A (Sub)penny for Your Thoughts: Tracking Retail Investor Activity in TAQ

被引:1
|
作者
Barber, Brad M. [1 ]
Huang, Xing [2 ]
Jorion, Philippe [3 ]
Odean, Terrance [4 ]
Schwarz, Christopher [3 ]
机构
[1] Univ Calif Davis, Grad Sch Management, Davis, CA USA
[2] Washington Univ, Olin Business Sch, St Louis, MO USA
[3] Univ Calif Irvine, Paul Merage Sch Business, 4293 Pereira Dr, Irvine, CA 92697 USA
[4] Univ Calif Berkeley, Haas Sch Business, Berkeley, CA USA
来源
JOURNAL OF FINANCE | 2024年 / 79卷 / 04期
关键词
D O I
10.1111/jofi.13334
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We placed 85,000 retail trades in six retail brokerage accounts from December 2021 to June 2022 to validate the Boehmer et al. algorithm, which uses subpenny trade prices to identify and sign retail trades. The algorithm identifies 35% of our trades as retail, incorrectly signs 28% of identified trades, and yields uninformative order imbalance measures for 30% of stocks. We modify the algorithm by signing trades using the quoted spread midpoints. The quote midpoint method does not affect identification rates but reduces the signing error rates to 5% and provides informative order imbalance measures for all stocks.
引用
收藏
页码:2403 / 2427
页数:25
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