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Media type:
Text;
Electronic Conference Proceeding
Title:
Widened Learning of Index Tracking Portfolios
Contributor:
Gavriushina, Iuliia
[Author];
Sampson, Oliver R.
[Author];
Berthold, Michael R.
[Author];
Pohlmeier, Winfried
[Author];
Borgelt, Christian
[Author]
Published:
KOPS - The Institutional Repository of the University of Konstanz, 2019
Language:
English
DOI:
https://doi.org/10.1109/ICMLA.2019.00291
ISBN:
1741455146
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
Index investing has an advantage over active investment strategies, because less frequent trading results in lower expenses, yielding higher long-term returns. Index tracking is a popular investment strategy that attempts to find a portfolio replicating the performance of a collection of investment vehicles. This paper considers index tracking from the perspective of solution space exploration. Three search space heuristics in combination with three portfolio tracking error methods are compared in order to select a tracking portfolio with returns that mimic a benchmark index. Experimental results conducted on real-world datasets show that Widening, a metaheuristic using diverse parallel search paths, finds superior solutions than those found by the reference heuristics. Presented here are the first results using Widening on time-series data. ; published