International asset pricing with heterogeneous agents: Estimation and inference

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.