Policy-sensitive crypto assets: Event study of thematic returns around U.S. elections

• Crypto assets react sharply to U.S. election outcomes. • Policy-sensitive categories show strongest post-election gains. • Thematic crypto portfolios diverge in political risk pricing. This paper analyzes how thematic crypto asset categories responded to the 2024 U.S. presidential election using cumulative abnormal returns (CARs) within an event study framework. We examine four thematic categories: Made in U.S., DeFi & Real-World Assets, AI & Big Data, and World Liberty Financial. The results show significant negative CARs in the pre-election window, followed by sharp positive reversals on the election day and after the election. The most pronounced post-election recoveries appear in the Made in U.S. category with CARs over 40%, suggesting market reassessment of regulatory expectations. Innovation-driven categories such as (World Liberty Financial, DeFi & Real-World Assets, and AI & Big Data) exhibit more muted responses. These findings underscore how political alignment influences crypto performance and offer new evidence on the pricing of political risk in digital asset markets.

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Publication Details

Journal
Economics Letters
Published
2025-11-13
DOI
https://doi.org/10.1016/j.econlet.2025.112723
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

Policy-sensitive crypto assets: Event study of thematic returns around U.S. elections

Kevin Pirazzi Maffiola, Hasret Ozan Sevim
1 citations
Economics Letters
Blockchain Technology Applications and Security
3.25
article

Policy-sensitive crypto assets: Event study of thematic returns around U.S. elections

Kevin Pirazzi Maffiola, Hasret Ozan Sevim
article en
1 citations

Abstract

• Crypto assets react sharply to U.S. election outcomes. • Policy-sensitive categories show strongest post-election gains. • Thematic crypto portfolios diverge in political risk pricing. This paper analyzes how thematic crypto asset categories responded to the 2024 U.S. presidential election using cumulative abnormal returns (CARs) within an event study framework. We examine four thematic categories: Made in U.S., DeFi & Real-World Assets, AI & Big Data, and World Liberty Financial. The results show significant negative CARs in the pre-election window, followed by sharp positive reversals on the election day and after the election. The most pronounced post-election recoveries appear in the Made in U.S. category with CARs over 40%, suggesting market reassessment of regulatory expectations. Innovation-driven categories such as (World Liberty Financial, DeFi & Real-World Assets, and AI & Big Data) exhibit more muted responses. These findings underscore how political alignment influences crypto performance and offer new evidence on the pricing of political risk in digital asset markets.

Economics LettersVol. 258
Università Cattolica del Sacro Cuore (IT), Università di Camerino (IT), University of the Sacred Heart (JP)
Openalex Percentile: Top 6%
Blockchain Technology Applications and Security
3.25
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