GTCOM-US, once a bespoke alt data shop for the buy side, has narrowed its offering to focus on Chinese datasets as the largest alt data players get even bigger.
PineBridge Investments uses economic and time-series data analytics provider Macrobond Financial to better its economics research, which supports its portfolio managers and the firm’s overall investment thesis.
Futures market participants say standardizing trade allocations through a post-trade utility could prevent a repeat of the chaos seen in March 2020, when back-office systems fails resulted in thousands of trade breaks.
Budget reallocation may not be the only factor stalling standardization progress, say market participants.
Three fixed-income experts look back on the bond market’s liquidity crisis spurred by the pandemic’s early days, and ponder where regulation and data-quality efforts might next lead the space.
While many expect the president-elect to take a bullish stance on environmental issues, it's unclear what a new dispensation can do for the dilemmas around ESG standards.
Covid culture is set to continue this year, as are the associated changes to working practices in the financial markets and the technologies that support them. Max wonders what the new ‘virtual’ reality will look like in 2021 and beyond.
As 2020 comes to a close, Anthony looks at how firms have adjusted their short- and long-term plans in the face of the coronavirus, focusing on office space, innovation, alt data, and mental health.
It’s almost Dec. 25, which means that Max Bowie is back with his annual market data Christmas-song column.
After its acquisitions of Red Hat and Promontory, IBM is looking to expand its footprint in the capital markets through containerization, as well as reg reporting in the cloud.
In minutes, JEFQuants compiles information from multiple sources into a unique data package based on traders' queries.
Hans delves into machine learning, moonshot projects, technical debt, and what has been learned during the pandemic.
Banking experts urge firms to consider re-engineering a process before turning to robotic process automation.
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.
Senior execs from Citizens Bank, Commerzbank, and Deutsche Bank discuss lessons learned during the pandemic.
The two companies are in the early stages of using causal inference to help firms build machine learning models that are better able to handle disruption from events like the Covid-19 pandemic.
Banks are focused on making work-from-home life more secure, but how can these projects be used to improve the customer experience going forward?
Emerging tech is proving its worth since the Covid-19 outbreak, and are swaying skeptics towards even greater adoption, panelists said.
The initiative's aim is to capture more of the exchange's internal data to commercialize that useful information for the investment community.
Coronavirus has heightened the need for IT and data security, exposing areas for potential improvement. One option is to lock down sensitive areas using a practice called Zero-Trust Architecture, which offers a host of benefits, but brings with it some…
Financial firms’ boards are increasingly taking a more hands-on role towards IT security—thus driving adoption of important new security measures for their firms and the industry as a whole.
The company's news tracker, available on the Macro Vitals app, uses language models to classify reports on specific companies.
The new functionality will help to give context to market manipulation alerts.
The Derivatives Service Bureau is looking for new members on its technical advisory committee, after its designation as the UPI service provider.