Research on the impact of algorithmic trading on market volatility

The rapid growing of algorithmic trading (AT) has been playing an increasingly important role in shaping financial market in recent years. Although many scholars have studied the impact of AT on market volatility, the evidence they provided is inconsistent. Whether and how AT influence on market volatility is still not clear, especially for emerging markets. In this paper, using level 2 quotations from Chinese market, we answered the question. By introducing multiple mediator model, we found that AT can significantly reduce market volatility. In addition to the influence of AT itself, the sentiment effect accounts for approximate 1/4 of the influence, and a very small portion, about 4%, of the influence can be explained by herd effect. Besides, it also illustrated that the influences of AT are more sensitive in main board, rather than in GEM board. Nevertheless, the sentiment effect has been playing plays more important role in the influence of AT in GEM board. These findings provide new insights into previous inconsistent evidence regarding the influence of AT on market volatility. They also have important implications for investment strategies and market regulations.

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Publication Details

Journal
Scientific Reports
Published
2025-08-17
DOI
https://doi.org/10.1038/s41598-025-15020-w
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the impact of algorithmic trading on market volatility

Haowei Sha, Jia Luo, Yang Yang, Dan Yang et al.
Scientific Reports
Financial Markets and Investment Strategies
article

Research on the impact of algorithmic trading on market volatility

Haowei Sha, Jia Luo, Yang Yang, Dan Yang, Zhong Lin Wang
article en

Abstract

The rapid growing of algorithmic trading (AT) has been playing an increasingly important role in shaping financial market in recent years. Although many scholars have studied the impact of AT on market volatility, the evidence they provided is inconsistent. Whether and how AT influence on market volatility is still not clear, especially for emerging markets. In this paper, using level 2 quotations from Chinese market, we answered the question. By introducing multiple mediator model, we found that AT can significantly reduce market volatility. In addition to the influence of AT itself, the sentiment effect accounts for approximate 1/4 of the influence, and a very small portion, about 4%, of the influence can be explained by herd effect. Besides, it also illustrated that the influences of AT are more sensitive in main board, rather than in GEM board. Nevertheless, the sentiment effect has been playing plays more important role in the influence of AT in GEM board. These findings provide new insights into previous inconsistent evidence regarding the influence of AT on market volatility. They also have important implications for investment strategies and market regulations.

Scientific ReportsVol. 15(1)
Southwestern University of Finance and Economics (CN), Leshan Normal University (CN), Chengdu Sport University (CN), Chengdu University (CN)
Partnerships for the goals
Openalex Percentile: Top 73%
Financial Markets and Investment Strategies
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