ALGORITHMIC TRADING: CHALLENGES AND OPPORTUNITIES

Abstract

Algorithmic trading has become a dominant force in modern financial markets, with the potential to increase liquidity, improve market efficiency, and reduce transaction costs. However, it also introduces significant challenges, including concerns about market volatility, regulatory oversight, and the potential for systemic risk. This paper investigates the role of algorithmic trading in global financial markets, with a specific focus on Pakistan. Through empirical analysis using data from Pakistan's stock exchange from 2010 to 2024, the study evaluates the impact of algorithmic trading on market dynamics, liquidity, and volatility. The findings suggest that while algorithmic trading has contributed to greater liquidity and tighter bid-ask spreads, it has also been associated with increased short-term volatility and flash crashes. The paper concludes by discussing the challenges faced by regulators and market participants in managing algorithmic trading, and proposes policy recommendations to ensure its responsible use.