Optimization of technical trading strategies and the profitability in security markets

被引:68
作者
Gencay, R [1 ]
机构
[1] Univ Windsor, Dept Econ, Windsor, ON N9B 3P4, Canada
关键词
technical trading; neural network models; security markets;
D O I
10.1016/S0165-1765(98)00051-2
中图分类号
F [经济];
学科分类号
02 ;
摘要
The ultimate goal of any testing strategy is to measure profitability. This paper measures the profitability of simple technical trading rules based on nonparametric models which maximize the total returns of an investment strategy. The profitability of an investment strategy is evaluated against a simple buy-and-hold strategy on the security and its distance from the ideal net profit. The predictive performance is evaluated by the market timing tests of Henriksson-Merton and Pesaran-Timmermann to measure whether forecasts have economic value in practice. The results of an illustrative example indicate that nonparametric models with technical strategies provide significant profits when tested against buy-and-hold strategies. In addition, the sign predictions of these models are statistically significant. (C) 1998 Elsevier Science S.A.
引用
收藏
页码:249 / 254
页数:6
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