SimCorp has sought to better prepare clients for increased market volatility with an update to its Axioma Worldwide Equity Factor Risk Model, which is designed to help managers identify risks in their portfolios.
Among its improvements is the introduction of a Non-Linear Residual Factor, which uses machine learning to identify hidden factor correlations that can’t be detected by standard, linear models.
The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...
Demand for private market data is expected to continue rising as the growing popularity of the asset classes accelerates, putting pressure on feed prices. With no end in sight to market volatility and artificial intelligence enabling the sourcing of ever-larger volumes of critical financial and operational information, financial institutions are likely to increase their data...
Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...