The role of the past long-run oil price changes in stock market

被引:0
|
作者
Wu, Shue-Jen [1 ]
机构
[1] Natl Chi Nan Univ, Dept Int Business Studies, 1 Univ Rd, Puli 545, Nantou, Taiwan
关键词
Oil price changes; Predictability Stock returns; In-sample; Out-of-sample; International data; SUPPLY SHOCKS; RETURNS; RISK; PREDICTABILITY; UNDERREACTION; DEMAND; NONLINEARITIES; OVERREACTION; VOLATILITY; VARIABLES;
D O I
10.1016/j.iref.2022.11.021
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper examines the ability of the past long-run changes in oil price to predict the stock returns in the U.S. market. We find this long-lag model performs much better than the one-lag model. The past long-run changes in oil price contain useful information about future real stock returns and excess returns over a Treasury bill rate. This variable alone can capture more than 1% variations of next horizon (month) excess returns, and the predictive power are increasingly strong for long-horizon stock return. These findings are robust when considering other popular predictors into the model, these results are also maintained when considering various subsamples. For out-of-sample examination, the results of McCraken's (2007)..2.... and Clark and West's (2007) MSPE-adjusted statistic explore that this variable contains useful information of future stock returns. More interestingly, the past long-run oil price changes also perform strong predictive power on excess returns for non-US countries.
引用
收藏
页码:274 / 291
页数:18
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