The Impact of US Presidential Elections on Global Market Dynamics: An Analysis of the 2020–2024 Elections
Abstract
By examining both short-term price reactions and long-term dynamic interactions, this study investigates how the U.S. presidential elections affect international financial markets. Using the MSCI Developed Markets (DM) and MSCI Emerging Markets (EM) indexes, the research focuses on the elections won by Joe Biden in 2020 and Donald Trump in 2024. The TVP-VAR framework is used to examine long-term dynamics, whereas an event study technique is used to investigate short-term consequences. The results of the event study show that short-term market reactions mostly stay within their confidence bands and that average abnormal returns around the election announcement and inauguration dates do not show a clear directional change. On the other hand, cumulative abnormal returns show that while DM markets performed better during the 2024 election era, EM markets outperformed DM markets during the 2020 election period. While there is no significant divergence in average abnormal returns between EM and DM markets, the divergence in cumulative abnormal returns suggests, contrary to a paradox, that markets have priced in election uncertainty and policy expectations cumulatively over time, rather than reacting on election day. According to the TVP-VAR results, the two markets are strongly interconnected and shock transmission primarily moves from DM to EM, with brief fluctuations noted during election seasons. Overall, the findings show that the effect of U.S. presidential elections on international financial markets differs depending on the political stance of the elected leader; the Trump administration tends to favor developed markets, while the Biden administration offers a more favorable pricing environment for emerging markets.
Fields of Study & Subjects
Market Dynamics and Volatility
Financial Markets and Investment Strategies
COVID-19 Pandemic Impacts
Publication details
- Journal / source
- Black Sea Journal of Public and Social Science
- Issue
- 9
- Pages
- 32–46
- Publication date
- 27 January 2026