RT Journal Article
SR Electronic
A1 Adnan, ATM
A1 Khan, Md Arif Hasan
A1 Tapan Mahmud, Md
A1 Kumkum, Sabira
A1 Al-Mamun, Abdullah
T1 Geopolitical Shocks and Asset Pricing: Global Cross-Sectional Evidence from Defense and Aerospace Firms amid the Russia-Ukraine War
JF European Journal of Business Science and Technology
YR 2026
VO 11
IS 2
UL https://ejobsat.cz/artkey/ejo-202502-0006.php
AB This study addresses a critical gap in geopolitical finance by examining the heterogeneous capital market reactions of 370 global defense and aerospace (D&A) firms to the 2022 Russia-Ukraine war. While the impact of geopolitical shocks on financial markets is well-documented, the specific determinants of intra-sectoral returns remain underexplored. Employing an event study methodology, this research quantifies abnormal returns around the invasion date and conducts cross-sectional analyses to test whether these returns are systematically moderated by firms' home country attributes, including geopolitical alignment (G7 vs. non-G7), economic status, and national defense budget levels. The empirical results reveal a profound and statistically significant divergence: firms domiciled in developed, G7, and high-budget nations experienced large positive abnormal returns, while those in other national contexts suffered significant losses. Critically, the analysis finds no evidence of a firm-size "leadership premium," as the performance difference between the industry's largest firms and their smaller counterparts was statistically insignificant. These findings suggest the market's reaction was a sophisticated assessment of sovereign fiscal capacity, where investors priced in a "geopolitical premium" for firms in nations with a credible ability to fund a military buildup, while penalizing those in fiscally constrained countries for perceived macroeconomic risk. This research contributes to the literature by demonstrating that during a systemic geopolitical crisis, a nation's macroeconomic and political attributes can dominate firm-specific characteristics in driving asset valuation.