EconPapers    
Economics at your fingertips  
 

Macroeconomic determinants of stock market betas

Mariano Gonzalez Sanchez, Juan Nave and Gonzalo Rubio

Journal of Empirical Finance, 2018, vol. 45, issue C, 26-44

Abstract: This paper proposes the mixed frequency conditional beta. We employ the MIDAS framework to estimate market betas as a weighted average of a high and low frequency components. Then, we analyze the macroeconomic determinants of stock market betas and the counter- or pro-cyclicality of betas across well-known portfolio sorts. The surplus consumption ratio with time-varying risk aversion and the default premium are the aggregate variables with the higher statistical impact on stock market betas across alternative portfolios. We show the implications of the mixed frequency betas for the term structure of holding-period expected excess returns, and for alternative investment strategies.

Keywords: Stock market betas; Mixed data sampling (MIDAS); Low-frequency component; High-frequency component; Macroeconomic indicators (search for similar items in EconPapers)
JEL-codes: C22 E32 E44 G12 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927539817300944
Full text for ScienceDirect subscribers only

Related works:
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:empfin:v:45:y:2018:i:c:p:26-44

DOI: 10.1016/j.jempfin.2017.10.003

Access Statistics for this article

Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff

More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:empfin:v:45:y:2018:i:c:p:26-44