An Empirical Evaluation of the Long-Run Risks Model for Asset Prices

Working Paper: NBER ID: w15504

Authors: Ravi Bansal; Dana Kiku; Amir Yaron

Abstract: We provide an empirical evaluation of the forward-looking long-run risks (LRR) model and highlight model differences with the backward-looking habit based asset pricing model. We feature three key results: (i) Consistent with the LRR model, there is considerable evidence in the data of time-varying expected consumption growth and volatility, (ii) The LRR model matches the key asset markets data features, (iii) In the data and in the LRR model accordingly, past consumption growth does not predict future asset prices, whereas lagged consumption in the habit model forecasts future price-dividend ratios with an R2 of over 40%. Overall, our evidence implies that the LRR model provides a coherent framework to analyze and interpret asset prices.

Keywords: No keywords provided

JEL Codes: E0; G0; G1; 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
fluctuations in expected growth (E32)asset prices (G19)
consumption volatility (E20)asset prices (G19)
expected growth (O40)consumption volatility (E20)
past consumption growth (E20)asset prices (G19)
lagged consumption (E20)price-dividend ratios (G35)
consumption volatility (E20)price-dividend ratios (G35)
predictability of consumption growth (E21)asset prices (G19)

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