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 importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...
The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough...
Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the...