The rise of institutional investors has led to a more concentrated equity market, with a small number of investment managers holding a substantial amount of public shares. These managers tout their ability to navigate the ever-changing market landscape. However, concerns arise about market stability, competition, and accessibility as power consolidates among these select few.
While active fund managers are often perceived as having superior investing abilities, their track record of outperforming benchmarks has waned despite increasing interest in various asset classes. This decline in performance can be attributed to the evolving landscape where information is now more transparent and accessible. As a result, the traditional assumptions about the prowess of active managers have diminished over time. It’s evident that the fate of the public can no longer be solely determined by the actions of a select few.
At Parabellum, we harness disruptive technologies like Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to adapt to the evolving needs of investors. Our automated alpha algorithm represents a unique methodology tailored to diverse securities and asset classes. Each trade execution is underpinned by a comprehensive analysis of multiple pertinent factors influencing financial instruments, meticulously considering the nuances of individual client portfolios.
We do not just rely on a few data sources, actionable insights drawn from analysis of a wide range of relevant data are responsible for successful trade execution.
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