EconPapers    
Economics at your fingertips  
 

Changing Risk-Return Profiles

Richard Crump, Domenico Giannone and C. Hundtofte

No 20181004, Liberty Street Economics from Federal Reserve Bank of New York

Abstract: Are stock returns predictable? This question is a perennially popular subject of debate. In this post, we highlight some results from our recent working paper, where we investigate the matter. Rather than focusing on a single object like the forecasted mean or median, we look at the entire distribution of stock returns and find that the realized volatility of stock returns, especially financial sector stock returns, has strong predictive content for the future distribution of stock returns. This is a robust feature of the data since all of our results are obtained with real-time analyses using stock return data since the 1920s. Motivated by this result, we then evaluate whether the banking system appears healthier today, and if recent regulatory reforms have helped.

Keywords: density forecasts; Dodd-Frank; Stock returns; financial conditions (search for similar items in EconPapers)
JEL-codes: G1 (search for similar items in EconPapers)
Date: 2018-10-04
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://libertystreeteconomics.newyorkfed.org/2018 ... return-profiles.html (text/html)

Related works:
Working Paper: Changing Risk-Return Profiles (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:fip:fednls:87282

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Liberty Street Economics from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().

 
Page updated 2025-03-31
Handle: RePEc:fip:fednls:87282