Are There Fences in the Global Factor Zoo?

2024-04-01·
Merlin Bartel
Sebastian Stöckl
Sebastian Stöckl
,
Joshua Traut
· 2 min read
Violin plots for Sharpe ratios of different (advanced) factor momentum strategies: Standard vs. continental signal, vs. developed market signal vs. global signal.
Abstract
We revisit the established dominance of local factors in international asset pricing by examining the predictability anomalies through the lens of factor momentum signals. Differing from previous results for asset pricing models where local factors are typically seen as superior to regional and global factors, our research reveals that regional and global signals surpass local signals in forecasting factor risk premiums. Strategies formed on non-local signals generally outperform strategies formed on local signals in all considered metrics. This outperformance is more pronounced for factors and regions with high structural integration. Non-local factor predictability potentially improves leading asset pricing models. Moreover, non-local signals revive momentum investing in markets previously thought to lack momentum opportunities, such as Japan.
Publication
Working Paper (University of Liechtenstein & University of St. Gallen)
A previous version of the paper circled under the title “How Global is Factor Predictability?”.

In this study, we revisited the debate on the efficacy of local versus regional and global asset pricing models through the lens of factor predictability and momentum. By integrating factor momentum into our analysis, we demonstrate that regional and global signals exhibit superior predictive performance for time-varying expected returns, as evidenced by higher average Sharpe ratios and lower dispersion of these across markets. This simple, yet efficient method shows that factor predictability is a non-local phenomenon. Through a structural analysis, we provide evidence that the superiority of non-local models is likely attributable to cross-country factor co-movement. Notably, our findings reveal that regional and global factor signals not only offer a more robust framework for predicting asset returns but also have the unique ability to recreate momentum strategies in markets previously thought to be devoid of momentum opportunities, such as Japan. This suggests that the incorporation of regional and local country signals into empirical asset pricing can unlock previously unidentified momentum-based investment opportunities, thereby enriching the arsenal of strategies available to international investors. Furthermore, the outperformance of regional and global models over local models underscores the importance of considering broader, cross-border economic and financial indicators in (predictive) asset pricing.

In conclusion, our research contributes to the ongoing discourse on international asset pricing by highlighting the superior performance and practical benefits of adopting regional and global predictive signals. These findings not only challenge traditional views but also pave the way for future research to explore the intricate dynamics between factor predictability, momentum, and asset pricing on a global scale. As markets continue to evolve, it becomes imperative for asset pricing models to adapt accordingly, embracing a more holistic view that captures the complexities of global financial markets.