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…
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.
This white paper explores how behavioural science technology can cut through data to help identify insider trading. It further examines how technology can identify suspicious trading, so teams can avoid the waves of false positives that occur from using systems which rely on mathematical models.
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.
This white paper explores the current state of trade reporting and shows how growing costs, complexity and regulatory scrutiny are fueling a compelling business case for third-party managed solutions.
In this white paper intended for the wider financial industry, we present our vision for the design and regulation of electronic financial markets empowered by formal verification.
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…
Focusing on technological innovation, business strategy and geographical markets, this guide provides thought leadership on how capital markets firms can capitalise on real-time data and leverage new risk strategies for a trading advantage.
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.
Over the past 20 years, financial modelling increased in complexity to better describe complex market behaviours and allow market-makers to stay competitive in a maturing world. This maturity led, for example, to the proper handling of volatility surfaces many years ago and, more recently, to the…