Testing technical trading strategies on China's equity ETFs: A skewness perspective
Xiaoye Jin
Emerging Markets Review, 2022, vol. 51, issue PA
Abstract:
We attempt to investigate the possible motives behind the popularity of technical analysis on China's equity ETFs by employing Ebert and Hilpert's (2019) approach with two additional extensions. Using the SSE 180 Index ETF from May 18, 2006 to December 8, 2020, we document that investors who apply technical rules on China's equity ETFs incline to do so because of the stylized fact that the skewness feature of technical analysis can meet their desire for it. We also find that investors should design a technical rule with a more reasonable and practical lag length of the price range (or the price change percentage) to fulfill their desire for higher skewness value. Moreover, we confirm that our empirical findings are robust even with the consideration of potential factors such as position constraint, market timing, reference return, market condition, transaction costs, and data-snooping bias.
Keywords: Exchange traded funds; Technical analysis; Skewness preference; Data-snooping bias (search for similar items in EconPapers)
JEL-codes: D83 G11 G14 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1566014121000728
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ememar:v:51:y:2022:i:pa:s1566014121000728
DOI: 10.1016/j.ememar.2021.100864
Access Statistics for this article
Emerging Markets Review is currently edited by Jonathan A. Batten
More articles in Emerging Markets Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().