Why is equity order flow so persistent?

被引:44
|
作者
Toth, Bence [1 ,2 ]
Palit, Imon [3 ]
Lillo, Fabrizio [2 ,4 ,5 ]
Farmer, J. Doyne [2 ,6 ,7 ]
机构
[1] Capital Fund Management, F-75007 Paris, France
[2] Santa Fe Inst, Santa Fe, NM 87501 USA
[3] Monash Univ, Dept Banking & Finance, Melbourne, Vic 3004, Australia
[4] Univ Palermo, Dipartimento Fis, Palermo, Italy
[5] Scuola Normale Super Pisa, I-56126 Pisa, Italy
[6] Oxford Martin Sch, Inst New Econ Thinking, Oxford OX1 3LB, England
[7] Math Inst, Oxford OX1 3LB, England
来源
基金
美国国家科学基金会;
关键词
Market microstructure; Order flow; Herding; Order splitting; Price impact; Behavioral finance; LONG-MEMORY; MARKET-EFFICIENCY; HERD BEHAVIOR; LIQUIDITY; IMPACT;
D O I
10.1016/j.jedc.2014.10.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
Order flow in equity markets is remarkably persistent in the sense that order signs (to buy or sell) are positively autocorrelated out to time lags of tens of thousands of orders, corresponding to many days. Two possible explanations are herding, corresponding to positive correlation in the behavior of different investors, or order splitting, corresponding to positive autocorrelation in the behavior of single investors. We investigate this using order flow data from the London Stock Exchange for which we have membership identifiers. By formulating models for herding and order splitting, as well as models for brokerage choice, we are able to overcome the distortion introduced by brokerage. On timescales of less than a few hours the persistence of order flow is overwhelmingly due to splitting rather than herding. We also study the properties of brokerage order flow and show that it is remarkably consistent both cross-sectionally and longitudinally. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:218 / 239
页数:22
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