Quants and data scientists can now access five years of Level 3 data through the vendor's Data Lab platform for use in alpha generation.
Officials say FISD's standards efforts will encourage and support broader adoption of alternative data among firms that have previously not had the resources to take advantage of new alt datasets.
ESG risks will become part of investment and risk management processes across all funds at the firm.
Advancements in modeling and the rise of alt data have made the process of prepping for the US presidential election more complex, but hopefully more accurate.
The TIAA company has developed its own metrics and partnered with provider Zaloni for a comprehensive approach to sustainable investing.
Just as there’s always money to be made from doing dirty jobs, there are opportunities around dirty data—especially in industries that are only now beginning to appreciate the value of being data-driven.
Young firms, using machine-learning methods to scrape consumer info, challenge established agency model.
Quant funds are striving to adjust their ESG models to take into account changes in corporate behavior during the pandemic.
Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.
In the era of big data, standards take too long to adopt, say industry participants.
What if you could create your ideal, fully-functional application without writing a single line of code? With low-code and no-code platforms, you can—with a catch … or two, or three, or four.
The new datasets mark a milestone in the company's multi-year strategy to allow investors greater access to small and medium enterprise companies.
Waters Wrap: How Cloud, APIs, and Open Source Are Changing the World of Fintech (And Blockchain's ZTA Play)
Anthony looks at how the lines that have traditionally defined the world of "fintech" are blurring. Also, can blockchain help with ZTA's advancement?
This report provides a guide to figuring out what is at stake with Libor and other interbank offered rates. It addresses the challenges and risks, the development of alternative data or reference rates, and begins the process of replacing Libor well…
The company's news tracker, available on the Macro Vitals app, uses language models to classify reports on specific companies.
Anthony explores how Snowflake is trying to win over business in the cap markets, talks about the reference data space, and examines a new breed of data vendors.
The modules, which use machine learning to derive predictive insights, are scheduled to go live in Q1 2021.
The unit is combining foot-traffic data and proprietary datasets derived from hospitals to develop a better understanding of outbreaks and predict a timeline for recovery.
Wei-Shen and Tony talk about alt datasets relating to the pandemic.
As exchanges partner with cloud providers to move more functions to the cloud, Anthony wonders if these partnerships could become competitive in the future.
Investment firms and vendors are searching for signals in healthcare and pharmaceutical data in a bid to get a leg up on a Covid-19 vaccine.
The investment manager has developed frameworks to better understand how ESG issues impact individual company performance and sectors.
Waters Wrap: The Problem with Big Ideas (and Some Ramblings on Virtual Desktops & Tech's Blurred Lines)
Isda's CDM leaves banks questioning the way forward; the rise of virtual-desktop infrastructures; generic business intelligence tools become more popular.
Quants are using data on product returns and employee welfare to pick winners.