Hayley McDowell – “The move means that clients will be able to use the FactSet workstation alongside proprietary, internally-developed desktop applications, and integrate third-party applications that are accessible via the OpenFin ecosystem into FactSet workflows.”
Christopher Tiscornia – “As we move forward, U.S. asset managers need to implement best practices to promote greater transparency and support the spirit of MiFID II and its unbundling requirements. These practices include:
- Having a thorough, defensible process around research valuation and consumption.
- Unbundling the trade execution decision from the research decision via the use of CSAs.
- Providing transparent reporting of research funding, consumption, and value to asset owners and regulators.
- Ensuring that the interests of managers and asset owners are aligned. Managers need to articulate how their research spending patterns, approaches to investing, and enhanced reporting processes are consistent with asset owners’ expectations.”
BUSINESS WIRE – State Street MediaStats scours more than 100,000 media sources as well as other big data sources to estimate future price changes and risks pertaining to individual equities, country equity indexes, and foreign exchange rates. The indicators use natural language processing and machine learning algorithms to account for biases and helps filter out noise in the media based on an extensive body of founding partners’ research.
GLOBE NEWSWIRE – The Brokereach service has been significantly enhanced visually and is now enriched with new third-party integrations. At the same time, it remains a cost-free web trading platform, with the broker paying a small fee for FIX connectivity.
Rowland Park – Of course, Refinitiv (formerly known as Reuters) and Bloomberg terminals have been a mainstay of trading desks for decades, but now firms are using algorithms to transform headlines into data which can be utilized by both human traders and algorithms, to drive trading decisions. … The volume and lack of innovation in the world of financial research means that it is very difficult for market participants to effectively handle and consume the information they are receiving, leading to less-effective outcomes. … The opportunity now is to use smart technology to transform the liability of information overload in financial research into the asset the analysis was designed to be in the first place.
Monica Summerville – A common approach to data architecture in financial services has been to utilize a data technology stack comprising a collection of approaches – for example, historic data in a relational database, recent data in a columnar database, and real-time data in some sort of event processing software engine. To obtain a consolidated view, connections must be made directly to various systems; an approach that gets increasingly complex over time.
S&P Global Market Intelligence announced the launch of Textual Data Analytics (TDA), a sophisticated new data offering which applies Natural Language Processing to generate sentiment scores and behavioral metrics based on company transcripts