Parameter Learning in General Equilibrium: The Asset Pricing Implications

Working Paper: NBER ID: w19705

Authors: Pierre Collin-Dufresne; Michael Johannes; Lars A. Lochstoer

Abstract: 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 with unknown parameters governing either long-run economic growth, the variance of shocks, rare events, or model selection. Overall, parameter learning generates long-lasting, quantitatively significant additional macro risks that help explain standard asset pricing puzzles.

Keywords: parameter learning; asset pricing; general equilibrium; macroeconomic risks

JEL Codes: G00; G01; G10; G12; G14


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Learning about the mean growth rate of consumption (E21)Long-lasting effects on asset pricing (G19)
Shocks to beliefs (D80)Permanent impacts on the pricing kernel (G19)
Parameter learning (C51)Subjective long-run consumption risks (D15)
Subjective long-run consumption risks (D15)Impact on asset prices (G19)
Parameter learning (C51)Impact on asset prices (G19)
Belief updating (D83)Large shocks to continuation utility (D11)
Large shocks to continuation utility (D11)Increased risk premium and return volatility (G19)
Presence of parameter uncertainty in asset pricing models (G19)High volatility in the price of risk and the equity risk premium (G19)
Model uncertainty regarding consumption growth dynamics (D15)Significant fluctuations in the risk premium and return volatility (G17)

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