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News media and investor sentiment during bull and bear markets

Author

Listed:
  • Alan J. Hanna
  • John D. Turner
  • Clive B. Walker

Abstract

The news media have been described by Shiller ([2000]. Irrational Exuberance. Princeton, NJ: Princeton University Press.) as fundamental propagators of speculative price movements. We test whether investors react differently to sentiment in bull and bear markets using the tone of reporting in the Financial Times as a proxy for sentiment. Our sentiment proxy is a daily measure covering the period from 1899 to 2010. We find that the tone of the Financial Times influences trading volume during bull markets. These findings are consistent with noise traders driving trade during speculative booms and Shiller’s press-as-propagators hypothesis.

Suggested Citation

  • Alan J. Hanna & John D. Turner & Clive B. Walker, 2020. "News media and investor sentiment during bull and bear markets," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1377-1395, September.
    • Handle: RePEc:taf:eurjfi:v:26:y:2020:i:14:p:1377-1395
    DOI: 10.1080/1351847X.2020.1743734
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    Cited by:

    1. Jason Lennard & Finn Meinecke & Solomos Solomou, 2023. "Measuring inflation expectations in interwar Britain," Economic History Review, Economic History Society, vol. 76(3), pages 844-870, August.
    2. Ali Kabiri & Harold James & John Landon-Lane & David Tuckett & Rickard Nyman, 2020. "The Role of Sentiment in the Economy: 1920 to 1934," CESifo Working Paper Series 8336, CESifo.
    3. Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    4. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Daniel Perico Ortiz, 2023. "Economic policy statements, social media, and stock market uncertainty: An analysis of Donald Trump’s tweets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 333-367, June.
    6. Ali Kabiri & Harold James & John Landon‐Lane & David Tuckett & Rickard Nyman, 2023. "The role of sentiment in the US economy: 1920 to 1934," Economic History Review, Economic History Society, vol. 76(1), pages 3-30, February.
    7. Javid Iqbal & Khalid Riaz, 2022. "Predicting future financial performance of banks from management’s tone in the textual disclosures," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2691-2721, August.
    8. Vanita Tripathi & Amanpreet Kaur, 2022. "Does Socially Responsible Investing Pay in Developing Countries? A Comparative Study Across Select Developed and Developing Markets," FIIB Business Review, , vol. 11(2), pages 189-205, June.
    9. Wehrheim, Lino, 2021. "The sound of silence: On the (in)visibility of economists in the media," Working Papers 30, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    10. Hanna, Alan J. & Turner, John D. & Walker, Clive B., 2022. "The spectre of terrorism and the stock market," QUCEH Working Paper Series 22-10, Queen's University Belfast, Queen's University Centre for Economic History.
    11. Zhang, Xuetong & Zhang, Weiguo, 2023. "Information asymmetry, sentiment interactions, and asset price," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    12. Yongan Xu & Jianqiong Wang & Zhonglu Chen & Chao Liang, 2023. "Sentiment indices and stock returns: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1063-1080, January.
    13. Perico Ortiz, Daniel, 2021. "The high frequency impact of economic policy narratives on stock market uncertainty," FAU Discussion Papers in Economics 02/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    14. Fatima Iqbal & Dr. Sadia Farooq & Dr. Sajid Nazir, 2023. "Herd behavior in stock markets during COVID’ 19 Pandemic: A machine learning approach," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 268-273.

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