Does high frequency algorithmic trading matter for non-AT investors?

被引:16
|
作者
Kelejian, Harry H. [1 ]
Mukerji, Purba [2 ]
机构
[1] Univ Maryland, College Pk, MD 20742 USA
[2] Connecticut Coll, New London, CT 06320 USA
关键词
Algorithmic trading; Non-algorithmic investors; Volatility; Spatial econometrics; MARKET;
D O I
10.1016/j.ribaf.2015.10.014
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The extant literature has typically measured the impact of high frequency algorithmic trading (HFT) on short term outcomes, in seconds or minutes. We focus on outcomes of concern for longer term non-algorithm investors. We find in some cases HFT increases volatility arising from news relating to fundamentals. Furthermore HFT is associated with the transmission of that volatility across industries, and that transmission is based on short term correlations. Finally, we find that the period since the introduction of algorithmic trading (AT) has seen increases in both the variances and covariances of return volatility in most industries. However increases in the variances has not been uniform in that it has fallen sharply in a few industries. The magnitudes are such that, overall, AT has coincided with reduced return volatility variance. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:78 / 92
页数:15
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