Can commodity returns forecast Canadian sector stock returns

被引:20
|
作者
Jordan, Steven J. [1 ]
Vivian, Andrew [2 ]
Wohar, Mark E. [2 ,3 ]
机构
[1] Econometr Solut, London, England
[2] Univ Loughborough, Sch Business & Econ, Loughborough, Leics, England
[3] Univ Nebraska Omaha, Dept Econ, Omaha, NE USA
关键词
Return forecasting; Commodities; Transaction costs; Forecast combinations; Canada; COMBINATION FORECASTS; OIL; SAMPLE; TESTS; MISSPECIFICATION; PERFORMANCE; UNCERTAINTY; ACCURACY; MARKETS; GROWTH;
D O I
10.1016/j.iref.2015.08.013
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using a wide range of commodities, we provide some evidence that commodity returns can forecast eight Canadian sector equity returns out-of-sample. In particular, there is some evidence that the recently developed bagging method can improve forecast accuracy relative to the benchmark and performs well compared to forecast combinations. From an economic gains perspective, forecasting sector returns provides certainty equivalent gains in a sector rotation strategy. We also model the impact of transaction costs upon economic value and find that gains can be generated when transaction costs are low. (c) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:172 / 188
页数:17
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