ISSN: 3048-622X

The Impact of Algorithmic Trading on Market Efficiency and Price Discovery: Evidence from Emerging Economies

Abstract

This paper investigates the impact of algorithmic trading (AT) on market efficiency and price discovery in emerging economies. We analyze intraday trading data from a select emerging market stock exchange to assess the effects of AT on various market microstructure measures, including price volatility, liquidity, order imbalance, and price discovery contributions. Our methodology involves a combination of event study analysis and regression models to isolate the effects of AT adoption and intensity. The results indicate that while AT generally improves liquidity and price discovery, it can also contribute to increased volatility, particularly during periods of high market stress. Furthermore, the impact of AT is contingent on the regulatory environment and the level of technological infrastructure in each specific emerging market. We conclude with policy recommendations aimed at maximizing the benefits of AT while mitigating its potential risks.

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How to Cite

Rachna Sharma, (2025-05-02 11:19:14.347). The Impact of Algorithmic Trading on Market Efficiency and Price Discovery: Evidence from Emerging Economies. JANOLI International Journal of Economics and Management Science , Volume MejgkunYNoDF1a6qqjpe, Issue 3.