IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v13y2025i7p121-d1688515.html
   My bibliography  Save this article

Does Political Risk Affect the Efficiency of the Exchange-Traded Fund Market?—Entropy-Based Analysis Before and After the 2025 U.S. Presidential Inauguration

Author

Listed:
  • Joanna Olbryś

    (Faculty of Computer Science, Bialystok University of Technology, Wiejska 45a, 15-351 Białystok, Poland)

Abstract

The aim of this research is to thoroughly investigate the influence of the 2025 Donald Trump Presidential Inauguration on informational efficiency of the U.S. exchange-traded fund market in the context of political risk. The data set includes daily observations for twenty U.S. Exchange-Traded Funds (ETFs). The whole sample comprises the period from 20 October 2024 to 20 April 2025. Since the Presidential Inauguration of Donald Trump took place on 20 January 2025, two sub-samples of an equal length are analyzed: (1) the period before the 2025 U.S. Presidential Inauguration from 20 October 2024 to 19 January 2025 and (2) the period after the 2025 U.S. Presidential Inauguration from 20 January 2025 to 20 April 2025. Since the whole sample period is not long (six months), to estimate market efficiency, modified Shannon entropy based on symbolic encoding with two thresholds is used. The empirical findings are visualized by symbol-sequence histograms. The proposed research hypothesis states that the U.S. ETF market’s informational efficiency, as measured by entropy, substantially decreased during the turbulent period after the Donald Trump Presidential Inauguration compared to the period before the Inauguration. The results unambiguously confirm the research hypothesis and indicate that political risk could affect the informational efficiency of markets. To the best of the author’s knowledge, this is the first study exploring the influence of the Donald Trump Presidential Inauguration on the informational efficiency of the U.S. ETF market.

Suggested Citation

  • Joanna Olbryś, 2025. "Does Political Risk Affect the Efficiency of the Exchange-Traded Fund Market?—Entropy-Based Analysis Before and After the 2025 U.S. Presidential Inauguration," Risks, MDPI, vol. 13(7), pages 1-18, June.
  • Handle: RePEc:gam:jrisks:v:13:y:2025:i:7:p:121-:d:1688515
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/13/7/121/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/13/7/121/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Lettau & Ananth Madhavan, 2018. "Exchange-Traded Funds 101 for Economists," Journal of Economic Perspectives, American Economic Association, vol. 32(1), pages 135-154, Winter.
    2. Billio, Monica & Casarin, Roberto & Costola, Michele & Pasqualini, Andrea, 2016. "An entropy-based early warning indicator for systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 42-59.
    3. Bekaert, Geert & Harvey, Campbell R. & Lundblad, Christian T. & Siegel, Stephan, 2016. "Political risk and international valuation," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 1-23.
    4. Ozkan, Oktay, 2021. "Impact of COVID-19 on stock market efficiency: Evidence from developed countries," Research in International Business and Finance, Elsevier, vol. 58(C).
    5. Avi Thaker & Daniel Sonner & Leo H. Chan, 2025. "Using Machine Learning to Understand the Dynamics Between the Stock Market and US Presidential Election Outcomes," JRFM, MDPI, vol. 18(3), pages 1-16, February.
    6. Wang, Jingjing & Wang, Xiaoyang, 2021. "COVID-19 and financial market efficiency: Evidence from an entropy-based analysis," Finance Research Letters, Elsevier, vol. 42(C).
    7. Luca J. Liebi, 2020. "The effect of ETFs on financial markets: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 165-178, June.
    8. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    9. Kunal Saha & Vinodh Madhavan & G. R. Chandrashekhar, 2022. "Effect of COVID-19 on ETF and index efficiency: evidence from an entropy-based analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 347-359, April.
    10. Xavier Brouty & Matthieu Garcin, 2023. "A statistical test of market efficiency based on information theory," Quantitative Finance, Taylor & Francis Journals, vol. 23(6), pages 1003-1018, June.
    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. Bock, J. & Geissel, S., 2024. "Evolution of stock market efficiency in Europe: Evidence from measuring periods of inefficiency," Finance Research Letters, Elsevier, vol. 62(PA).
    2. Marszk, Adam & Lechman, Ewa, 2024. "What drives sustainable investing? Adoption determinants of sustainable investing exchange-traded funds in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 63-82.
    3. Andrew Phiri, 2022. "Changing efficiency of BRICS currency markets during the COVID-19 pandemic," Economic Change and Restructuring, Springer, vol. 55(3), pages 1673-1699, August.
    4. Jacek Karasinski, 2022. "The Impact of the COVID-19 Outbreak on the Weak-Form Informational Efficiency of the Warsaw Stock Exchange (Wplyw wybuchu epidemii COVID-19 na efektywnosc informacyjna Gieldy Papierow Wartosciowych w ," Research Reports, University of Warsaw, Faculty of Management, vol. 2(37), pages 15-28.
    5. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    6. Askari, Abolfazl & Hajizadeh, Ehsan, 2025. "A novel method for analyzing financial market efficiency through fuzzy set theory," Finance Research Letters, Elsevier, vol. 78(C).
    7. Tetsuya Takaishi, 2025. "Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets," Papers 2504.18960, arXiv.org.
    8. Wang, Xiaoyang, 2022. "Efficient markets are more connected: An entropy-based analysis of the energy, industrial metal and financial markets," Energy Economics, Elsevier, vol. 111(C).
    9. Marszk, Adam & Lechman, Ewa, 2021. "Reshaping financial systems: The role of ICT in the diffusion of financial innovations – Recent evidence from European countries," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    10. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    11. Roy, Archi & Soni, Anchal & Deb, Soudeep, 2023. "A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets," Energy Economics, Elsevier, vol. 124(C).
    12. Hong, Yun & Jiang, Yanhui & Su, Xiaojian & Deng, Chao, 2024. "Extreme state media reporting and the extreme stock market during COVID-19: A multi-quantile VaR Granger causality approach in China," Research in International Business and Finance, Elsevier, vol. 67(PA).
    13. Kumari, Vineeta & Kumar, Gaurav & Pandey, Dharen Kumar, 2023. "Are the European Union stock markets vulnerable to the Russia–Ukraine war?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    14. Mohamed Malek Belhoula & Walid Mensi & Kamel Naoui, 2024. "Impacts of investor's sentiment, uncertainty indexes, and macroeconomic factors on the dynamic efficiency of G7 stock markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2855-2886, June.
    15. Gaio, Luiz Eduardo & Stefanelli, Nelson Oliveira & Pimenta, Tabajara & Bonacim, Carlos Alberto Grespan & Gatsios, Rafael Confetti, 2022. "The impact of the Russia-Ukraine conflict on market efficiency: Evidence for the developed stock market," Finance Research Letters, Elsevier, vol. 50(C).
    16. Chen, Catherine Huirong & Choy, Siu Kai & Tan, Yongxian, 2022. "The cash conversion cycle spread: International evidence," Journal of Banking & Finance, Elsevier, vol. 140(C).
    17. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    18. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    19. Sebastian Eichfelder & Mona Lau, 2015. "Capitalization of capital gains taxes: (In)attention and turn-of-the-year returns," FEMM Working Papers 150019, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    20. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jrisks:v:13:y:2025:i:7:p:121-:d:1688515. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.