Sampling frequency and the performance of different types of technical trading rules

Robert Hudson, Frank McGroarty and Andrew Urquhart

Finance Research Letters, 2017, vol. 22, issue C, 136-139

Abstract: The predictive ability of technical trading rules has been studied in great detail however many papers group all technical trading rules together into one basket. We argue that there are two main types of technical trading rules, namely rules based on trend-following and mean reversion. Utilising high-frequency commodity ETF data, we show that mean-reversion based rules perform increasingly better as sampling frequencies increase and that conversely the performance of trend-following rules deteriorate at higher-frequencies. These findings are possibly related to noise created by high-frequency traders.

Keywords: Technical analysis; High-frequency trading; Commodity ETFs; Market efficiency (search for similar items in EconPapers)
JEL-codes: G10 G11 G12 G14 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:22:y:2017:i:c:p:136-139

DOI: 10.1016/j.frl.2016.12.015

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