Data Management
SS&C Advent Looks to the Cloud for Future Tech Deployments
After the rollout of its Genesis platform, SS&C Advent is now thinking about how it can transition platforms like Geneva, Moxy, and APX to the cloud, though it’s a long-term project.
Cosaic Debuts Options Analytics Charting, Sentiment Study
The new offering will provide flexibility for firms who want front-, middle-office staff, and clients to use the same analytics, but where vendor services would be prohibitive.
ICE ‘Bonds’ Acquisitions into Fixed-Income Powerhouse
In this profile of the Intercontinental Exchange, Lynn Martin explains how the company’s ICE Data Services unit is creating a unified offering with fixed income data at its core, after a series of acquisitions that began with its purchase of IDC in 2015.
Waters Wrap: Best-of-Breed or One-Stop-Shop, That is the Question (And NLG Thoughts)
RBC is building a new custody platform using a variety of vendors, and it shows how the interoperability movement is progressing. But Anthony wonders how interop will continue to evolve at a time of great consolidation.
State Street’s Milek on the Front-Office Data Challenge
Marko Milek says the trend of outsourcing data management is becoming more mainstream.
This Week: Janus/SS&C; Wolters Kluwer; Tora/Neptune; Standard Chartered/Northern Trust; SimCorp; & More
A summary of some of the past week's financial technology news.
At the ‘Fringes of Realism’: Agent-Based Models Take Hold Among Quants
Agent-based modeling has taken root seemingly everywhere throughout the last decade, from theoretical physics, to military operations, to public health, to ride-sharing apps like Uber, and to a much lesser extent, finance. However, a year such as 2020…
Startup Hedge Fund Turns to Quantamental Analysis for ESG Products
Boston-based Changebridge Capital is using a hybrid approach to find investment opportunities in misunderstood small- and mid-cap companies.
Platts Unveils Trade Vision API for Natural Gas Price Submitters
The latest release builds off of lingering automation needs within last year's phase-one Trade Vision database launch.
S&P-Markit: It’s Not Over Yet
S&P and IHS Markit may have agreed to their takeover deal, but there may yet be some surprises before the deal actually closes. Max ponders what might lie in store for the companies over the next six months.
Regulation Won’t Address Market Data Costs
Market participants say Esma’s latest efforts to address the cost and complexity of market data fees don’t address the root of the problem.
Waters Wrap: S&P-IHS Markit and the Land of Giants (Also, More on AML Tech)
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
‘Massive Land Grab’: S&P’s IHS Markit Buy Creates Data Juggernaut, But Users Fear Price Hikes
The deal reflects the broader trend of market participants pursuing scale to create true front-to-back trading and data environments, which may signal a trading platform acquisition in the future—though the IHS Markit acquisition may face regulatory…
Wavelength Podcast Ep. 221: Tech Execs Discuss Innovation in 2020
JP Morgan Chase's head of AI technology and Deutsche Bank's head of innovation for the Americas at Deutsche Bank join to talk about AI, cloud, and more.
Natural Language Generation: Great Promise, Significant Barriers
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
Bloomberg Enlists NLG to Write News Summaries
The data provider is using natural language generation to summarize news articles and write automated stories.
Facteus Makes Consumer-Spend Data Available in Real Time via Bloomberg Terminal
Facteus officials say Bloomberg's clients will benefit from being able to assess the impact of consumer-spending data on macroeconomic indicators.
UBS AM’s Quant & Data Science Unit Looks to Blend Human & Machine in 2021
The QED team within the asset manager is aligning its focus next year to deliver a holistic AI platform to its investment professionals—including a recommendation engine.
TradingHub Looks to Analyze Aggregated Client Data to Improve Market Abuse Risk
The service would aim to allow buy-side firms to proactively monitor for trading abuse, rather than react after the event.
Waters Wrap: Machine-Learning Models Suffer from Covid (And Exchanges in the Cloud, Pt. 2)
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Model Misfires Raise Questions Over Training Data
Quants wrestle with how far into the past their machine learning models should peer.
Aquis Slashes 'Jitter' in Cloud Project
In a recent proof-of-concept with AWS and SGX, Aquis demonstrated significant jitter reduction.
Nasdaq Looks to Contextualize ESG Ratings
The exchange's ESG Footprint converts ESG data into everyday metrics to show investors the impact of their portfolios.