LSEG Data & Analytics
Intraday pricing: fixed income’s next frontier
With firms looking to price fixed income securities on an intraday basis, specialist pricing providers such as LSEG help address cost, complexity and time-to-market challenges
Doubts linger over start date for 24-hour US stock trading
NSCC will be ready in June, but questions remain over corporate actions and circuit breakers
Transforming the trade lifecycle with pricing and reference data in the cloud
LSEG is developing its cloud-based data service to reflect how financial institutions now use information to feed systems and generate insight
Repricing risk in a global rate reset
Firms are reallocating risk exposure, evolving forecasting models and leveraging deep macroeconomic data to uncover patterns and challenge assumptions
Data and analytics firm of the year: LSEG Data & Analytics
Energy Risk Awards 2025: Firm’s vast datasets and unique analytics deliver actionable insights into energy transition trends
Independent audits drive compliance in FRTB data solutions
The EU and the Basel Committee have introduced strict audit standards for data vendors to uphold the FRTB rules, and audited solutions are critical to ensure compliance, minimise NMRFs and reduce capital requirements
Direct feeds: life in the fast lane
Financial services firms are consuming more data than ever to drive a number of front- and middle-office use cases, including algo, proprietary and HFT, market-making functions and backtesting trading strategies
Pricing and reference data in the cloud: fuelling opportunity today
A cloud-based security master can transform data management, analytics, automation and innovation across the enterprise
Real-time and historical market data: priorities, preferences and the cloud
This paper focuses on firms’ current market data priorities, the asset classes and geographies they are looking to focus on in the near future, and the benefits they expect moving their historical market data storage and consumption to the cloud
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.
Banks unravel data conundrum as FRTB implementations stall
This Risk.net rapid read survey report details how much progress banks have made in implementing FRTB and highlights the major challenges they face in gaining data insight, both for the SA and the IMA.
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