier, vol. 133(C).
    5. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.
    7. Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    8. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    9. Marlene Amstad & Giulio Cornelli & Leonardo Gambacorta & Dora Xia, 2020. "Investors' risk attitudes in the pandemic and the stock market: new evidence based on internet searches," BIS Bulletins 25, Bank for International Settlements.
    10. Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
    11. Mensi, Walid & Gubareva, Mariya & Teplova, Tamara & Kang, Sang Hoon, 2023. "Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    12. David Bourghelle & Fredj Jawadi & Philippe Rozin, 2021. "Oil price volatility in the context of Covid-19 [Le prix du pétrole dans le contexte du Covid 19]," Post-Print hal-04412020, HAL.
    13. Khalfaoui, Rabeh & Stef, Nicolae & Wissal, Ben Arfi & Sami, Ben Jabeur, 2022. "Dynamic spillover effects and connectedness among climate change, technological innovation, and uncertainty: Evidence from a quantile VAR network and wavelet coherence," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    14. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    15. María del Pilar Cruz N. & Hugo Peralta V. & Juan Pablo Cova M., 2022. "Utilización de noticias de prensa como indicador de confianza económica en tiempo real," Working Papers Central Bank of Chile 938, Central Bank of Chile.
    16. van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
    17. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    18. Bekaert, Geert & Hoerova, Marie & Xu, Nancy R., 2023. "Risk, monetary policy and asset prices in a global world," Working Paper Series 2879, European Central Bank.
    19. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    20. Bourghelle, David & Jawadi, Fredj & Rozin, Philippe, 2021. "Oil price volatility in the context of Covid-19," International Economics, Elsevier, vol. 167(C), pages 39-49.
    21. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    22. Thakerngkiat, Narongdech & Nguyen, Hung T. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2023. "Does fear spur default risk?," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 879-899.
    23. Caferra, Rocco, 2022. "Sentiment spillover and price dynamics: Information flow in the cryptocurrency and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    24. Montone, Maurizio, 2022. "Does the U.S. president affect the stock market?," Journal of Financial Markets, Elsevier, vol. 61(C).
    25. Massimo Baldini & Andrea Barigazzi, 2023. "Surnames in local newspapers and social mobility," Center for the Analysis of Public Policies (CAPP) 0181, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".

    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:fedfel:87710. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.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.