Quants searching for ESG signals have reached very different conclusions. Mostly they blame the data.
Buy-side firms in search of alternative insights to drive returns are turning to sentiment analysis to fine-tune their strategies.
“The errors made by humans and robots are different,” says Leda Braga
The vendor is also considering including deep learning capabilities to the platform.
S&P Global Market Intelligence will offer clients new alt datasets from in-house and third parties to be used in conjunction with increased analytics offerings.
Sara Dillion joins the podcast to discuss the private markets and how firms are incorporating information around this space.
The vendor believes its planned dashboard of synthetic consumer spend data will help a wider audience on the buy side exploit predictive company revenue data.
After setting up a dedicated market data function last year, the broker plans to enlist more vendors to increase distribution of its data,
The combination of these two revolutions will see data volumes skyrocket. As a result, Anthony Malakian says data providers will be able to find new datasets to package for clients, while investment firms can create unique investment insights.
While progress was made in the desktop application interoperability space in the last year, Anthony Malakian says 2020 is likely to see some major developments that will help to push this movement forward.
At Waters USA, the chief market intelligence officer of hedge fund Point72 discussed how tech and data are disrupting traditional ideas about investing.
Wei-Shen Wong wonders whether asset managers really understand what they mean when they talk about alternative data.
To gain advantage from the growing data deluge, analytics—integrated with a firm's data workflow—are becoming ever-more crucial to buy-side investors.
Nasdaq's alt data provider hopes its new ECI dataset will offer exclusive advantages to investors, analysts, and companies themselves.
UBS Asset Management’s CDO & Element22's founder look at some of the challenges facing the alt data space.
The startup will use a new investment round to fund the addition of new datasets and staff as it brings its platform to market.
The vendor is also experimenting with machine learning to help the buy-side sift through the vast amount of unstructured alternatives investment data.
Investment professionals can use Discover to find the right dataset and provider for their needs.
Alternative data is maturing. But with its growth spurt comes growing pains—just ask Thasos Group. And though the market is still in its adolescence, it’s starting to face some grownup challenges.
Led by Bryan Cross (pictured), the asset manager's QED team aims to blend quant and fundamental to find unique solutions to new problems.
Adopting an optimal and sustainable business model, as well as staying on the cutting edge of analytics, are two hurdles still to be overcome by alternative data providers looking to keep their heads above water.