Technology-investing countries and stock return predictability

被引:8
作者
Narayan, Paresh Kumar [1 ]
Phan, Dinh Hoang Bach [2 ,3 ]
Narayan, Seema [4 ]
机构
[1] Deakin Univ, Deakin Business Sch, Ctr Econ & Financial Econometr, 221 Burwood Highway, Burwood, Vic 3125, Australia
[2] Taylors Univ, Fac Business & Law, Taylors Business Sch, Subang Jaya, Malaysia
[3] Monash Univ, Monash Business Sch, Kuala Lumpur, Malaysia
[4] RMIT Univ, Sch Econ Finance & Mkt, Melbourne, Vic, Australia
关键词
Technology; Profits; Stock returns; Predictability; Portfolio; MARKET RETURNS; UNITED-STATES; PRICES; FORECASTS; GROWTH; SAMPLE; SHOCKS;
D O I
10.1016/j.ememar.2018.04.003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
For 77 technology-investing countries we test whether their stock market returns are predictable. We find that exchange rate returns and U.S. stock excess returns predict stock market returns for most countries in our sample, while crude oil and inflation predict returns of less than 40% of countries. While in out-of-sample tests the evidence of predictability declines, U.S. returns still beat the constant returns model for three-quarters of countries in our sample. A portfolio of all 77 countries offers a mean-variance investor annualized profits of between 5.7% and 8.0%, and profits are maximized when return forecasts are based on U.S. returns.
引用
收藏
页码:159 / 179
页数:21
相关论文
共 22 条
[1]   Does crude oil move stock markets in Europe? A sector investigation [J].
Arouri, Mohamed El Hedi .
ECONOMIC MODELLING, 2011, 28 (04) :1716-1725
[2]   Predicting excess stock returns out of sample: Can anything beat the historical average? [J].
Campbell, John Y. ;
Thompson, Samuel B. .
REVIEW OF FINANCIAL STUDIES, 2008, 21 (04) :1509-1531
[3]   Credit conditions and stock return predictability [J].
Chava, Sudheer ;
Gallmeyer, Michael ;
Park, Heungju .
JOURNAL OF MONETARY ECONOMICS, 2015, 74 :117-132
[4]   Stock return forecasting: Some new evidence [J].
Dinh Hoang Bach Phan ;
Sharma, Susan Sunila ;
Narayan, Paresh Kumar .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2015, 40 :38-51
[5]   BUSINESS CONDITIONS AND EXPECTED RETURNS ON STOCKS AND BONDS [J].
FAMA, EF ;
FRENCH, KR .
JOURNAL OF FINANCIAL ECONOMICS, 1989, 25 (01) :23-49
[6]   Technological Growth and Asset Pricing [J].
Garleanu, Nicolae ;
Panageas, Stavros ;
Yu, Jianfeng .
JOURNAL OF FINANCE, 2012, 67 (04) :1265-1292
[7]   STOCK-MARKET RETURNS AND INFLATION-FORECASTS [J].
GULTEKIN, NB .
JOURNAL OF FINANCE, 1983, 38 (03) :663-673
[8]   Macroeconomic Variables and South African Stock Return Predictability [J].
Gupta, Rangan ;
Modise, Mampho P. .
ECONOMIC MODELLING, 2013, 30 :612-622
[9]   Technological innovations and aggregate risk premiums [J].
Hsu, Po-Hsuan .
JOURNAL OF FINANCIAL ECONOMICS, 2009, 94 (02) :264-279
[10]   Technology prospects and the cross-section of stock returns [J].
Hsu, Po-Hsuan ;
Huang, Dayong .
JOURNAL OF EMPIRICAL FINANCE, 2010, 17 (01) :39-53