AI
More banks flirt with machine learning for CCAR—but risks persist
The superior computational grunt of neural networks is attractive to lenders, but a lack of explainability presents a significant downside.
Cloud: Capital markets’ Swiss Army knife
The best uses of the cloud so far have been as an enabler of performance and innovation. The best uses yet to come could reshape AI. So, Max warns, if you think cloud is about cutting costs, you’re thinking about it all wrong.
Google-Greenwich: Financial firms agree on cloud's ubiquity, but vary widely on use cases
New research highlights predicted growth areas for cloud computing—and the tools it enables, such as AI and machine learning—in the capital markets. Spoiler alert: Google says cloud is becoming as ubiquitous as the search giant itself.
Alt data’s second inning: Brace for a long M&A game
The alternative data sector is still relatively nascent, and as such buy-side firms have struggled with how best to incorporate these non-traditional sources of information. While sources say that there will be continued M&A in the market, how those…
Waters Wrap: Get ready for the low-code, no-code explosion
Anthony looks at some recent developments in the low-code and no-code spaces, and tries to better understand what’s hype and what’s reality.
Waters Wrap: Some random thoughts about Big Tech disruption and M&A in Q4
Anthony looks at what he thinks will be the biggest topics during the last quarter of 2021.
Six corporate actions prototype aims to slash data delivery time
If the prototype is put into production, delivery of corporate actions data for dividends could be reduced from up to 24 hours to 15 to 30 minutes.
Waters Wrap: Cloud, AI, Interop: The evolutions driving fixed-income progress
Anthony believes these advancements will provide the opening for Big Tech firms to created outsized influence that will change financial technology forever.
FactSet, Microsoft collaborate on voice-activated analytics
The data vendor has deployed machine learning across its ETF and fund screening datasets, and plans to interoperate with other big tech firms in the future.
People Moves: Tradeweb, BondLink, Boosted.ai, Transcend, and more
A look at some of the key "people moves" from this week, including Devi Shanmugham (pictured), who joins Tradeweb as global head of compliance.
AI helps one investor screen targets against UN ethical goals
PanAgora has developed a two-stage process that aims to weed out the greenwashers.
Waters Wrap: Can interop connect the bond market better than consortiums? (Yes)
Anthony says that if trading firms want to take advantage of new datasets in fixed income and advancements in machine learning, they’re going to first have to embrace interoperability.
Show your workings: Lenders push to demystify AI models
Machine learning could help with loan decisions—but only if banks can explain how it works. And that’s not easy.
Research management systems vie to double as data, analytics providers in one-stop-shop bid
RMS providers Sentieo and MackeyRMS feel the pressure to become quasi-data and analytics providers in their quest to cover the gamut of the buy-side research analyst workflow.
Dutch asset manager turns to decision trees for currency predictions
APG has improved prediction accuracy for G10 currency movements after adopting decision tree-based machine learning.
EBA to consult on banks’ machine learning use
The watchdog will set out a new stance on ML-based capital models at a time of conflicting guidance from other supervisors.
Symphony taps Google for cloud, AI, data-sharing tools
By leveraging Google’s AI and data-sharing capabilities, Symphony is strengthening its ties with the tech giant, which is also an investor in the platform.
Regulators must find a balance with artificial intelligence
There's rapid digital transformation underway in the industry and regulators must get with the game plan while not over-regulating the use of AI.
SF quant firm uses 'nearest neighbor' machine learning for equities predictions
Creighton AI is using a regression-based approach to machine learning to help make predictions about the excess return of a stock relative to the market.
AML models face explainability challenges
Data gaps and potential biases must be accounted for in approaches to tackling money laundering.
Waters Wrap: Broadway Technology, Symphony, and new beginnings (And other new CEOs)
Anthony takes a look at some major CEO changes from the last year, and what those moves might mean for clients of those vendors.
Quants turn to machine learning to unlock private data
Replication could allow financial firms to use—and monetize—data that was previously off-limits
Brown Brothers Harriman continues AI ‘transformation’ of fund accounting unit
A new tool that helps business users test and validate their own POCs is set to join the bank’s ranks alongside its other AI projects implemented over the last two years: Linc, Guardrail, and Ants.
Deep XVAs and the promise of super-fast pricing
Intelligent robots can value complex derivatives in minutes rather than hours