 Localized risk factors: Performance differentials between state-level and US factor modelsOliver Budras, Maik Dierkes and Florian Sckade Economic Modelling, 2025, vol. 147, issue C Abstract: We extend the literature on the debate on whether global or local factor models more accurately price assets by comparing US factor models with state-specific localized versions. We show performance differentials between localized and market-wide models even within a country. Using a comprehensive set of factor models and anomaly portfolios as test assets, we show that state-level risk factors tend to outperform their US-wide counterparts. Additionally, US-wide factor models do not span local factors in most cases but can explain correlations of portfolio returns across states. Finally, we show that state-level characteristics as well as the intra- and inter-state return comovement affect the performance gap between state-level and US factor models. Increases in return comovement across states reduce the performance gap between models, while increases in comovement within states raise the latter. The results have important implications for the estimation of the cost of capital as well as portfolio diversification. Keywords: Local asset pricing; State-level factor models; Anomalies; Return comovement (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:147:y:2025:i:c:s0264999325000628 DOI: 10.1016/j.econmod.2025.107067 Access Statistics for this article Economic Modelling is currently edited by S. Hall and P. Pauly More articles in Economic Modelling from Elsevier |
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