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

Indranil Ghosh et al.

Borsa Istanbul Review2026https://doi.org/10.1016/j.bir.2026.100786article
ABDC B
Weight
0.50

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.

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https://doi.org/https://doi.org/10.1016/j.bir.2026.100786

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@article{indranil2026,
  title        = {{When political leaders speak, market reacts: Unveiling the dynamic nexus of media chatter and crypto movements}},
  author       = {Indranil Ghosh et al.},
  journal      = {Borsa Istanbul Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.bir.2026.100786},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.