Greatly reduces time, human error
By WRANGLED INSIGHTS STAFF
Buy, sell or hold?
It’s those three words that help determine the success of both analysts and their clients. Needless to say, analysts need real-time equity data in order to make accurate recommendations.
But real-time data isn’t always so easy to come by. Technology has caused there to be an overabundance of data. The vast amount and disparate formats of financial information such as documents, public records, market indices and more can be stifling, leading to misinformation, miscalculations and missed opportunities. Traditional data wrangling is tremendously error prone and time consuming.
And because technology brought about this data chaos, it’s up to technology to restore order.
AI integration to the rescue
The ongoing evolution of artificial intelligence is making its mark on so many industries, and equity research is poised to be one of those to greatly benefit from its advances. AI is able to ingest data from varied sources in real time, organize and clean it, vastly reducing human error and processing it in minutes rather than weeks. And importantly, AI adapts to changing data sources and market conditions…again, in real time.
Dynamic, configurable financial forecasting models
AI engines can build continually adaptive and configurable financial models that allow analysts to adjust parameters and assumptions to mirror their particular strategies. This enhances precision and ensures flexibility in forecasting multiple market scenarios, giving equity researchers an unparalleled decision-making advantage.
Generative AI performance reports eliminates human bias
Generative AI is a real equity research game changer. Advanced algorithms can analyze magnitudes of data and independently generate comprehensive performance reports. In addition to minimizing human labor, generative AI reports provide more-objective and data-driven insights to better help investors make decisions. These reports can easily include buy/sell/hold recommendations.
The future of AI in equity research
This is just the beginning. As it continues to evolve, AI will further empower analysts to focus on strategic tasks, while AI takes charge of the data wrangling and predictive modeling aspects of equity research. AI-powered data analysis and generative AI reporting is the key to more-accurate and timely investment decisions.
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