预测能力
经济
库存(枪支)
计量经济学
石油价格
财政部
超额收益
统计的
股票市场
滞后
金融经济学
货币经济学
统计
数学
计算机科学
古生物学
计算机网络
哲学
生物
机械工程
背景(考古学)
考古
认识论
马
工程类
历史
标识
DOI:10.1016/j.iref.2022.11.021
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) Ros2 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.
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