Oil price increases and the predictability of equity premium

被引:108
|
作者
Wang, Yudong [1 ]
Pan, Zhiyuan [2 ,3 ]
Liu, Li [4 ]
Wu, Chongfeng [5 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Xiaolingwei 200, Nanjing 210094, Jiangsu, Peoples R China
[2] Southwestern Univ Finance & Econ, Inst Chinese Financial Studies, Liutai Ave 555, Chengdu 611730, Sichuan, Peoples R China
[3] Collaborat Innovat Ctr Financial Secur, Liutai Ave 555, Chengdu 611730, Sichuan, Peoples R China
[4] Nanjing Audit Univ, Sch Finance, West Yushan Rd 86, Nanjing 217815, Jiangsu, Peoples R China
[5] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai, Peoples R China
基金
美国国家科学基金会;
关键词
Oil price increases; Stock returns; Out-of-sample predictability; Forecast combination; Portfolio; STOCK RETURNS; COMBINATION FORECASTS; MONETARY-POLICY; EXCHANGE-RATES; SHOCKS; MARKET; MACROECONOMY; RISK; VOLATILITY; RESPONSES;
D O I
10.1016/j.jbankfin.2019.03.009
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We show that increases in oil prices, rather than changes in oil prices, can predict stock returns. The revealed stock return predictability is both statistically and economically significant. The forecasting performance of oil price increases is not affected by changes in the choice of subsample, a considerable advantage over other popular predictors. We obtain greater forecasting gains by adding oil price increases as an additional predictor to univariate macro models. This forecasting improvement is also present when using multivariate information methods. The success of oil-macro models in forecasting stock returns is robust to a large battery of robustness tests. Oil price increases predict stock returns by affecting future industrial production and discount rates. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:43 / 58
页数:16
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