The Impact of a Millisecond: Measuring Latency Effects in Securities Trading

In the course of technological evolution security markets offer low-latency access to their customers. Although latency figures are used as marketing instruments, only little research sheds light on the means of those figures. This paper provides a performance measure on the effect of latency in the context of the competitive advantage of IT. Based on a historical dataset of Deutsche Borse’s electronic trading system Xetra an empirical analysis is applied. That way we quantify and qualify the impact of latency from a customer’s point of view.

[1]  Erik Theissen,et al.  Market Structure, Informational Efficiency and Liquidity: An Experimental Comparison of Auction and Dealer Markets , 1998 .

[2]  Miroslav Budimir,et al.  Latency in Electronic Securities Trading: A Proposal for Systematic Measurement , 2009, The Journal of Trading.

[3]  Varun Grover,et al.  Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times , 2008, J. Assoc. Inf. Syst..

[4]  Olaf Korn,et al.  Trading System and Market Integration , 1997 .

[5]  Robert E. Whaley,et al.  Intraday Price Change and Trading Volume Relations in the Stock and Stock Option Markets , 1990 .

[6]  Dipak Ghosh,et al.  Bid‐ask Spreads, Trading Volume and Volatility: Intra‐day Evidence from the London Stock Exchange , 1997 .

[7]  Tim Weitzel,et al.  Straight Through Processing auf XML-Basis im Wertpapiergeschäft , 2003, Wirtsch..

[8]  Eric K. Clemons,et al.  Evaluation of strategic investments in information technology , 1991, CACM.

[9]  Robert A. Schwartz,et al.  Equity markets in action : the fundamentals of liquidity, market structure & trading , 2004 .

[10]  Robert Kissell,et al.  Optimal Trading Strategies: Quantitative Approaches for Managing Market Impact and Trading Risk , 2003 .

[11]  Anna-Luisa Müller,et al.  Economic Evaluation and Optimization of the Degree of Automation in Insurance Processes , 2010, Bus. Inf. Syst. Eng..

[12]  Sundar G. Bharadwaj,et al.  Information Technology Effects on Firm Performance as Measured by Tobin's q , 1999 .

[13]  C. Moallemi,et al.  The Cost of Latency ∗ , 2009 .

[14]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[15]  Guido Schryen,et al.  Preserving Knowledge on IS Business Value , 2010, Bus. Inf. Syst. Eng..

[16]  Irene Aldridge,et al.  High-frequency Trading High-frequency Trading Industry Strategy Project Engineering Leadership Program , 2022 .

[17]  Markus Gsell,et al.  Algorithmic trading engines versus human traders - Do they behave different in securities markets? , 2009, ECIS.

[18]  Charles M. Jones,et al.  Does Algorithmic Trading Improve Liquidity? , 2010 .

[19]  Ian Domowitz,et al.  The Cost of Algorithmic Trading , 2005 .

[20]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..