IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v27y2020i18p1485-1488.html
   My bibliography  Save this article

Political news and stock prices: evidence from Trump’s trade war

Author

Listed:
  • Tobias Burggraf
  • Ralf Fendel
  • Toan Luu Duc Huynh

Abstract

This study investigates the impact of political news on stock price movements. Analysing more than 3,200 tweets from US President Donald Trump’s Twitter account, we find that tweets related to the US-China trade war negatively predict S&P 500 returns and positively predict VIX. Granger causality estimates indicate that the causal relationship is one-directional – from Trump tweets to returns and VIX. Finally, the results vary across industries depending on their degree of trade intensity with China.

Suggested Citation

  • Tobias Burggraf & Ralf Fendel & Toan Luu Duc Huynh, 2020. "Political news and stock prices: evidence from Trump’s trade war," Applied Economics Letters, Taylor & Francis Journals, vol. 27(18), pages 1485-1488, October.
  • Handle: RePEc:taf:apeclt:v:27:y:2020:i:18:p:1485-1488
    DOI: 10.1080/13504851.2019.1690626
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2019.1690626
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2019.1690626?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Dao Van Hung & Nguyen Thi Minh Hue & Vu Thuy Duong, 2021. "The Impact of COVID-19 on Stock Market Returns in Vietnam," JRFM, MDPI, vol. 14(9), pages 1-16, September.
    2. Sheikh, Umaid A. & Asadi, Mehrad & Roubaud, David & Hammoudeh, Shawkat, 2024. "Global uncertainties and Australian financial markets: Quantile time-frequency connectedness," International Review of Financial Analysis, Elsevier, vol. 92(C).
    3. Haoyuan Ding & Bo Pu & Tong Qi & Kai Wang, 2022. "Valuation effects of the US–China trade war: The effects of foreign managers and foreign exposure," Journal of Economic Surveys, Wiley Blackwell, vol. 36(3), pages 662-683, July.
    4. Yu, Mingzhe & Fan, Jiachuan & Wang, Haijun & Wang, Jie, 2023. "US trade policy uncertainty on Chinese agricultural imports and exports: An aggregate and product-level analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 70-83.
    5. 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).
    6. Yusaku Nishimura & Xuyi Dong & Bianxia Sun, 2021. "Trump's tweets: Sentiment, stock market volatility, and jumps," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(3), pages 497-512, September.
    7. Pan, Yueling & Hou, Lei & Pan, Xue, 2022. "Interplay between stock trading volume, policy, and investor sentiment: A multifractal approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    8. Ito, Asei & Lim, Jaehwan & Zhang, Hongyong, 2023. "Catching the political leader's signal: Economic policy uncertainty and firm investment in China," China Economic Review, Elsevier, vol. 81(C).
    9. Shah, Adil Ahmad & Dar, Arif Billah & Bhanumurthy, N.R., 2021. "Are precious metals and equities immune to monetary and fiscal policy uncertainties?," Resources Policy, Elsevier, vol. 74(C).
    10. Beckmann, Joscha & Czudaj, Robert L. & Murach, Michael, 2024. "Macroeconomic Effects from Media Coverage of the China-U.S. Trade War on selected EU Countries," MPRA Paper 121751, University Library of Munich, Germany.
    11. Carlomagno, Guillermo & Albagli, Elías, 2022. "Trade wars and asset prices," Journal of International Money and Finance, Elsevier, vol. 124(C).
    12. Killins, Robert N. & Ngo, Thanh & Wang, Hongxia, 2022. "Politics and equity markets: Evidence from Canada," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    13. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    14. Nerger, Gian-Luca & Huynh, Toan Luu Duc & Wang, Mei, 2021. "Which industries benefited from Trump environmental policy news? Evidence from industrial stock market reactions," Research in International Business and Finance, Elsevier, vol. 57(C).
    15. Alexander Koch & Toan Luu Duc Huynh & Mei Wang, 2024. "News sentiment and international equity markets during BREXIT period: A textual and connectedness analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 5-34, January.
    16. Chien-Chiang Lee & Farzan Yahya, 2024. "Have Dynamic Spillovers and the Connectedness of Trade Policy Uncertainty Changed During the COVID-19 Pandemic and Sino-US Trade Frictions?," Working Papers DP-2023-35, Economic Research Institute for ASEAN and East Asia (ERIA).
    17. Machus, Tobias & Mestel, Roland & Theissen, Erik, 2022. "Heroes, just for one day: The impact of Donald Trump’s tweets on stock prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    18. 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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:apeclt:v:27:y:2020:i:18:p:1485-1488. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.