Article

Open Access

|

Peer-reviewed

How high-frequency trading affects market stability and small-investor welfare

Anuj Kumar Shah

DIP: 18.02.013/20251003

DOI: 10.25215/2455/1003013

Received: June 02, 2025; Revision Received: July 05, 2025; Accepted: July 06, 2025

Abstract

High-Frequency Trading (HFT) has transformed modern financial markets through the use of advanced algorithms and ultra-fast data processing. This study explores the impact of HFT on market stability and small-investor welfare by critically analyzing empirical evidence and theoretical models. While proponents argue that HFT enhances liquidity and price efficiency, critics highlight its potential to exacerbate market volatility and create an uneven playing field for retail investors. The research reveals that although HFT can improve market functioning under normal conditions, it may amplify systemic risks during periods of stress. Additionally, the technological and informational advantages held by HFT firms can marginalize small investors, affecting their confidence and participation in the market. This paper underscores the need for regulatory frameworks that ensure fair competition, mitigate flash crashes, and protect market integrity without stifling innovation.

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Shah A @ sruthi@paradoxpublications.com

Related Content
How high-frequency trading affects market stability and small-investor welfare

Total Download: 4 | Total View: 370

PlumX Matrix

Plum Analytics uses research metrics to help answer the questions and tell the stories about research. Research metrics that immediately measure awareness and interest give us new ways to uncover and tell the stories of research.

Dimensions Matrix

Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. (digital science)

Article Overview

ISSN 2455-670X

DIP: 18.02.013/20251003

DOI: 10.25215/2455/1003013

Published in

Volume 10, Issue 3, July – September, 2025

  • 4Downloads
  • 0Citations
  • 370Views
  • 0Likes
How to Cite
Print
Share
[DISPLAY_ULTIMATE_SOCIAL_ICONS]
Make a Submission