Cryptocurrency is all the rage in capital markets, but how does it differ from other asset classes, how will it be regulated and what are its challenges and opportunities for trading firms and exchanges?
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
Corporate FX execution could see a significant shift towards API-driven and embedded workflows over the next five years, but the pace of change will depend heavily on whether banks and corporates can overcome integration challenges, according to a new survey from Integral, the currency trading and workflow automation solutions company. The survey, covering 143 corporate...
Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.
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...