International asset pricing with heterogeneous agents: Estimation and inference
Roméo Tédongap and
Jules Tinang
Journal of Empirical Finance, 2024, vol. 75, issue C
Abstract:
This paper empirically validates (Constantinides and Ghosh’s, 2017) heterogeneous-agents consumption-based asset pricing model for predicting expected returns in international equity markets. Using the model’s implications, we proxy the unobservable state variable driving income shocks with the principal component of consumption growth cumulants across agents. We confirm that both the level and changes in this cross-sectional consumption risk serve as pricing factors, emphasizing the importance of higher moments like skewness. The estimated structural parameters obtained from the Euler equations are statistically significant and plausible, while the factor risk premium estimates align with theoretical expectations. Our approach effectively explains the emerging versus developed premium, outperforming traditional methods reliant on cross-sectional variance. Our findings, robust across different model specifications and asset menus, highlight the imprecision of consumption-based factor risk premia estimates when limited to developed markets, a limitation mitigated by including emerging markets. The model demonstrates a 60% explanatory power, surpassing the global Fama–French model.
Keywords: Heterogeneous agents; Consumption risk; Higher-order cumulants; Asset pricing (search for similar items in EconPapers)
JEL-codes: G11 G15 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927539823001263
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:75:y:2024:i:c:s0927539823001263
DOI: 10.1016/j.jempfin.2023.101459
Access Statistics for this article
Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff
More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().