Algorithmic Trading and SOR
9 white papers and resources
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
Putting Data Analytics to Work in Energy Trading
This whitepaper explores some of the most exciting data analytics solutions out there. If you want to harness machine learning, plug in forecasts to your own systems, or completely overhaul your forward curve management systems, keep reading - we have a solution for you.
TCA and fair execution. The metrics that the FX industry must use.
This white paper proposes the blueprint for FX TCA methodology that enables market participants to calculate and compare trading costs across both firm and last look liquidity.
Regime Forecasting using Machine Intelligence
This white paper looks into why it is important to understand market regimes, and the current approaches firms take in understanding these regimes. It goes further by discussing the different ways in which machine intelligence can provide solutions in creating strategies.
Special report: Unauthorised trading
Download this special report from Operational Risk & Regulation to find out why the risk of unauthorised trading grows from cultural and control problems and what can be learned from UBS’s $2.3 billion rogue trading loss uncovered in 2011. Read also an interview with Neil Roth, New York-based head…
Execution analytics: real-time challenges and directions in institutional trading
This white paper looks at managing securities trading data based on a robust process and technology infrastructure. It studies real-time analytics and Complex Event Processing (CEP) and the roles they play in the management of diverse data sets.