Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis

被引:80
|
作者
Bekiros, Stelios [1 ,2 ]
Gupta, Rangan [1 ,3 ]
Majumdar, Anandamayee [4 ]
机构
[1] IPAG Business Sch, 184 Blvd St Germain, F-75006 Paris, France
[2] EUI, Dept Econ, Via Piazzuola 43, I-50133 Florence, Italy
[3] Univ Pretoria, Dept Econ, ZA-0002 Pretoria, South Africa
[4] Soochow Univ, Ctr Adv Stat & Econometr, Suzhou, Peoples R China
基金
欧盟地平线“2020”;
关键词
Stock markets; Economic uncertainty; Predictability; Quantile regression; IMPACT; VOLATILITY; SHOCKS;
D O I
10.1016/j.frl.2016.01.012
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Information on economic policy uncertainty does matter in predicting the US equity premium, especially when accounting for structural instabilities and omitted nonlinearities in their relationship, via a quantile predictive regression approach over the monthly period 1900:1-2014:2. Unlike as suggested by a linear mean-based predictive model, the extended quantile regression model with the incorporation of the EPU proxy, enhances significantly the out-of-sample stock return predictability. This is observed especially when the market is neutral, exhibits a slide or mildly upward trending behavior, yet not when the market appears to turn highly bullish. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:291 / 296
页数:6
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