G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10018
DP10018 Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-scale, Data-Snooping Robust Analysis of Technical Trading in the Foreign Exchange Market
Mark Taylor; Po-Hsuan Hsu
发表日期2014-06-08
出版年2014
语种英语
摘要We carry out a large-scale investigation of technical trading rules in the foreign exchange market, using daily data over a maximum of forty years for thirty developed and emerging market currencies. Employing a stepwise test to safeguard against data-snooping bias and examining over 21,000 technical trading rules, we find evidence of substantial predictability in both developed and emerging markets, measured against a variety of returns and risk-adjusted performance metrics. We present time-series and cross-sectional variation in sub-periods and cultural and/or geographic groups, respectively, suggesting that temporarily not-fully-rational behavior and market immaturity lead to technical predictability and potential profitability.
主题Financial Economics ; International Macroeconomics
关键词Data-snooping bias Foreign exchange Technical analysis Trading rules
URLhttps://cepr.org/publications/dp10018
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/538850
推荐引用方式
GB/T 7714
Mark Taylor,Po-Hsuan Hsu. DP10018 Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-scale, Data-Snooping Robust Analysis of Technical Trading in the Foreign Exchange Market. 2014.
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