We propose testing asset-pricing models using multi-horizon returns (MHR). MHR effectively generate a new set of test assets that are endogenous to the model and that identify a broad set of possible conditional misspecifications. We apply MHR-based testing to prominent linear factor models and...

Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models...

Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models...

We propose testing asset-pricing models using multi-horizon returns (MHR). A correctly specified stochastic discount factor prices the cross-section of returns at all horizons. We show that MHR are informative about the model's conditional implications. Different from typical conditioning...

Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models...

We propose testing asset-pricing models using multi-horizon returns (MHR). MHR effectively generate a new set of test assets that are endogenous to the model and that identify a broad set of possible conditional misspecifications. We apply MHR-based testing to prominent linear factor models and...