The two firms spent the better part of 2020 developing a detailed analysis of the quantum computing resources needed to achieve quantum advantage in derivatives pricing. Execs from IBM and Goldman explain why this benchmark is important for future…
Jo is skeptical that the SEC’s finalized market data infrastructure rule will make the public market data feeds faster.
Anthony takes a look at some of the major projects that involved application interoperability from last year. The list includes feats by Goldman Sachs, BlackRock, Barclays, ICE, State Street, Refinitiv, and FactSet.
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
WatersTechnology looks at some of the major projects coming out of Asia that are leading the way for firms around the globe.
The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
Anthony looks at how two major tech companies in the capital markets space are evolving their cloud strategies and what they might mean for the industry at large.
After the rollout of its Genesis platform, SS&C Advent is now thinking about how it can transition platforms like Geneva, Moxy, and APX to the cloud, though it’s a long-term project.
The trading platform is working to develop its pre-trade automation capabilities to predict a bond’s likelihood of execution, and helping buy-side clients navigate fixed income trading protocols.
The new offering will provide flexibility for firms who want front-, middle-office staff, and clients to use the same analytics, but where vendor services would be prohibitive.
In this profile of the Intercontinental Exchange, Lynn Martin explains how the company’s ICE Data Services unit is creating a unified offering with fixed income data at its core, after a series of acquisitions that began with its purchase of IDC in 2015.
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Regardless of fund type, portfolio managers can analyze their trade data and behavior to make improvements, according to Essentia Analytics’ CEO.
This Week: Janus/SS&C; Wolters Kluwer; Tora/Neptune; Standard Chartered/Northern Trust; SimCorp; & More
A summary of some of the past week's financial technology news.
Agent-based modeling has taken root seemingly everywhere throughout the last decade, from theoretical physics, to military operations, to public health, to ride-sharing apps like Uber, and to a much lesser extent, finance. However, a year such as 2020…
Boston-based Changebridge Capital is using a hybrid approach to find investment opportunities in misunderstood small- and mid-cap companies.
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
The deal reflects the broader trend of market participants pursuing scale to create true front-to-back trading and data environments, which may signal a trading platform acquisition in the future—though the IHS Markit acquisition may face regulatory…
Technology vendors have begun adopting Kubernetes and Docker to speed up application development and deployment at banks, but rethinking old ways will not be easy.
The data provider is using natural language generation to summarize news articles and write automated stories.
The new offering blends existing Axioma risk models into a single, nuanced risk assessment.
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Quants wrestle with how far into the past their machine learning models should peer.
In a recent proof-of-concept with AWS and SGX, Aquis demonstrated significant jitter reduction.