Algorithmic Trading
27 white papers and resources
Algorithmic Trading
How AI Builds and Sustains A Competitive Advantage in Banking
This whitepaper helps to explain why, going forward, we’re confident that AI-driven banking solutions will not only continue to be deployed on an increasing scale, they’ll become steadily more powerful, versatile, and woven more tightly into the DNA of the core business. We believe AI will create…
Real-Time Risk Management in Practice
The word “real time” is used frequently in discussions related to risk management, especially as it pertains to technology innovation. It is one thing to talk about real-time risk management in a theoretical sense, it is quite another to talk about it in practice. In this whitepaper a group of…
Chartis RiskTech Quadrant Outsourced Trading Solutions, 2021: CF Global Trading
As the buy-side increasingly views the sell-side as ‘algo delivery systems,’ asset managers are increasingly demanding ‘higher-touch’ solutions that address their trading pain points head-on. The coronavirus pandemic and the expanding working from home (WFH) environment have led to growing demand…
AI and Observational Learning: Resetting the Rules of Data Reconciliation
This whitepaper looks at how AI-driven observational learning techniques can improve accuracy and efficiency in your data reconciliations. No longer will AI need to be programmed to manage specific tasks on large, complex datasets – this ground-breaking technology observes, learns and improves on…
Managed Services in 2021: Poised for Lift-Off
This research report sheds greater light on current and future outsourcing trends that are likely to shape the capital markets including why cost reduction and efficiencies aren’t the only reasons for outsourcing and how cloud will become integral to managed services business model
Institutional ETF trading: 4th annual global institutional ETF trading survey report
This report presents the findings from Risk.net’s fourth annual global ETF trading survey, commissioned by Jane Street. It includes responses from 285 institutional investors, as well as qualitative interviews from six buy-side firms.
EDM client case study: Managing SRI-ESG data
This case study reveals how Mirabaud Asset Management is using IHS Markit’s Enterprise Data Management (EDM) platform to establish a strong foundation for the its long-term SRI-ESG (socially-responsible / environmental, social and governance investing) strategy. This includes empowering Mirabaud’s…
SPAN-2: enhanced margining framework
SPAN has been the industry standard for margining for decades. In recent years, the demands on margin methodologies have increased due to the growth in the diversity and complexity of products and the greater need for portfolio and capital efficiency driven by regulatory change.
High-performance risk analytics – usability and the user experience
In this final episode of the three-part audiocast series, contributing editor Tim Bourgaize Murray talks to Neil Dodgson, vice-president, product management at SS&C Algorithmics, as he charts the development of high-performance risk analytics from the perspective of usability and the user…
Risk analytics accessibility and the opportunity of cloud
In this second episode of the three-part audiocast series, contributing editor Tim Bourgaize Murray talks to Curt Burmeister, chief technology officer at SS&C Algorithmics as we turn the focus on risk analytics accessibility and the opportunity afforded by the cloud.