Statistical Arbitrage Pairs Trading with High-frequency Data

In recent years, more sophisticated techniques for analyzing data and exponential increase in computing power allow high-frequency trading. This paper provides a detailed overview on pairs trading in the context of intraday data and applies different strategies to minute-by-minute prices of the S&a...

Full description

Bibliographic Details
Main Authors: Johannes Stübinger, Jens Bredthauer
Format: Article
Language:English
Published: EconJournals 2017-09-01
Series:International Journal of Economics and Financial Issues
Online Access:https://www.econjournals.com/index.php/ijefi/article/view/5127
_version_ 1797921694694768640
author Johannes Stübinger
Jens Bredthauer
author_facet Johannes Stübinger
Jens Bredthauer
author_sort Johannes Stübinger
collection DOAJ
description In recent years, more sophisticated techniques for analyzing data and exponential increase in computing power allow high-frequency trading. This paper provides a detailed overview on pairs trading in the context of intraday data and applies different strategies to minute-by-minute prices of the S&P 500 constituents from 1998 to 2015. In the back-testing study, the best performing pairs trading approach produces statistically and economically significant returns of 50.50 percent p.a. and an annualized Sharpe ratio of 8.14 after transaction costs. Although most algorithms show declining returns over time, there still exist pairs trading strategies with favorable results in the recent past. Keywords:  Finance, pairs trading, high-frequency data. JEL classifications: G10, G11, G14
first_indexed 2024-04-10T14:19:32Z
format Article
id doaj.art-59773655b2da4000b440b0b4a4cdaaa2
institution Directory Open Access Journal
issn 2146-4138
language English
last_indexed 2024-04-10T14:19:32Z
publishDate 2017-09-01
publisher EconJournals
record_format Article
series International Journal of Economics and Financial Issues
spelling doaj.art-59773655b2da4000b440b0b4a4cdaaa22023-02-15T16:09:21ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382017-09-0174Statistical Arbitrage Pairs Trading with High-frequency DataJohannes Stübinger0Jens Bredthauer1University of Erlangen-Nürnberg, Department of Statistics and EconometricsUniversity of Erlangen-Nürnberg, Department of Statistics and Econometrics In recent years, more sophisticated techniques for analyzing data and exponential increase in computing power allow high-frequency trading. This paper provides a detailed overview on pairs trading in the context of intraday data and applies different strategies to minute-by-minute prices of the S&P 500 constituents from 1998 to 2015. In the back-testing study, the best performing pairs trading approach produces statistically and economically significant returns of 50.50 percent p.a. and an annualized Sharpe ratio of 8.14 after transaction costs. Although most algorithms show declining returns over time, there still exist pairs trading strategies with favorable results in the recent past. Keywords:  Finance, pairs trading, high-frequency data. JEL classifications: G10, G11, G14 https://www.econjournals.com/index.php/ijefi/article/view/5127
spellingShingle Johannes Stübinger
Jens Bredthauer
Statistical Arbitrage Pairs Trading with High-frequency Data
International Journal of Economics and Financial Issues
title Statistical Arbitrage Pairs Trading with High-frequency Data
title_full Statistical Arbitrage Pairs Trading with High-frequency Data
title_fullStr Statistical Arbitrage Pairs Trading with High-frequency Data
title_full_unstemmed Statistical Arbitrage Pairs Trading with High-frequency Data
title_short Statistical Arbitrage Pairs Trading with High-frequency Data
title_sort statistical arbitrage pairs trading with high frequency data
url https://www.econjournals.com/index.php/ijefi/article/view/5127
work_keys_str_mv AT johannesstubinger statisticalarbitragepairstradingwithhighfrequencydata
AT jensbredthauer statisticalarbitragepairstradingwithhighfrequencydata