Asset Pricing Tests with Long-run Risks in Consumption Growth
George Constantinides and
Anisha Ghosh
The Review of Asset Pricing Studies, 2011, vol. 1, issue 1, 96-136
Abstract:
We present a novel methodology for estimating/testing the Bansal and Yaron (2004) and related long-run risks (LRR) models based on the observation that the latent state variables are known functions of observables. The large standard error of the estimated elasticity of intertemporal substitution explains the controversy on its magnitude. The model requires higher persistence of consumption and dividend growth to explain the cross-section of returns than that observed in the data. The model matches the unconditional moments of consumption and dividend growth, but implies a higher risk-free rate and lower volatility of the price/dividend ratio, risk-free rate, and market return than those observed in the data. Contrary to the model implications, the conditional variance of the LRR variable fails to capture the large time variation in the equity premium.
JEL-codes: E44 G12 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (68)
Downloads: (external link)
http://hdl.handle.net/10.1093/rapstu/rar004 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Asset pricing tests with long run risks in consumption growth (2008) 
Working Paper: Asset Pricing Tests with Long Run Risks in Consumption Growth (2008) 
Working Paper: Asset Pricing Tests with Long Run Risks in Consumption Growth (2008) 
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:oup:rasset:v:1:y:2011:i:1:p:96-136.
Access Statistics for this article
The Review of Asset Pricing Studies is currently edited by Zhiguo He
More articles in The Review of Asset Pricing Studies from Society for Financial Studies
Bibliographic data for series maintained by Oxford University Press ().