Equity premium prediction: Are economic and technical indicators unstable?

被引:24
作者
Baetje, Fabian [1 ]
Menkhoff, Lukas [2 ,3 ]
机构
[1] Leibniz Univ Hannover, Dept Econ, Konigsworther Pl 1, D-30167 Hannover, Germany
[2] German Inst Econ Res, DIW Berlin, D-10108 Berlin, Germany
[3] Humboldt Univ, Econ, Berlin, Germany
关键词
Equity premium predictability; Economic indicators; Technical indicators; Break tests; EXPECTED STOCK RETURNS; STRUCTURAL-CHANGE; CHANGE-POINT; MODELS; PREDICTABILITY; TESTS; VOLATILITY; BREAKS; DIVIDENDS; SAMPLE;
D O I
10.1016/j.ijforecast.2016.02.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
We show that technical indicators deliver stable economic value in predicting the US equity premium over the out-of-sample period from 1966 to 2014. The results tentatively improve over time, and beat alternatives over a large continuum of sub-periods. In contrast, economic indicators work well only until the 1970s, but lose predictive power thereafter, even when considering the last crisis. Translating the predictive power of technical indicators into a standard investment strategy delivers an annualized average Sharpe ratio of 0.55 p.a. (after transaction costs) for investors who entered the market at any point in time. (C) 2016 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1193 / 1207
页数:15
相关论文
共 52 条
[1]   Modeling and forecasting realized volatility [J].
Andersen, TG ;
Bollerslev, T ;
Diebold, FX ;
Labys, P .
ECONOMETRICA, 2003, 71 (02) :579-625
[2]   TESTS FOR PARAMETER INSTABILITY AND STRUCTURAL-CHANGE WITH UNKNOWN CHANGE-POINT [J].
ANDREWS, DWK .
ECONOMETRICA, 1993, 61 (04) :821-856
[3]   Stock return predictability: Is it there? [J].
Ang, Andrew ;
Bekaert, Geert .
REVIEW OF FINANCIAL STUDIES, 2007, 20 (03) :651-707
[4]  
[Anonymous], 1963, GRANVILLES NEW KEY S
[6]  
Bai J., 2006, ECONOMETRIC THEORY P
[7]   Estimating and testing linear models with multiple structural changes [J].
Bai, JS ;
Perron, P .
ECONOMETRICA, 1998, 66 (01) :47-78
[8]   Implementing statistical criteria to select return forecasting models: What do we learn? [J].
Bossaerts, P ;
Hillion, P .
REVIEW OF FINANCIAL STUDIES, 1999, 12 (02) :405-428
[9]   SIMPLE TECHNICAL TRADING RULES AND THE STOCHASTIC PROPERTIES OF STOCK RETURNS [J].
BROCK, W ;
LAKONISHOK, J ;
LEBARON, B .
JOURNAL OF FINANCE, 1992, 47 (05) :1731-1764
[10]   The Dow Theory: William Peter Hamilton's track record reconsidered [J].
Brown, SJ ;
Goetzmann, WN ;
Kumar, A .
JOURNAL OF FINANCE, 1998, 53 (04) :1311-1333