Quantitative
Project Condor: Inside the data exercise expanding Man Group’s universe
Voice of the CTO: The investment management firm is strategically restructuring its data and trading architecture.
Startup helps buy-side firms retain ‘control’ over analytics
ExeQution Analytics provides a structured and flexible analytics framework based on the q programming language that can be integrated with kdb+ platforms.
The coming AI revolution in QIS
The first machine learning-based equity indexes launched in 2019. They are finally gaining traction with investors.
Start-up FinChat aims to disrupt research space using GenAI
Since launching amid the GenAI mania last spring, FinChat has been buoyed by its use of AI in sourcing its data.
BMO’s cloud migration strategy eases AI adoption
The Canadian bank is embracing a more digital future as its cloud strategy makes gains and it looks to both traditional machine learning and generative AI for further augmentation.
How Ally found the key to GenAI at the bottom of a teacup
Risk-and-tech chemistry—plus Microsoft’s flexibility—has seen the US lender leap from experiments to execution.
Man Group CTO eyes ‘significant impact’ for genAI across the fund
Man Group’s Gary Collier discussed the potential merits of and use cases for generative AI across the business at an event in London hosted by Bloomberg.
Systematic tools gain favor in fixed income
Automation is enabling systematic strategies in fixed income that were previously reserved for equities trading. The tech gap between the two may be closing, but differences remain.
The bank quant who wants to stop genAI hallucinating
Former Wells Fargo model risk chief Agus Sudjianto thinks he has found a way to validate large language models.
Man Group’s proprietary data platform is a timesaver for quants
The investment firm’s head of data delves into its alt data strategy and use of AI tools to boost quant efficiency.
Vanguard cautiously explores neural networks for alt data analysis
John Ameriks, head of Vanguard’s Quantitative Equity Group, explains the rationale behind dataset selection and how the group has been using machine learning.
Elephant in the room: Balancing AI innovation with cloud projects
Voice of the CTO: While generative AI is today’s hot topic, bank technologists explain how they’ve spent years planning for this day, even if cloud had been the main focus. And to be sure, skeptics remain.
GenAI and HFT: A competitive edge?
Timing is critical in the capital markets. IBM researchers say genAI’s predictive abilities in combination with AI/ML models can translate into profitable HFT opportunities.
Quants look to language models to predict market impact
Oxford-Man Institute says LLM-type engine that ‘reads’ order-book messages could help improve execution
Goldman’s Marquee is a gradual revelation
Multiple apps are being corralled into a sticky cross-asset ecosystem, updated with Python and cloud
Automation in fixed income: Sorting the bluster from the bleeding edge
Automation is gaining traction in fixed-income markets, but use cases are limited and progress is slow. Market participants must overcome some uniquely human problems before they fully embrace the machine.
This Week: Confluence Technologies, Genesis, LexisNexis, and more
A summary of the latest financial technology news.
Index fees fatigue: Regulators, startups move in on the big 3 providers’ $5 billion business
Users of index data often complain about the fees they have to fork out, particularly to the likes of S&P, FTSE Russell, and MSCI. WatersTechnology examines the state of the industry and what will disrupt the status quo.
The haves and the ‘have bots’: can AI give vol forecasters an edge?
Quants at Acadian, Man Group, Northern Trust and PGIM are investigating the use of machine learning and natural language processing to improve volatility forecasts.
Build versus buy: How to evaluate your software
For as long as the investment management industry has used software, there has been a debate about whether asset managers should build or buy their tools. Jonas Svallin, global head of quantitative research and product development at FactSet, argues that…
Can algos collude? Quants are finding out
Oxford-Man Institute is among those asking: could algorithms gang up and squeeze customers?