Algorithmic Trading and Market Dynamics
Algorithmic Trading (AT) and High-Frequency Trading (HFT) methodologies have become increasingly significant components of the order stream in many capital and commodity markets. The equity markets were the first to embrace AT methods on a large-scale but these practices migrated quickly to futures, interest rate, FX, commodities and any other markets that utilize electronic trading platforms.
In the process, many opinions and concerns have surfaced regarding the impact of AT and HFT practices on market dynamics. Some analysts argue that AT serves to enhance liquidity, which in turn mitigates untoward price volatility. Others have suggested that AT practices may exacerbate price volatility and lead to reduced liquidity, particularly in times of market stress.
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