Dynamic ETF Pairs Trading System. Evidence From Australia

N. Robert Enemuwe
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引用次数: 1

Abstract

This study evaluates the profitability of dynamic pairs trading strategies using a proposed 3-step pairs selection approach. We extend the pairs trading methodology employed by Miao (2014) to the broad-based exchange traded funds (ETFs) listed on the Australian Securities Exchange (ASX). The 3-step approach incorporates the correlation, cointegration and error correction coefficient as the pre-selection criteria during the formation period. In the subsequent trading period, we employ a daily re-calibration of the parameters using a 252-day rolling window from January 1, 2013 to September 30, 2015. We developed a real-time trading system using the Java programming language and KDB database, and back test the strategies using tick-by-tick historical quotes during the trading period. The back testing of the top five ETF pairs: ISO-SSO, IOZ-VAS, IOZ-STW, STW-VAS and STW-SFY yield cumulative returns of 10.08%, 4.41%, 19.70%, 62.27%, 46.60% and Sharpe ratios of 2.21, 1.00, 9.29, 15.12, 11.17 respectively. The maximum draw down is -32.47% over the trading period.
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动态ETF配对交易系统。来自澳大利亚的证据
本研究评估了动态配对交易策略的盈利能力,采用了建议的三步配对选择方法。我们将Miao(2014)采用的配对交易方法扩展到在澳大利亚证券交易所(ASX)上市的基础广泛的交易所交易基金(etf)。该方法将相关系数、协整系数和误差校正系数作为地层期的预选标准。在随后的交易期间,我们使用从2013年1月1日至2015年9月30日的252天滚动窗口每天重新校准参数。我们使用Java编程语言和KDB数据库开发了一个实时交易系统,并在交易期间使用逐点历史报价对策略进行了回测。对排名前五的ETF对:ISO-SSO、IOZ-VAS、IOZ-STW、STW-VAS和STW-SFY的累计收益率分别为10.08%、4.41%、19.70%、62.27%、46.60%,夏普比率分别为2.21、1.00、9.29、15.12、11.17。交易期间的最大跌幅为-32.47%。
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