Stifel Europe weathered 2020 volatility and switched vendors in looking to simplify its middle- and back-office functions and increase tech investment.
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.
Intelligent robots can value complex derivatives in minutes rather than hours
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.
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.
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.
Researchers from a Paris university are using the provider’s data and coding environment to build models for more efficient regulatory approaches.
Futures market participants say standardizing trade allocations through a post-trade utility could prevent a repeat of the chaos seen in March 2020, when back-office systems fails resulted in thousands of trade breaks.
The share of electronic trading in the market remains low, but a host of factors promise to change that for good.
Vendors don’t release new products or updates without putting their software through rigorous testing. What does that testing involve, and what different approaches do companies employ? Max Bowie finds out.
The pandemic has caused setbacks in electronification and streaming in the US government bonds market.
ESG risks will become part of investment and risk management processes across all funds at the firm.
Later this year the vendor is looking to allow users to clip together various components of an algorithmic trading strategy, making it easier for users with limited programming skills to build their own trading strategies.
The two companies are in the early stages of using causal inference to help firms build machine learning models that are better able to handle disruption from events like the Covid-19 pandemic.
A summary of some of the past week’s technology news
The vendor will roll out new coverage across OTC derivatives, fixed income, and FX in the third and fourth quarters.
As Covid-19 impacted companies and markets in March, the machine-learning startup sought to help clients better manage risk exposures that couldn't be explained by traditional risk factors.
Blaze 7 will feature an enhanced, integrated suite for options volatility traders.
NextGen Strategic Advisors partnered on the Oneview extension, which combines machine learning and NLP to help firms prep for Libor’s discontinuation.
Software testing and monitoring keeps market infrastructure a step ahead amid market volatility.
The FX settlement specialist's information services arm is harvesting years of abandoned data for new projects.
Experts from UBS, Unigestion, MIT and QuantConnect discuss the need for nowcasting, and what the alt data boom has made possible in trying to navigate today’s crisis.
Firms are investing in new solutions for monitoring the front office in lockdown conditions, but the latest technologies raise concerns about privacy and intrusion.
The Chicago-based exchange has also released its first integrated solution with risk analytics provider Hanweck, which it acquired in February.