IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v80y2025ics0275531925003605.html

Election-induced volatility and cross-asset spillovers: The impact of political uncertainty on cryptocurrencies, stocks, and oil

Author

Listed:
  • Ampountolas, Apostolos

Abstract

This study examines volatility spillovers among cryptocurrencies, stock indices, and crude oil during the U.S. presidential election cycle of 2024, characterized by the Democratic Vice President’s nomination and the subsequent re-election of the Republican candidate. Using daily data from July 20, 2024, to January 23, 2025, within a VAR framework, we analyze interdependencies through Granger causality tests, impulse response functions (IRFs), and variance decomposition. To capture the time-varying nature of volatility, we employ an eGARCH model, which reveals asymmetric responses to political events. Bitcoin (BTC-USD) exhibits heightened sensitivity to election-related uncertainty, remaining largely independent of traditional markets in the short term while significantly influencing the S&P500 (GSPC) over longer horizons, explaining 72.93% of the variance, suggesting increasing institutional integration. An event study methodology further quantifies abnormal returns around key political announcements, highlighting market reactions to evolving regulatory expectations. European indices (FTSE, GDAXI, FCHI) display strong interconnectedness, while crude oil futures (BZ=F) remain relatively insulated, aside from modest interactions with Bitcoin. The election outcomes introduced short-term uncertainty, amplifying volatility spillovers across asset classes. Finally, the study highlights the impact of political events on shaping global financial dynamics, offering insights into portfolio diversification and risk management strategies in an era of increasing cryptocurrency adoption.

Suggested Citation

  • Ampountolas, Apostolos, 2025. "Election-induced volatility and cross-asset spillovers: The impact of political uncertainty on cryptocurrencies, stocks, and oil," Research in International Business and Finance, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:riibaf:v:80:y:2025:i:c:s0275531925003605
    DOI: 10.1016/j.ribaf.2025.103104
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925003605
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.103104?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. Apostolos Ampountolas, 2024. "Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insights from GARCH and SVR Models," IJFS, MDPI, vol. 12(3), pages 1-20, June.
    3. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    4. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2008. "Stock market volatility around national elections," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1941-1953, September.
    5. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    6. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    7. Yu, Wei & Zheng, Ying & Jia, Jianjun, 2025. "Political uncertainty and stock performance: Evidence from sessions of the Chinese Provincial People’s Congress," Research in International Business and Finance, Elsevier, vol. 75(C).
    8. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 6(2), pages 159-178.
    9. Bouazizi, Tarek & Galariotis, Emilios & Guesmi, Khaled & Makrychoriti, Panagiota, 2023. "Investigating the nature of interaction between crypto-currency and commodity markets," International Review of Financial Analysis, Elsevier, vol. 88(C).
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Bouri, Elie & Jalkh, Naji, 2024. "Flight-to-safety across time and market conditions," International Review of Economics & Finance, Elsevier, vol. 94(C).
    12. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    13. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    14. Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    15. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    16. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
    17. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    18. Nguyen, Phuc Lam Thy & Alsakka, Rasha & Mantovan, Noemi, 2023. "Political preferences and stock markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    19. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    20. Sonenshine, Ralph & Aboulhosn, Aya, 2025. "Impact of political risk on emerging market risk premiums and risk adjusted returns," Research in International Business and Finance, Elsevier, vol. 73(PA).
    21. Yung-Chuan Lee & Ming-Chang Wang, 2014. "Does the Appointment of Independent Directors Drive Multiple Effects?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(1), pages 69-88.
    22. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    23. Wadhwa, Kavita & Goodell, John W., 2024. "Political uncertainty and stock price crash risk: Insights from state-elections in an emerging market," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    24. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    25. Shaikh, Imlak, 2017. "The 2016 U.S. presidential election and the Stock, FX and VIX markets," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 546-563.
    26. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    27. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    28. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
    29. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
    30. Kaczmarek, Tomasz & Demir, Ender & Rouatbi, Wael & Zaremba, Adam, 2025. "Tariff exposure and sectoral vulnerability: Evidence from equity market responses to the 2025 U.S. trade shock," Research in International Business and Finance, Elsevier, vol. 77(PB).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. de Almeida, Israel Nunes & Palazzi, Rafael Baptista & Klotzle, Marcelo Cabus, 2026. "Breaking from the herd: Evidence from the 2024 U.S. election," Economics Letters, Elsevier, vol. 259(C).
    2. Ampountolas, Apostolos, 2025. "Political uncertainty and market regimes: Clustering evidence from the 2024 U.S. election cycle," Finance Research Letters, Elsevier, vol. 86(PB).

    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. Apostolos Ampountolas & Mark Legg & Gareth Shaw, 2024. "Real estate investment trusts during market shocks: Impact and resilience," Tourism Economics, , vol. 30(6), pages 1557-1579, September.
    2. Ampountolas, Apostolos, 2025. "Political uncertainty and market regimes: Clustering evidence from the 2024 U.S. election cycle," Finance Research Letters, Elsevier, vol. 86(PB).
    3. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    4. Achraf Ghorbel & Wajdi Frikha & Yasmine Snene Manzli, 2022. "Testing for asymmetric non-linear short- and long-run relationships between crypto-currencies and stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 387-425, September.
    5. Liu, Jianjian & Wang, Shuhan & Xiang, Lijin & Ma, Shiqun & Xiao, Zumian, 2024. "Unveiling hidden connections: Spillover among BRICS' cryptocurrency-implied exchange rate discounts and US financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    6. Okoroafor, Ugochi C. & Leirvik, Thomas, 2023. "Time-varying market efficiency of safe-haven assets," Finance Research Letters, Elsevier, vol. 56(C).
    7. Ding, Li & Lam, Hugo K.S. & Cheng, T.C.E. & Zhou, Honggeng, 2018. "A review of short-term event studies in operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 200(C), pages 329-342.
    8. Stephen Kawas & Everton Dockery, 2023. "What do we know about the stock markets’ reaction to regulatory announcements regarding financial institutions? Evidence from UK financial institutions," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 31-67, January.
    9. Duc Huynh, Toan Luu & Burggraf, Tobias & Wang, Mei, 2020. "Gold, platinum, and expected Bitcoin returns," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    10. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-003/III, Tinbergen Institute.
    11. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    12. Yang, Cai & Wang, Xinyi & Gao, Wang, 2022. "Is Bitcoin a better hedging and safe-haven investment than traditional assets against currencies? Evidence from the time-frequency domain approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    13. Bhanja, Niyati & Shah, Adil Ahmad & Dar, Arif Billah, 2023. "Aggregate, asymmetric and frequency-based spillover among equity, precious metals, and cryptocurrency," Resources Policy, Elsevier, vol. 80(C).
    14. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    15. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    16. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    17. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    18. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
    19. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    20. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).

    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:eee:riibaf:v:80:y:2025:i:c:s0275531925003605. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.