What Information Drives Asset Prices?

Anisha Ghosh and George Constantinides

No 23689, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: The market price-dividend ratio is highly correlated with several macroeconomic variables, particularly inflation and labor market variables, but not with aggregate consumption and GDP. We incorporate this observation in an exchange economy with learning about the economic regime from consumption history and a latent signal. The estimated model rationalizes the moments of consumption and dividend growth, market return, price-dividend ratio, and real and nominal term structures and the low predictive power of the price-dividend ratio for consumption and dividend growth while a nested model with learning from consumption history alone does not. The intuition is that the beliefs process has high persistence and low variance because beliefs depend on the signal. The model fit remains largely intact when we replace the latent signal with a combination of macroeconomic variables that heavily loads on inflation and labor market variables. The results highlight the informational role of macroeconomic variables and suggest that just one combination of macroeconomic variables, along with consumption, proxies well for investors’ relevant information set.

JEL-codes: D00 E00 G12 G14 (search for similar items in EconPapers)
Date: 2017-08
New Economics Papers: this item is included in nep-mac
Note: AP
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Citations: View citations in EconPapers (5)

Published as Anisha Ghosh & George M Constantinides & Nikolai Roussanov, 2021. "What Information Drives Asset Prices?," The Review of Asset Pricing Studies, vol 11(4), pages 837-885.

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