The Asymmetry of Gain Loss Time Horizons on the JSE

F Toerien, D Rosenberg and R Kruger

Studies in Economics and Econometrics, 2014, vol. 38, issue 1, 65-74

Abstract: Although the equity investment horizon required to optimise the probability of realising specific returns is of significant interest to investors, little research has been published globally in this regard. In this paper we, for the first time, use reverse statistics to derive probability distributions of the times required to achieve specific levels of returns on the JSE. Specifically, we consider the total returns of the All Share Index (ALSI) for the period 1995 to 2012. We show that for matched pair target returns ranging from ±2% to ±8%, the maximum probability of the negative return on a timeline lies to the left of the maximum probability of the equivalent positive return. This gain-loss asymmetry is similar to that previously found for developed markets (e.g. for the Dow Jones Index), but opposite to that found for indices in Eastern Europe. Given that previous researchers ascribed this difference to a developed vs. emerging market dichotomy, this may indicate that the JSE more closely resembles developed than emerging equity markets. In addition, our probability distributions for the times required to achieve both specific positive and negative total returns should assist investors on the JSE to better plan their investment strategies.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10800379.2014.12097263 (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:38:y:2014:i:1:p:65-74

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsee20

DOI: 10.1080/10800379.2014.12097263

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 ().