Technology shocks and stock returns: A long-term perspective

被引:12
|
作者
Sharma, Susan Sunila [1 ]
Narayan, Paresh Kumar [2 ,3 ]
机构
[1] Deakin Univ, Fac Business & Law, Deakin Business Sch, Melbourne, Australia
[2] Monash Univ, Clayton, Vic, Australia
[3] Monash Univ, Fac Business & Econ, Monash Business Sch, Wellington Rd, Clayton, Vic 3800, Australia
关键词
Technology; Patents; Excessreturns; Predictability; FINANCIAL DEVELOPMENT; GROWTH; INVESTMENT; TIME; RISK; INNOVATION; SENTIMENT;
D O I
10.1016/j.jempfin.2022.06.002
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using patent data dating as far back as 1870, we compute local and global technology shocks. United States data reveal strong evidence of in-sample predictability particularly at longer horizons and during economic expansions, principally driven by global technology factors. We also discover strong evidence of time-varying predictability for the United States. We find that the global technology shock is a stronger time-varying predictor of stock returns, predicting returns in as many as 41% of sub-samples of data. Using OECD data for 11 countries, we find evidence of time-varying return predictability for seven countries; however, in-sample and long horizon predictability are, in general, weak.
引用
收藏
页码:67 / 83
页数:17
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