Advance information and asset prices
Rui Albuquerque and
Jianjun Miao
Journal of Economic Theory, 2014, vol. 149, issue C, 236-275
Abstract:
This paper provides a dynamic rational expectations equilibrium model in which investors have heterogeneous information and investment opportunities. Informed investors privately receive advance information about future earnings that is unrelated to current earnings. In response to good advance information, stock prices increase and informed investors act as trend chasers, increasing their investment in stocks. Informed investors also buy other investment opportunities that are positively correlated with stocks, bearing more aggregate risk. The expected risk premium increases generating short-run momentum. Uninformed investors sell stocks, acting as contrarians. When the advance information materializes in the future, excess returns fall, generating long-run reversals.
Keywords: Advance information; Rational expectations equilibrium; Momentum and reversal effects (search for similar items in EconPapers)
JEL-codes: G11 G12 G14 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022053113001178
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Advance Information and Asset Prices (2008) 
Working Paper: Advance Information and Asset Prices (2007) 
Working Paper: Advance Information and Asset Prices
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jetheo:v:149:y:2014:i:c:p:236-275
DOI: 10.1016/j.jet.2013.06.001
Access Statistics for this article
Journal of Economic Theory is currently edited by A. Lizzeri and K. Shell
More articles in Journal of Economic Theory from Elsevier
Bibliographic data for series maintained by Catherine Liu ().