Machine learning
Technical difficulties: OpenFin says it’s committed to FDC3, while others have their doubts
After quietly pulling its Finos membership this year, OpenFin’s involvement—at least in the public forum that governs it—with the interop standard it has championed for years, continues to dip. Though the vendor has re-affirmed its commitment to FDC3…
Waters Wrap: When will Big Tech providers turn sights on the market data space? (And deep learning)
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
Inside RBC’s Aiden project: 5 years of deep learning
Aiden, a trading platform launched last year, is the product of five years of experimentation with deep learning by RBC Capital Markets on top of an additional five years of hypothesizing about what best execution would one day require.
Acadian builds ‘green screen’ to auto-filter ESG phoneys
The $110 billion quant investor is creating an automated system to spot greenwashers.
Quoniam AM turns to machine learning for non-linear stock relationships
The Frankfurt-based asset manager is using machine learning to look at the performance of stocks with low returns, high-growth.
Finra taps AWS for next-gen regulatory search tools
A long-time AWS client, Finra is using a combination of AWS tools and its own knowledge graph to generate better search results.
Ping An Asset Management zooms in on NLP models for sentiment analysis
The asset management arm of Ping An Insurance (Group) Company of China is enhancing its NLP models to solve complex, non-linear challenges such as overfitting.
Waters Wrap: Buzzwords and the hype machine (And editorial judgment)
Anthony previews some of the major trend topics that WatersTechnology will look to cover over the next eight months.
BNP Paribas AM turns to machine learning for carbon emissions
The asset manager is using machine learning to estimate carbon footprints for companies that do not report emissions.
Banks, asset managers weigh trade-offs in third-party tools for machine learning
Although many banks and asset managers still prefer to build models in-house, off-the-shelf products are maturing.
Waters Wrap: Big Tech takes control of cutting-edge encryption (And consortium flat circles)
In addition to growing their cloud presence in the capital markets, Big Tech companies are, unsurprisingly, taking the lead on encryption and security in the cloud. Anthony sees positives and negatives. He also looks at bank-led consortiums.
Engineers tap machine learning to improve graph analytics
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
This Week: Google Cloud/Commerzbank, SmartStream, Anna DSB, and more
A summary of some of the past week’s financial technology news.
IHS Markit soft launches more Risk Bureau capabilities ahead of Libor transition
The newly-acquired data giant targets the sell side with a suite of new risk-based applications meant to help banks with the transition from Libor, which is expected for the end of this year.
GameStop post-mortem: Alt data world confronts eroding barrier between online and real life
After Redditors staged an epic short squeeze against a handful of hedge funds, some in the industry are left wondering whether today’s models and data techniques are prepared for world where online often equals real life.
Linedata looks to modularize OMS, analytics offerings to compete in consolidating market
After releasing its cloud-native AMP and data analytics platforms in 2020, Linedata is looking to readjust its OMS strategy as it embraces microservices.
PanAgora’s CIO & head of sustainable investing explain firm’s ESG framework, best practices
Waters Wavelength Podcast Interview Series: PanAgora’s George Mussalli and Mike Chen hit on topics including building predictive models using point-in-time data, and balancing ESG portfolios.
Fed could require senior management to explain AI models
A new era of accountability might see the Federal Reserve demand model explainability to keep financial system safe.
JP Morgan AM develops AI quant tool that uses mind maps to build thematic funds
ThemeBot uses textual relevance and revenue attribution to construct a list of stocks, which is then verified by JPMAM’s active equity analysts.
Data providers target data deficiencies in muni bonds market
Companies like Ice are looking at ways to help municipal bond investors gain transparency into a historically opaque market.
GreenKey aims to productize new research chatbot after winning Symphony hackathon
The company is consulting with buy-side and sell-side clients on how its newly developed GK Research Bot can best solve their research and information overload woes.
BlackRock looks to predictive ESG data, rather than point-in-time
Mary-Catherine Lader says that the asset manager is building out new modeling tools to help users better understand how the decisions a company makes today can affect their performance in the future.
State Street focuses on 6 data vendors for ESG analysis
State Street’s Chris Berry explains how the asset servicer winnowed 60 ESG data providers down to six, and why this strategy has proved to be effective.
HKEX targets company disclosure gaps with artificial intelligence
The system monitors annual reports for issuer compliance with listing rules, speeding up a formerly manual job.