A trend factor: Any economic gains from using information over investment horizons?

被引:78
|
作者
Han, Yufeng
Zhou, Guofu [1 ,2 ,3 ,4 ]
Zhu, Yingzi [5 ]
机构
[1] Univ N Carolina, Belk Coll Business, Charlotte, NC 28223 USA
[2] Washington Univ, Olin Sch Business, St Louis, MO 63130 USA
[3] China Acad Financial Res, Shanghai 200030, Peoples R China
[4] China Econ & Management Acad, Beijing 100081, Peoples R China
[5] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
Trends; Moving averages; Asymmetric information; Predictability; Momentum; Factor models; EXPECTED STOCK-RETURNS; BETA-PRICING-MODELS; TECHNICAL ANALYSIS; ASSET PRICES; MARKET-EFFICIENCY; TRANSACTION COSTS; TRADING COSTS; CROSS-SECTION; RISK; PREDICTABILITY;
D O I
10.1016/j.jfineco.2016.01.029
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper, we provide a trend factor that captures simultaneously all three stock price trends: the short-, intermediate-, and long-term, by exploiting information in moving average prices of various time lengths whose predictive power is justified by a proposed general equilibrium model. It outperforms substantially the well-known short-term reversal, momentum, and long-term reversal factors, which are based on the three price trends separately, by more than doubling their Sharpe ratios. During the recent financial crisis, the trend factor earns 0.75% per month, while the market loses -2.03% per month, the shortterm reversal factor loses -0.82%, the momentum factor loses -3.88%, and the long-term reversal factor barely gains 0.03%. The performance of the trend factor is robust to alternative formations and to a variety of control variables. From an asset pricing perspective, it also performs well in explaining cross-section stock returns. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:352 / 375
页数:24
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