Investor heterogeneity and momentum-based trading strategies in China

被引:23
|
作者
Gao, Ya [1 ]
Han, Xing [2 ]
Li, Youwei [3 ]
Xiong, Xiong [4 ,5 ]
机构
[1] Dalian Univ Technol, Sch Econ & Management, Dalian 116024, Peoples R China
[2] Univ Auckland, Business Sch, 12 Grafton Rd, Auckland 1010, New Zealand
[3] Univ Hull, Hull Univ Business Sch, Kingston Upon Hull HU6 7RX, N Humberside, England
[4] Tianjin Univ, Coll Management & Econ, 92 Weijin Rd, Tianjin 300072, Peoples R China
[5] China Ctr Social Comp & Analyt, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Investor heterogeneity; Intraday return; Overnight return; Momentum; CROSS-SECTION; RETURNS; SIZE;
D O I
10.1016/j.irfa.2020.101654
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The conventional momentum strategy performs poorly overall in China, because stock prices behave very differently when markets are open for trading versus when they are closed. Stocks that are past intraday (overnight) winners persistently outperform those that are past intraday (overnight) losers in the subsequent intraday (overnight) periods. However, the same intraday- (overnight-) momentum strategy suffers dramatically in the subsequent overnight (intraday) periods. Further analysis shows that past intraday (overnight) winners tend to be more (less) speculative stocks which are highly demanded during the day (night). Overall, our results are consistent with investor heterogeneity, and this persistent tug of war virtually eliminates the effectiveness of investors pursuing the momentum-based trading strategy in China.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Comparison of Trading Strategies: Dual Momentum vs Pairs Trading
    Singh, Japjeet
    Thulasiram, Ruppa K.
    Thavaneswaran, Aerambamoorthy
    Paseka, Alex
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 1363 - 1369
  • [32] A Momentum-Based Collision Detection Algorithm for Industrial Robots
    He, Sumei
    Ye, Jinhua
    Li, Zhijing
    Li, Shiyi
    Wu, Guokui
    Wu, Haibin
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2015, : 1253 - 1259
  • [33] Force prediction by PIV imaging: A momentum-based approach
    Unal, MF
    Lin, JC
    Rockwell, D
    JOURNAL OF FLUIDS AND STRUCTURES, 1997, 11 (08) : 965 - 971
  • [34] European momentum strategies, information diffusion, and investor conservatism
    Doukas, JA
    McKnight, PJ
    EUROPEAN FINANCIAL MANAGEMENT, 2005, 11 (03) : 313 - 338
  • [35] Momentum-based approximation of incompressible multiphase fluid flows
    Cappanera, Loic
    Guermond, Jean-Luc
    Herreman, Wietze
    Nore, Caroline
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2018, 86 (08) : 541 - 563
  • [36] Virtual orbital angular momentum-based phase clock
    Zhang, Lei
    Yu, Benli
    OPTICA, 2024, 11 (10): : 1468 - 1477
  • [37] MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
    Jiang, Zhanhong
    Lee, Xian Yeow
    Tan, Sin Yong
    Tan, Kai Liang
    Balu, Aditya
    Lee, Young M.
    Hegde, Chinmay
    Sarkar, Soumik
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 9377 - 9385
  • [38] The free retraction of natural rubber: A momentum-based model
    Tunnicliffe, Lewis B.
    Thomas, Alan G.
    Busfield, James J. C.
    POLYMER TESTING, 2015, 47 : 36 - 41
  • [39] On the Global Optimum Convergence of Momentum-based Policy Gradient
    Ding, Yuhao
    Zhang, Junzi
    Lavaei, Javad
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [40] Transaction Costs, Trading Volume and Momentum Strategies
    Li, Xiafei
    Brooks, Chris
    Miffre, Joelle
    JOURNAL OF TRADING, 2010, 5 (01): : 66 - 81