Quantitative
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?
Bot’s job? Quants question AI’s model validation powers
But supervisors cautiously welcome next-gen model risk management
Citi quants’ AI model aims to hedge earnings surprises
Machine learning tool forecasts effect of shocks on implied volatility surfaces in minutes.
Data brain drain may prompt move to managed services for market data management
A shortage of data professionals with suitable experience to run large financial firms’ data organizations could drive firms to completely outsource the management and administration of their third-largest expense.
It’s amateur hour: examining retail trading and options data
Cutting-edge data shows non-professionals are driven by news events and a desire to make a quick buck.
Academics use granular data for futures market predictions
Researchers at NYU’s Courant Institute of Mathematical Sciences are using granular futures data from BMLL for research on less-covered futures markets.
LSEG-MayStreet: From direct feeds revamp to reg tools, industry sources outline rationale for deal
The acquisition of the 10-year-old vendor will give the exchange group high-quality market data, low-latency direct feeds, and packet-capture capabilities, experts say.
People Moves: Cboe, Broadridge, DTCC, Liquidnet, and more
A look at some of the key "people moves" from this week, including Stephanie Renner (pictured), who has been named senior vice president of international finance at Cboe Global Markets.
This Week: Bloomberg; Charles River, DTCC, SmartStream & More
A summary of the latest financial technology news.
One view to rule them all: Buy side firms seek to unify their data
Asset management firms still struggle to consolidate their data so that it speaks the same language across different business lines. Some new SaaS-based investment management vendors are aiming to solve this.
How NN IP uses machines to read the market—and itself
Dutch manager being acquired by Goldman uses machine learning to ‘augment’ its analysts
Meme stocks, Reddit, and QAnon: A postcard from the origin of the metaverse
Join WatersTechnology for a look back at the most absurd stories of the year—Reddit/GameStop, the advent of meme stocks, and QAnon—and what they mean for you.
Machine learning & NLP in the capital markets: Some examples from 2021
To show how ML and NLP are spreading across the industry, WatersTechnology highlights 20 stories from the last 12 months that feature unique uses of AI.
Slow burn to a big bang: How the new wave of tech is changing market data platforms
For decades, market data platforms have been critical components of financial firms’ trading infrastructures. But with changing user needs and emerging technologies gaining ground, will the platforms of the past be replaced by upstart challengers—or can…
People Moves: NYSE, Broadway, FactSet, Tourmaline, and more
A look at some of the key "people moves" from this week, including James Bunch (pictured), who joins TRG Screen as chief technology officer.
New breed of NLP model learns finance better, study finds
Models trained by looking at sentences beat conventional approaches that contextualize words.