AXA Investment Managers Starts Leveraging Big Data
New data-driven techniques are being continuously implemented by the asset management community.
New data-driven techniques are being continuously implemented by the asset management community.
Schroders pointed out that a Data Insights team, which was set up in 2015, could become the company’s key differentiator. The team’s goal is to complement fund managers and analysts in their research, find actionable alternative datasets and extract the hidden information.
Randy Bean, CEO and managing partner of NewVantage Partners, published an article in HBR citing his company’s Big Data executive survey.
Robert Maxwell, finINTEL Solutions CEO, recently published a report (attached) highlighting the way datafication is aiding oil & gas analysts.
This asset manager was introduced in our recent article. It is actively applying alternative data analysis techniques within its investment management process.
“Data is going to be like oil. The importance of having it is going to be the lubricant that makes everything else move.”
This global asset manager is a leader in the field of integrating alternative data into active investing.
According to the study conducted by McKinsey Global Institute, the US is going to face a shortage of around 190,000 data scientists and 1.5 million managers and analysts who can work with big data by 2018.
Asset managers are always looking for new sources of alpha. The data revolution is impacting many different industries and it is finally here to change the investment industry as well.
Data is all around us, and is growing in volume every day. The amount of data created every 2 days is as much as was created from the beginning of time until 2003. If we were to put 1 year’s worth of data on DVDs, the stack would go from Earth to the moon and back.
The rapid uptake of alternative data research by both fundamental and quantitative institutional investors is shifting the investment landscape and creating innovative sources of alpha generation.
In October 2014, Gene Ekster delivered a talk to the NY Open Statistical Programming Group explaining how unstructured and alternative data could be used to generate returns.