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...
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Format: | Article |
Language: | English |
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EconJournals
2017-09-01
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Series: | International Journal of Economics and Financial Issues |
Online Access: | https://econjournals.com/index.php/ijefi/article/view/5127 |
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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
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first_indexed | 2024-04-10T14:11:45Z |
format | Article |
id | doaj.art-16767aaf2f624d739decfcf17a33c300 |
institution | Directory Open Access Journal |
issn | 2146-4138 |
language | English |
last_indexed | 2024-04-10T14:11:45Z |
publishDate | 2017-09-01 |
publisher | EconJournals |
record_format | Article |
series | International Journal of Economics and Financial Issues |
spelling | doaj.art-16767aaf2f624d739decfcf17a33c3002023-02-15T16:09:40ZengEconJournalsInternational 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://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://econjournals.com/index.php/ijefi/article/view/5127 |
work_keys_str_mv | AT johannesstubinger statisticalarbitragepairstradingwithhighfrequencydata AT jensbredthauer statisticalarbitragepairstradingwithhighfrequencydata |