A Note on the Predictive Power of the Variance Risk Premium: South African Evidence Benchmarked Against the USA
Y. Gopi and
D. Bradfield
Studies in Economics and Econometrics, 2016, vol. 40, issue 2, 53-70
Abstract:
Recent international evidence on the Variance Risk Premium, defined as the difference between implied and realised return variation, shows that this metric has predictive power in forecasting aggregate stock market returns. This evidence seems to be strongest for the US market. In this article we conduct a study on the ability of the Variance Risk Premium to predict aggregate stock returns for both the US market and the South African market, allowing us to contrast our South African results against the US. Our empirical study using US data confirms the predictive power of the Variance Risk Premium in the US market. The evidence from our empirical study in the South African market however reveals little or no predictive power of South African market returns, even when combined with typical economic predictor variables. Thus the use of a South African Variance Risk Premium for predictive purposes in the South African environment is currently not supported by this research. Our analysis does however suggest that the US VRP does have some predictive power for the SA stock market, but that this relationship is period dependent and might not persist into the future.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10800379.2016.12097297 (text/html)
Access to full text is restricted to subscribers.
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:taf:rseexx:v:40:y:2016:i:2:p:53-70
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsee20
DOI: 10.1080/10800379.2016.12097297
Access Statistics for this article
Studies in Economics and Econometrics is currently edited by Willem Bester
More articles in Studies in Economics and Econometrics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().