Can stale oil price news predict stock returns?

被引:69
|
作者
Narayan, Paresh Kumar [1 ]
机构
[1] Deakin Univ, Deakin Business Sch, Ctr Financial Econometr, 221 Burwood Highway, Burwood, Vic 3125, Australia
关键词
Oil price news; Stock returns; Predictive regression; Time-series; TIME-SERIES; SENTIMENT; DIVIDENDS; SAMPLE; IMPACT; MEDIA; RATIO; RISK;
D O I
10.1016/j.eneco.2019.07.022
中图分类号
F [经济];
学科分类号
02 ;
摘要
We hand-collect time-series data on positive and negative oil price news from 100 news sources from around the world, covering 59,129 news articles on oil prices. Using time-series predictive regression models estimated for 45 countries, we show that: (a) positive and negative news predict stock returns for at most 12 countries for which the oil price does not predict returns; and (b) together the three oil price measures predict returns for at most 23/45 countries. Therefore, oil price news turns out to be more powerful in predicting returns in a horserace with oil price. We show that the ability of oil to predict returns is through the discount rate and cash flow channels. Our results survive a battery of robustness tests. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:430 / 444
页数:15
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