Refinitiv, an LSEG business, released the findings of its report titled ‘Evolution of Trading’ covering equities, fixed income, and FX trading. The report is a three-part series based on research commissioned by Refinitiv with Coalition Greenwich which surveyed market professionals, globally across the Americas, Asia Pacific and Europe and are analysed across asset classes, regions, and organisation type.
https://twitter.com/Refinitiv/status/1519376159913484288
The study highlights changes taking place at the global markets level and dives into the nuanced impacts that technology and data developments can have on equity, fixed income, and FX markets. The study found that trade execution and post trade are areas more automated for each of the asset classes. Client pricing, compliance checks and risk management are less automated. Multiple areas of the trading workflow are considered to require more automation, including trade execution and post trade. Survey participants agreed that automating processes and workflow will be an activity they will be spending more time on, with equal emphasis on digital communications with customers. Automation, alongside vendor consolidation will be the most common way firms cut costs. Limited budgets and integration issues are the main barriers to adopting new data sets, solutions, and technology.
Key findings of the study include:
FX
Equities
Fixed Income
Dean Berry, Group Head of Trading and Banking Solutions, LSEG, said: “As client needs, market structure evolution, regulatory changes and cost pressures are all driving the market forward, our research seeks to better understand the impact of technological innovation on the capital markets in a post-pandemic world. At the same time, our data-informed insights enable us to better provide technology-driven solutions that help our customers deliver greater value to their clients.”
Kevin McPartland, Head of Market Structure and Technology Research, Coalition Greenwich, said: “Automation is no longer about only trade execution, but instead improving the full trading lifecycle. As such, market participants are increasingly focused on pre and post trade analytics that require increasingly larger amounts of unique, high quality market data. Those that can connect these dots will see workflow efficiency, and in turn profitability, outpace that of their peers.”
Source: LSEG