This paper develops a new performance measurement methodology for algorithmic trading. By adapting capability from the quality control literature, we present new criteria for assessing control, expected tail loss and risk-adjusted performance in a single framework. The multi-scale capability...

Defining α in high frequency trading is more complicated than in low frequency since not all strategies are based on price forecasts. More components are required, as is an understanding of the interactions between them. In this paper, we develop the α attribution model for high frequency...

AT 9000 is an industry-specific quality management system standard for automated and algorithmic trading. The aim of AT 9000 is to address the safety issues inherent in automated trading by way of industry self-regulation. While the project is being developed under the ANSI/X9 umbrella, the goal...

This paper examines every NASDAQ ITCH feed message for the S&P 500 stocks for 2012 and identifies clusters of extremely high and extremely low limit order cancellation activity. We find results consistent with the ideas that cancel clusters are the result of high frequency traders jockeying for...

Purpose: This paper investigates the strategic behavior of algorithmic trading firms from an innovation economics perspective. We seek to uncover the sources of competitive advantage these firms develop to make markets inefficient for them and enable their survival.Methodology: First, we review...