EconPapers    
Economics at your fingertips  
 

Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle

John Ameriks, Gabor Kezdi, Minjoon Lee and Matthew Shapiro

Journal of Business & Economic Statistics, 2020, vol. 38, issue 3, 633-646

Abstract: This article jointly estimates the relationship between stock share and expectations and risk preferences. The survey allows individual-level, quantitative estimates of risk tolerance and of the perceived mean, and variance of stock returns. These estimates have economically and statistically significant association for the distribution of stock shares with relative magnitudes in proportion with the predictions of theories. Incorporating survey measurement error in the estimation model increases the estimated associations 2-fold, but they are still substantially attenuated being only about 5% of what benchmark finance theories predict. Because of the careful attention in the estimation to measurement error, the attenuation likely arises from economic behavior rather than errors in variables.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (32)

Downloads: (external link)
http://hdl.handle.net/10.1080/07350015.2018.1549560 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle (2018) Downloads
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:taf:jnlbes:v:38:y:2020:i:3:p:633-646

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UBES20

DOI: 10.1080/07350015.2018.1549560

Access Statistics for this article

Journal of Business & Economic Statistics is currently edited by Eric Sampson, Rong Chen and Shakeeb Khan

More articles in Journal of Business & Economic Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-31
Handle: RePEc:taf:jnlbes:v:38:y:2020:i:3:p:633-646