Analysis of stochastic technical trading algorithms
Markus Höchstötter,
Mher M. Safarian and
Anna Krumetsadik
No 91, Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management
Abstract:
We apply the well-known CUSUM, the Girshick-Rubin, the Graversen-Peskir- Shiryaev and an improved alteration of the Brodsky-Darkovsky algorithm as trading strategies involving only mutually exclusive long positions in cash and the DAX at Xetra intraday auction prices. We select optimal pairs of fixed thresholds for up- and downmovements from a pre-defined two-dimensional grid, hence, admitting asymmetric intervals. We show that under three different scenarios for transaction costs, the improved Brodsky-Darkovsky technique not only outperforms the passive investment in the DAX but also the other three presented algorithms.
Keywords: CUSUM; Girshick-Rubin; Graversen-Peskir-Shiryaev; Brodsky-Darkovsky; trading algorithm; DAX (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-cmp and nep-mst
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/142154/1/861077997.pdf (application/pdf)
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:zbw:kitwps:91
DOI: 10.5445/IR/1000055429
Access Statistics for this paper
More papers in Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().