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

被引:89
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
相关论文
共 72 条
[1]   The cross-section of volatility and expected returns [J].
Ang, A ;
Hodrick, RJ ;
Xing, YH ;
Zhang, XY .
JOURNAL OF FINANCE, 2006, 61 (01) :259-299
[2]  
[Anonymous], THESIS
[3]  
[Anonymous], 2001, Asset Pricing Under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding
[4]  
[Anonymous], 2003, HDB EC FINANCE
[5]   Dispersion in analysts' earnings forecasts and credit rating [J].
Avramov, Doron ;
Chordia, Tarun ;
Jostova, Gergana ;
Philipov, Alexander .
JOURNAL OF FINANCIAL ECONOMICS, 2009, 91 (01) :83-101
[6]   Fama-MacBeth two-pass regressions: Improving risk premia estimates [J].
Bai, Jushan ;
Zhou, Guofu .
FINANCE RESEARCH LETTERS, 2015, 15 :31-40
[7]   Transaction costs and predictability: some utility cost calculations [J].
Balduzzi, P ;
Lynch, AW .
JOURNAL OF FINANCIAL ECONOMICS, 1999, 52 (01) :47-78
[8]   Risks for the long run: A potential resolution of asset pricing puzzles [J].
Bansal, R ;
Yaron, A .
JOURNAL OF FINANCE, 2004, 59 (04) :1481-1509
[9]   A model of investor sentiment [J].
Barberis, N ;
Shleifer, A ;
Vishny, R .
JOURNAL OF FINANCIAL ECONOMICS, 1998, 49 (03) :307-343
[10]   Momentum has its moments [J].
Barroso, Pedro ;
Santa-Clara, Pedro .
JOURNAL OF FINANCIAL ECONOMICS, 2015, 116 (01) :111-120