Be Wary of Black-Box Trading Algorithms

被引：2
|
作者：
Smith, Gary [1 ]
机构：
[1] Pomona Coll, Dept Econ, Claremont, CA 91711 USA
来源：
JOURNAL OF INVESTING | 2019年 / 28卷 / 05期
关键词：
KNOWLEDGE DISCOVERY;
D O I：
10.3905/joi.2019.1.090
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
Black-box algorithms now account for nearly a third of all US stock trades. It is a mistake to think that these algorithms possess super-human intelligence. In reality, computers do not have the common sense and wisdom that humans have accumulated by living. Trading algorithms are particularly dangerous because they are so efficient at discovering statistical patterns-but so utterly useless in judging whether the discovered patterns are meaningful.
引用
收藏
页码：7 / 15
页数：9
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