← Back to results War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war A. Verma & Madhumita Chakraborty
What the paper says The paper investigates how attention to the Russia-Ukraine war affects cryptocurrency returns by creating a Google search volume index (GSVI) using Google trends keywords. It finds that crypto returns react positively to attention to war and negatively to the volatility index (VIX), demonstrating that investor fear during times of crisis may increase interest in cryptocurrencies. The research provides specific insights into crypto markets that can aid portfolio managers and regulators. It also adds to the limited studies on the impact of war on cryptocurrency returns.
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@article{a.2025,
title = {{War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war}},
author = {A. Verma & Madhumita Chakraborty},
journal = {IIMB Management Review},
year = {2025},
doi = {https://doi.org/https://doi.org/10.1016/j.iimb.2025.100552},
} TY - JOUR
TI - War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war
AU - Verma, A.
AU - Chakraborty, Madhumita
JO - IIMB Management Review
PY - 2025
ER - A. Verma & Madhumita Chakraborty (2025). War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war. *IIMB Management Review*. https://doi.org/https://doi.org/10.1016/j.iimb.2025.100552 A. Verma & Madhumita Chakraborty. "War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war." *IIMB Management Review* (2025). https://doi.org/https://doi.org/10.1016/j.iimb.2025.100552. War-driven attention and cryptocurrency returns: The case of the Russia–Ukraine war
A. Verma & Madhumita Chakraborty · IIMB Management Review · 2025
https://doi.org/https://doi.org/10.1016/j.iimb.2025.100552 Copy
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Flag this paper Evidence weight Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
F · citation impact 0.25 × 0.4 = 0.10 M · momentum 0.55 × 0.15 = 0.08 V · venue signal 0.50 × 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.