Buy-side firms in search of alternative insights to drive returns are turning to sentiment analysis to fine-tune their strategies.
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.
The investment bank’s deputy chief digital officer says machines cannot predict markets, as the bank consolidates trading operations and builds an AI trading platform for fixed income and FX.
The new business unit will unify Liquidnet's last three acquisitions: Prattle, RSRCHXchange, and OTAS.
As passive strategies and fee compression cut into active returns, buy-side firms are turning to internally generated data.
The investment manager's move to tackle unstructured data is starting with sell-side analyst reports.
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
Increasingly specialized systems call for increasingly specialized skill sets; talent acquisition and retention remain problematic.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
The exchange and data provider says purchase of market sentiment index from BAML is a natural next step.
The administrator is looking at how artificial intelligence can be used to extract online sentiment and create customized alternative data services to attract clients.
At Risk Live, executives from Goldman Sachs AM, Societe Generale and Morgan Stanley talked about the benefits and concerns for using alt data.
Machine learning can tell stories from large datasets to drive alpha, say quants.
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
Buy-siders have limited their usage of deep learning techniques due to haziness over their inner workings.
As nations and markets become increasingly interconnected, geopolitical risk has become top of mind for portfolio managers.
State Street is teaming up with Harvard professor George Serafeim to create solutions that help institutional investors find ESG materiality.
UBS Asset Management’s data chief sets out his recommendations for using alternative data in the investment process.
Development of machine learning and natural-language processing is now turning to languages other than English to keep a better eye on traders and the market. But how easy is it to teach a machine a new tongue?
WatersTechnology speaks with data specialists from all parts of the capital markets in an in-depth examination of deep learning's impact in finance.
Banks are looking to cash in on the alternative data boom, but an in-depth investigation of the alternative data market shows that they may be in for an uphill battle to claim territory.
The interoperability platform will enable clients to have access to real-time data sharing and improve workflow collaboration.
Waters examines some of the most important events in financial technology of the past 25 years.
Nasdaq has bolstered its Analytics Hub with four new sources of alternative data.