Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/342187 
Year of Publication: 
2025
Citation: 
[Journal:] Scottish Journal of Political Economy [ISSN:] 1467-9485 [Volume:] 73 [Issue:] 1 [Article No.:] e70028 [Publisher:] Wiley [Year:] 2025
Abstract: 
ABSTRACT We study the nexus between political geography and stock market volatility by examining the interrelation between political geography and the predictive relation between the state‐ and aggregate‐level stock market volatility via recently constructed measures of political alignment. Using data for 1994–2023 and random forests, we show that the importance of the state‐level volatilities as drivers of aggregate volatility displays considerable variation in the cross‐section and across time. Stronger political alignment of a state with the ruling party is associated with a lower contribution of the state's volatility to aggregate volatility. This negative link is significant during high‐sentiment periods.
Subjects: 
investor sentiment
political alignment
random forests
stock market volatility
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version
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