Algorithmic trading and mini flash crashes: Evidence from Austria

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Roland Mestel , Viktoria Steffen , Erik Theissen
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引用次数: 0

Abstract

We use stock-day level data on the market share of algorithmic trading to analyze whether algorithmic trading affects the frequency of mini flash crashes in the Austrian stock market. We use an instrumental variables approach and the Petrin and Train (2010) control function approach to address endogeneity concerns. We find no evidence that algorithmic trading significantly affects the probability of the occurrence of mini flash crashes.

算法交易与小型闪电崩盘:来自奥地利的证据
我们使用算法交易市场份额的股票日水平数据来分析算法交易是否会影响奥地利股市小型闪崩的频率。我们使用工具变量法以及 Petrin 和 Train(2010 年)的控制函数法来解决内生性问题。我们没有发现证据表明算法交易会显著影响迷你闪崩的发生概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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