Volatility
Recent volatility highlights tech’s vital role in fixed income pricing
MarketAxess’ Julien Alexandre discusses how cutting-edge technology is transforming pricing and execution in the fixed income market amid periodic bouts of volatility
High-profile deals signal appetite for fixed-income growth
Amid renewed interest in the bond market, big firms are making strategic acquisitions to get in on the action.
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.
Data analytics dominate M&A agenda for exchanges in 2022
While there weren’t many headline-grabbing acquisitions in 2022, the year contained a handful of deals that point to expanding trends in the exchange technology industry.
The quant investor harnessing the power of ants
Swarm Technology has designed a network of trading algorithms that mimics the hive mind of insects.
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.
Cboe completes integrations of triple acquisition, turns focus on risk and analytics
In 2020, Cboe Global Markets acquired three businesses in rapid succession. Two years later, the tech stack integrations are complete, and the now-combined entities make up the majority of the exchange’s rebranded Risk and Market Analytics Group.
This Week: KPMG/Volante Technologies, LiquidityBook, Northern Trust & more
A summary of the latest financial technology news.
This Week: SS&C; DTCC; LPA & More
A summary of the latest financial technology news.
Tech vendors rethink risk in era of surging options volume
As options volumes soar, technology vendors are thinking about new risks posed when legacy infrastructure meets increasingly complex markets.
This Week: Bloomberg/HSBC, Refinitiv/Microsoft, IBM, Jump Trading, & more
A summary of the latest financial technology news.
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.
Bloomberg deploys math, not AI, to blend risk management and portfolio construction
The Mac3 GRM risk solution is live for equities users, uses no AI or machine learning, and will be rolled out to more asset classes next.
From burst to bust: What happens when cloud runs dry?
After years of initial resistance, the capital markets have come to depend heavily on the compute capacity of the public cloud. But increasing market volumes are rapidly outpacing the cloud capacity that organizations thought would be sufficient for…
Investment bank wraps up major tech overhaul after Covid-19 setback
Stifel Europe weathered 2020 volatility and switched vendors in looking to simplify its middle- and back-office functions and increase tech investment.
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.
Deep XVAs and the promise of super-fast pricing
Intelligent robots can value complex derivatives in minutes rather than hours
Meme stocks: Data providers conflicted on offering investment analyses
While some alternative data providers are jumping in on the meme-stock craze by producing new datasets and analyses geared toward risk management and alpha generation, others—perhaps rightly so—are staying cautious.
Four years of academic study on HFT yields complicated results
A transatlantic group of researchers has examined a treasure trove of market data to see whether or not high-frequency trading is a necessary component of today’s market structure. The answer is largely ‘yes,’ but with caveats.
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.
BMLL partners with quants for HFT regulation
Researchers from a Paris university are using the provider’s data and coding environment to build models for more efficient regulatory approaches.