Sentiment and emotion in financial journalism: a corpus-based, cross-linguistic analysis of the effects of COVID
Author
Abstract
Suggested Citation
DOI: 10.1057/s41599-023-01725-8
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Ms. Wenjie Chen & Mr. Mico Mrkaic & Mr. Malhar S Nabar, 2019. "The Global Economic Recovery 10 Years After the 2008 Financial Crisis," IMF Working Papers 2019/083, International Monetary Fund.
- Giovanni Barone-Adesi & Matteo Pisati & Carlo Sala, 2018. "Greed and Fear: The Nature of Sentiment," Swiss Finance Institute Research Paper Series 18-45, Swiss Finance Institute.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Benyan Tan & Yingzhu Guo & Yan Wu, 2024. "The influence and mechanism of female-headed households on household debt risk: empirical evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
- Qing Liu & Hosung Son, 2024. "Methods for aggregating investor sentiment from social media," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
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.- Mingjin Luo & Shenqguan Wang, 2023. "Financialization and sluggish recovery of firms' investment: Global evidence from the 2007–2008 financial crisis," International Finance, Wiley Blackwell, vol. 26(3), pages 344-363, December.
- Helder Ferreira de Mendonça & Vítor Ribeiro Laufer Calafate, 2021. "Lack of fiscal transparency and economic growth expectations: an empirical assessment from a large emerging economy," Empirical Economics, Springer, vol. 61(6), pages 2985-3027, December.
- Helder Ferreira de Mendonça & Ytallo Brito, 2021. "The link between public debt and investment: an empirical assessment from emerging markets," Applied Economics, Taylor & Francis Journals, vol. 53(50), pages 5864-5876, October.
- Norrana Khidil & Mohd Azlan Shah Zaidi & Zulkefly Abdul Karim, 2021. "Fragmentation of International Production and Business Cycle Synchronization: New Evidence pre and during Global Financial Crises," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
- Deimante Teresiene & Greta Keliuotyte-Staniuleniene & Yiyi Liao & Rasa Kanapickiene & Ruihui Pu & Siyan Hu & Xiao-Guang Yue, 2021. "The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators," JRFM, MDPI, vol. 14(4), pages 1-23, April.
- Jim Yongtao Jin & Geethanjali Selvaretnam, 2020. "Preference to work and its effects on economic growth and happiness," Working Papers 2020_30, Business School - Economics, University of Glasgow.
- Sher VERICK & Dorothea SCHMIDT‐KLAU & Sangheon LEE, 2022. "Is this time really different? How the impact of the COVID‐19 crisis on labour markets contrasts with that of the global financial crisis of 2008–09," International Labour Review, International Labour Organization, vol. 161(1), pages 125-148, March.
- Philip Barrett & Sonali Das & Giacomo Magistretti & Evgenia Pugacheva & Philippe Wingender, 2023. "Long COVID? Prospects for economic scarring from the pandemic," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 227-242, April.
- Alessandro Gennaro & Michelle Nietlispach, 2021. "Corporate Governance and Risk Management: Lessons (Not) Learnt from the Financial Crisis," JRFM, MDPI, vol. 14(9), pages 1-19, September.
- Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Coronavirus, Vaccination and the Reaction of Consumer Sentiment in The United States: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(8), pages 1-8, April.
- Gonzalo Castañeda & Luis Castro Peñarrieta, 2022. "A Customized Machine Learning Algorithm for Discovering the Shapes of Recovery: Was the Global Financial Crisis Different?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 69-99, March.
- Mora-Valencia, Andrés & Rodríguez-Raga, Santiago & Vanegas, Esteban, 2021. "Skew index: Descriptive analysis, predictive power, and short-term forecast," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
- Eichengreen, Barry & Park, Donghyun & Shin, Kwanho, 2024. "Economic resilience: Why some countries recover more robustly than others from shocks," Economic Modelling, Elsevier, vol. 136(C).
- Mihail Yanchev, 2022. "Deep Growth-at-Risk Model: Nowcasting the 2020 Pandemic Lockdown Recession in Small Open Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 20-41.
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:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01725-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.