An Application of Evolutionary Finance to Firms Listed in the Swiss Market Index
Thorsten Hens,
Klaus Schenk-Hoppé and
Martin Stalder
Swiss Journal of Economics and Statistics (SJES), 2002, vol. 138, issue IV, 465-487
Abstract:
This paper presents an application of evolutionary portfolio theory to stocks listed in the Swiss Market Index (SMI). We study numerically the long-run outcome of the competition of rebalancing rules for market shares in a stock market with actual dividends taken from firms listed in the SMI. Returns are endogenous because prices are determined by supply and demand stemming from the rebalancing rules. Our simulations show that in competition with rebalancing rules derived from Mean-Variance Optimization, Maximum Growth Theory and Behavioral Finance, the evolutionary portfolio rule discovered in Hens and Schenk-Hoppé (2001) will eventually hold total market wealth. According to this simple rule the portfolio weights should be proportional to the expected relative dividends of the assets.
Keywords: Evolutionary Finance; Behavioral Finance; CAPM; Rebalancing Rules; Growth Optimal Portfolio (search for similar items in EconPapers)
JEL-codes: D52 D81 D83 G11 (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sjes.ch/papers/2002-IV-9.pdf (application/pdf)
Related works:
Working Paper: An Application of Evolutionary Finance to Firms Listed in the Swiss Market Index 
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:ses:arsjes:2002-iv-9
Access Statistics for this article
Swiss Journal of Economics and Statistics (SJES) is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Kurt Schmidheiny ().