English

Efficient Computation of Optimal Trading Strategies

Computational Engineering, Finance, and Science 2010-09-24 v1 Computational Finance

Abstract

Given the return series for a set of instruments, a \emph{trading strategy} is a switching function that transfers wealth from one instrument to another at specified times. We present efficient algorithms for constructing (ex-post) trading strategies that are optimal with respect to the total return, the Sterling ratio and the Sharpe ratio. Such ex-post optimal strategies are useful analysis tools. They can be used to analyze the "profitability of a market" in terms of optimal trading; to develop benchmarks against which real trading can be compared; and, within an inductive framework, the optimal trades can be used to to teach learning systems (predictors) which are then used to identify future trading opportunities.

Keywords

Cite

@article{arxiv.1009.4683,
  title  = {Efficient Computation of Optimal Trading Strategies},
  author = {Victor Boyarshinov and Malik Magdon-Ismail},
  journal= {arXiv preprint arXiv:1009.4683},
  year   = {2010}
}

Comments

45 pages; working paper

R2 v1 2026-06-21T16:18:17.984Z