Nonlinearity and intraday efficiency tests on energy futures markets

被引:57
|
作者
Wang, Tao [2 ,3 ]
Yang, Jian [1 ]
机构
[1] Univ Colorado Denver, Sch Business, Denver, CO 80217 USA
[2] CUNY, Queens Coll, Dept Econ, Flushing, NY 11367 USA
[3] CUNY, Grad Ctr, Flushing, NY 11367 USA
关键词
Energy futures; Intraday; Nonlinear models; Martingale; Technical trading rule; FOREIGN-EXCHANGE RATES; NEURAL-NETWORKS; TIME-SERIES; RANDOM-WALK; DYNAMICS; MODELS; OIL; DERIVATIVES; PREDICTION; PRICES;
D O I
10.1016/j.eneco.2009.08.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
Using high frequency data, this paper first time comprehensively examines the intraday efficiency of four major energy (crude oil, heating oil, gasoline, natural gas) futures markets. In contrast to earlier studies which focus on in-sample evidence and assume linearity, the paper employs various nonlinear models and several model evaluation criteria to examine market efficiency in an out-of-sample forecasting context. Overall, there is evidence for intraday market inefficiency of two of the four energy future markets (heating oil and natural gas), which exists particularly during the bull market condition but not during the bear market condition. The evidence is also robust against the data-snooping bias and the model overfitting problem, and its economic significance can be very substantial. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:496 / 503
页数:8
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