In Search of Aggregate Jump and Volatility Risk in the Cross-Section of Stock Returns

Author(s):  
Martijn Cremers ◽  
Michael Halling ◽  
David Weinbaum
2014 ◽  
Vol 49 (5-6) ◽  
pp. 1133-1165 ◽  
Author(s):  
René Garcia ◽  
Daniel Mantilla-García ◽  
Lionel Martellini

AbstractIn this paper, we formally show that the cross-sectional variance of stock returns is a consistent and asymptotically efficient estimator for aggregate idiosyncratic volatility. This measure has two key advantages: It is model free and observable at any frequency. Previous approaches have used monthly model-based measures constructed from time series of daily returns. The newly proposed cross-sectional volatility measure is a strong predictor for future returns on the aggregate stock market at the daily frequency. Using the cross section of size and book-to-market portfolios, we show that the portfolios’ exposures to the aggregate idiosyncratic volatility risk predict the cross section of expected returns.


2015 ◽  
Author(s):  
Van Anh (Vivian) Mai ◽  
Tze Chuan 'Chewie' Ang ◽  
Victor Fang

2015 ◽  
Vol 70 (2) ◽  
pp. 577-614 ◽  
Author(s):  
MARTIJN CREMERS ◽  
MICHAEL HALLING ◽  
DAVID WEINBAUM

2016 ◽  
Vol 36 ◽  
pp. 134-149 ◽  
Author(s):  
Van Anh (Vivian) Mai ◽  
Tze Chuan ‘Chewie’ Ang ◽  
Victor Fang

CFA Digest ◽  
2008 ◽  
Vol 38 (3) ◽  
pp. 55-56
Author(s):  
Kathryn Dixon Jost

Sign in / Sign up

Export Citation Format

Share Document