Algorithmic Trading and SOR
15 white papers and resources
CP+ unveiled: accurate, real-time pricing for global credit and rates markets
Bond markets lack transparency, making it difficult for investors to value bonds and compare prices. This can lead to overpaying or missed opportunities. CP+, a real-time pricing tool for bonds, addressees these challenges by offering data on more than 290,000 bonds and integrating with trading…
In search of clean data: Firms navigate data challenges as LLM adoption flourishes
Large language models (LLMs), a form of artificial intelligence (AI) specialising in natural language processing, represent many opportunities for financial services firms to improve investment decisions and enhance risk management. These models are transforming the way they analyze data and…
Crypto: Too important to ignore
This WatersTechnology rapid read survey report examines the crypto finance priorities of institutional investors, how far along they are on their crypto journeys, the challenges in entering and participating in this market, and what they value most when partnering with a crypto data and technology…
Banks, asset managers look to vendors for T+1 support
This whitepaper focuses on the upcoming move in the US to T+1 (next-day settlement) of broker-dealer-executed trades. The paper explores what the move means to market participants, where they are in their projects in compliance with the new rules, the specific business processes they expect to be…
Integrating Pillars 1, 2 and 3: A better way to Basel IV
This Wolters Kluwer report provides actionable insights on how banks can navigate the challenges of Basel IV effectively
Podcast: Leveraging real-time data feeds for faster business decisions
The markets have been on a very volatile ride in 2022, which makes low-latency data more crucial to the business. This broadcast brought on a veteran data leader from the London Stock Exchange Group (LSEG), who shared what the key markets challenges are, and how firms can leverage LSEG’s vast…
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…
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…
Cloud-based access to most granular market data
A short introduction into the features and benefits of the new A7 Analytics Platform from Deutsche Borse.
TLM® Cash & Liquidity Management
This paper looks at robust stress testing and how to ensure a high degree of accuracy for making more informed decisions and meeting intraday liquidity reporting requirements