When political leaders speak, market reacts: Unveiling the dynamic nexus of media chatter and crypto movements

The speculative nature of cryptocurrencies often reflects sensitivity to political news and media buzz. This study explores the dynamic nexus between cryptocurrencies and media coverage of global political leaders. It examines the influence of media chatter about Donald Trump, Emmanuel Macron, Joe Biden, Narendra Modi, Vladimir Putin, Xi Jinping, and Volodymyr Zelenskyy on the daily closing prices of Bitcoin, Decentraland, Dogecoin, Enjin, Ether, and Tether. Based on data collected through RavenPack’s media tracker, nonlinear association mining and wavelet coherence were applied to assess interlinkages. Predictive modeling with LightGBM, gradient boosting, XGBoost, and dynamic ensemble selection was used to evaluate forecast accuracy based on media and technical indicators. Explainable AI techniques helped identify the relative importance of each leader’s media presence in predicting asset movements. Results show that selected cryptocurrencies are influenced by RavenPack indicators, with Bitcoin showing strong dependence on media chatter surrounding Donald Trump.

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Publication Details

Journal
Borsa Istanbul Review
Published
2026-01-01
DOI
https://doi.org/10.1016/j.bir.2026.100786
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

When political leaders speak, market reacts: Unveiling the dynamic nexus of media chatter and crypto movements

Noelia García, Indranil Ghosh, Esteban Alfaro, Matías Gámez
Borsa Istanbul Review
Blockchain Technology Applications and Security
article

When political leaders speak, market reacts: Unveiling the dynamic nexus of media chatter and crypto movements

Noelia García, Indranil Ghosh, Esteban Alfaro, Matías Gámez
article en

Abstract

The speculative nature of cryptocurrencies often reflects sensitivity to political news and media buzz. This study explores the dynamic nexus between cryptocurrencies and media coverage of global political leaders. It examines the influence of media chatter about Donald Trump, Emmanuel Macron, Joe Biden, Narendra Modi, Vladimir Putin, Xi Jinping, and Volodymyr Zelenskyy on the daily closing prices of Bitcoin, Decentraland, Dogecoin, Enjin, Ether, and Tether. Based on data collected through RavenPack’s media tracker, nonlinear association mining and wavelet coherence were applied to assess interlinkages. Predictive modeling with LightGBM, gradient boosting, XGBoost, and dynamic ensemble selection was used to evaluate forecast accuracy based on media and technical indicators. Explainable AI techniques helped identify the relative importance of each leader’s media presence in predicting asset movements. Results show that selected cryptocurrencies are influenced by RavenPack indicators, with Bitcoin showing strong dependence on media chatter surrounding Donald Trump.

Borsa Istanbul Review
Institute of Management Technology (IN), University of Castilla-La Mancha (ES)
Openalex Percentile: Top 97%
Blockchain Technology Applications and Security
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