作者: Jozef Rudy , Christian Dunis , Gianluigi Giorgioni , Jason Laws
DOI: 10.2139/SSRN.2272605
关键词: Profitability index 、 Statistical arbitrage 、 Econometrics 、 Cointegration 、 Trading strategy 、 Arbitrage 、 Index arbitrage 、 Pairs trade 、 Information ratio 、 Economics
摘要: The motivation for this paper is to apply a statistical arbitrage technique of pairs trading high-frequency equity data and compare its profit potential the standard sampling frequency daily closing prices. We use simple strategy evaluate series information ratios yielded by each different frequencies. frequencies observed range from 5-minute interval, prices recorded at close day. analysis reveals that extent which are cointegrated provides good indicator profitability pair in highfrequency domain. For series, in-sample ratio future as well. Conclusive observations show fact present when applying novel diversified data. In particular, even once very conservative transaction costs taken into account, portfolio suggested achieves attractive (e.g. above 3 an average sampled interval 1 frequency).