Volume 26, Issue 13 pp. 2149-2156
Special Issue Paper

Fast construction of nanosecond level snapshots of financial markets

Jiading Gai

Jiading Gai

College of Business, University of Illinois, Urbana-Champaign, IL, 15213 USA

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Dong Ju Choi

Dong Ju Choi

San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093 USA

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David O'Neal

David O'Neal

Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, 15213 USA

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Mao Ye

Mao Ye

College of Business, University of Illinois, Urbana-Champaign, IL, 15213 USA

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Robert S. Sinkovits

Corresponding Author

Robert S. Sinkovits

San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093 USA

Correspondence to: Robert S. Sinkovits, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA.

E-mail: [email protected]

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First published: 12 February 2014
Citations: 3

SUMMARY

The goal of this project is to rapidly construct an order-by-order level snapshot of financial markets with nanosecond resolution time stamps. We are particularly interested in understanding the impact of high-frequency traders on the security, stability, and fairness of these markets. In this paper, we describe our computational approach, the optimizations that were applied to improve the performance of the software by a factor of more than 125×, and the new capabilities that can be enabled using a combination of fast algorithms and XSEDE resources. Copyright © 2014 John Wiley & Sons, Ltd.

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