The Impact of Political Speech on Cryptocurrency Prices: An Analysis of Bitcoin Price Non-Synchronization In Turbulent Time of Socioeconomic Challengers

In the context of persistent socio-economic challenges and heightened geopolitical tensions, the influence of political communication on cryptocurrency markets has become an increasingly relevant field of inquiry. The present study examines the impact of political speech on Bitcoin price movements, focusing on the February 9, 2024, interview between Vladimir Putin and Tucker Carlson. High-frequency Bitcoin price data against EUR, GBP, and USD from Kraken and Binance (January 1–February 26, 2024) were synchronised with a fully timestamped interview transcript. Multiple linear regression analysis was applied to assess the relationship between speaking turns and price changes, controlling for cross-currency effects. The analysis revealed a statistically significant but weak positive association between Putin’s speaking turns and BTC/EUR price changes, while no significant effects were observed for BTC/GBP or BTC/USD. The findings indicate that Bitcoin prices, despite their decentralised and non-sovereign nature, remain sensitive to geopolitical events and political rhetoric. Considering ongoing sanctions, market volatility, and global economic uncertainty, these results underscore the importance of incorporating political risk variables into cryptocurrency valuation and forecasting models.

Authors

Institutions

Publication Details

Journal
SocioEconomic Challenges
Published
2025-10-03
DOI
https://doi.org/10.61093/sec.9(3).120-132.2025
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Political Speech on Cryptocurrency Prices: An Analysis of Bitcoin Price Non-Synchronization In Turbulent Time of Socioeconomic Challengers

Samuli Saarinen
SocioEconomic Challenges
Blockchain Technology Applications and Security
article

The Impact of Political Speech on Cryptocurrency Prices: An Analysis of Bitcoin Price Non-Synchronization In Turbulent Time of Socioeconomic Challengers

Samuli Saarinen
article en

Abstract

In the context of persistent socio-economic challenges and heightened geopolitical tensions, the influence of political communication on cryptocurrency markets has become an increasingly relevant field of inquiry. The present study examines the impact of political speech on Bitcoin price movements, focusing on the February 9, 2024, interview between Vladimir Putin and Tucker Carlson. High-frequency Bitcoin price data against EUR, GBP, and USD from Kraken and Binance (January 1–February 26, 2024) were synchronised with a fully timestamped interview transcript. Multiple linear regression analysis was applied to assess the relationship between speaking turns and price changes, controlling for cross-currency effects. The analysis revealed a statistically significant but weak positive association between Putin’s speaking turns and BTC/EUR price changes, while no significant effects were observed for BTC/GBP or BTC/USD. The findings indicate that Bitcoin prices, despite their decentralised and non-sovereign nature, remain sensitive to geopolitical events and political rhetoric. Considering ongoing sanctions, market volatility, and global economic uncertainty, these results underscore the importance of incorporating political risk variables into cryptocurrency valuation and forecasting models.

SocioEconomic ChallengesVol. 9(3)
Estonian Business School (EE)
Openalex Percentile: Top 58%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.