Chapter

Working with High-Frequency Data

Financial Econometrics

  1. Irene Aldridge

Published Online: 15 DEC 2012

DOI: 10.1002/9781118182635.efm0067

Encyclopedia of Financial Models

Encyclopedia of Financial Models

How to Cite

Aldridge, I. 2012. Working with High-Frequency Data. Encyclopedia of Financial Models. .

Author Information

  1. Managing Partner, Able Alpha Trading

Publication History

  1. Published Online: 15 DEC 2012

Abstract

High-frequency trading (HFT) has exploded into the popular press as a major development affecting securities markets around the world. Unlike more established trading approaches that examine daily data and tactically rebalance portfolios every month or quarter, HFT parses trade-by-trade data at the highest speeds available. This typically implies that high-frequency traders monitor every tick of many securities concurrently and make their portfolio allocation decisions at lightning speeds with ultra-short investment horizons in mind. In fact, hedge fund managers consider strategies to be high frequency when their holding periods range from microseconds to several hours, without any positions held overnight. To process reams of data and make informed and rational decisions at such high speeds would be difficult even for the most accomplished traders. Thankfully, computer technology has evolved to become robust and inexpensive enough to aid any willing portfolio manager to take up the high-frequency craft.

Keywords:

  • High-frequency trading;
  • High-frequency data;
  • dark pools;
  • intertrade duration;
  • Poisson processes