Identifying informed traders in futures markets

被引:27
作者
Fishe, Raymond P. H. [1 ,2 ]
Smith, Aaron D. [3 ,4 ]
机构
[1] Univ Richmond, CFTC, Richmond, VA 23173 USA
[2] Univ Richmond, Dept Finance, Robins Sch Business, Richmond, VA 23173 USA
[3] Univ Calif Davis, CFTC, Davis, CA 95616 USA
[4] Univ Calif Davis, Dept Agr & Resource Econ, Davis, CA 95616 USA
关键词
Commodities; False discovery rate; Forecasting ability; Informed traders; MUTUAL FUND PERFORMANCE; INVESTMENT PERFORMANCE; ORDER FLOW; INFORMATION; DISCOVERY; LIQUIDITY; INVESTORS; RETURNS; IMPACT; NEWS;
D O I
10.1016/j.finmar.2011.08.006
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We use daily positions of futures market participants to identify informed traders. These data contain 8,921 unique traders. We identify between 94 and 230 traders as overnight informed and 91 as intraday informed with little overlap. Floor brokers/traders are over-represented in the overnight informed group. The intraday informed group is dominated by managed money traders/hedge funds and swap dealers, with commercial hedgers under-represented. We find that characteristics such as experience, position size, trading activity, and type of positions held offer significant predictive power for who is informed. An analysis of daily trader profits confirms that we select highly profitable traders. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:329 / 359
页数:31
相关论文
共 50 条
  • [41] The market quality of commodity futures markets
    Liu, Qingfu
    Luo, Qian
    Tse, Yiuman
    Xie, Yuchi
    JOURNAL OF FUTURES MARKETS, 2020, 40 (11) : 1751 - 1766
  • [42] Does International Order Flow Contribute to Price Discovery in Futures Markets?
    Frino, Alex
    Webb, Robert I.
    Zheng, Hui
    JOURNAL OF FUTURES MARKETS, 2012, 32 (12) : 1124 - 1143
  • [43] A Tale of Two Premiums: The Role of Hedgers and Speculators in Commodity Futures Markets
    Kang, Wenjin
    Rouwenhorst, K. Geert
    Tang, Ke
    JOURNAL OF FINANCE, 2020, 75 (01) : 377 - 417
  • [44] The cross-market dynamic effects of liquidity on volatility: evidence from Chinese stock index and futures markets
    Qiao, Gaoxiu
    Teng, Yuxin
    Xu, Yanyan
    Wang, Lu
    APPLIED ECONOMICS, 2020, 52 (01) : 85 - 99
  • [45] Clustering of intraday order-sizes by uninformed versus informed traders
    Garvey, Ryan
    Wu, Fei
    JOURNAL OF BANKING & FINANCE, 2014, 41 : 222 - 235
  • [46] Naive traders and mispricing in prediction markets
    Serrano-Padial, Ricardo
    JOURNAL OF ECONOMIC THEORY, 2012, 147 (05) : 1882 - 1912
  • [47] Noise traders: a new approach to understand the phantom of stock markets
    Baklaci, H. F.
    Olgun, O.
    Can, E.
    APPLIED ECONOMICS LETTERS, 2011, 18 (10-12) : 1035 - 1041
  • [48] COVID lockdown, Robinhood traders, and liquidity in stock and option markets
    Clancey-Shang, Danjue
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 90
  • [49] Informed trading in government bond markets
    Czech, Robert
    Huang, Shiyang
    Lou, Dong
    Wang, Tianyu
    JOURNAL OF FINANCIAL ECONOMICS, 2021, 142 (03) : 1253 - 1274
  • [50] Signal or noise? Uncertainty and learning about whether other traders are informed
    Banerjee, Snehal
    Green, Brett
    JOURNAL OF FINANCIAL ECONOMICS, 2015, 117 (02) : 398 - 423