共 48 条
Evaluating the predictive power of intraday technical trading in China's crude oil market
被引:1
作者:
Jin, Xiaoye
[1
]
机构:
[1] East China Univ Polit Sci & Law, Int Sch Law & Finance, Room 201,Ming Shi Bldg,555 Long Yuan Rd, Shanghai 201620, Peoples R China
关键词:
data snooping bias;
INE crude oil;
intraday predictability;
technical analysis;
transaction costs;
FALSE DISCOVERIES;
PERFORMANCE;
PROFITABILITY;
FREQUENCY;
PRICES;
RULES;
RATES;
RISK;
GAIN;
D O I:
10.1002/for.2873
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper evaluates the predictive power of intraday technical trading in China's crude oil market. Even considering different subsample periods, data frequencies and frequencies of rebalancing portfolio of trading rules, an investor is unlikely to select trading rules with persistent out-of-sample performance in advance while taking into account data snooping bias and transaction costs. This indicates that the predictive power of intraday technical trading in China's crude oil market is illusory. Overall, our results seriously call into question the predictive power of technical trading in crude oil markets has been gradually shifting from daily data to intraday data.
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页码:1416 / 1432
页数:17
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