Vendor says automated data collection and cleaning helps corporates plan better hedges, with unexplained P&L moves cut by 87% When a corporate treasury is working out its foreign exchange hedging strategy, it needs to consult forecasted cashflows and revenues, as well as billing and invoices in foreign currencies. But this data is often messy, residing […]
Researchers from the Swiss National Bank have shown how a trading strategy that uses fine-tuned large language models (LLMs) to analyse sentiment in the foreign exchange market could outperform traditional language-based artificial intelligence methods. The authors of the SNB working paper, Daniele Ballinari and Jessica Maly, suggest that by fine-tuning LLMs to better understand the jargon
Bank FX market-makers ramp up AI usage – FX Markets End of drawer navigation content Skip to main content Barclays applies tech to predictions, while HSBC and ING look at pricing accuracy Bank foreign exchange market-makers are increasingly using machine learning and artificial intelligence technology to improve their pricing predictions and sharpen levels shown to
Artificial intelligence has increasingly become an all-encompassing term in financial circles. But in foreign exchange trading, what does it actually mean? Banks have been vocal about how they have used AI for years when developing their execution algorithms, making documentation easier, and in their client chatbots. But from a trading perspective, arguably the more impactful
Published: March 3, 2025 at 8:05 a.m. ET Nvidia Corp.’s market performance over the past six months is a good illustration of the difference between a good company and a good stock. Nvidia — the company — has performed phenomenally. Its cumulative earnings per share over the past two quarters were more than 800% higher than
For AI’s magic hammer, every problem becomes a nail – FX Markets End of drawer navigation content Skip to main content Risk.net survey finds banks embracing a twin-track approach to AI in the front office: productivity tools today; transformation tomorrow Hammers are great at knocking in nails. It’s the job for which they were made.
Every day, thousands of bilateral trades in cash and derivative instruments are arranged via Bloomberg instant messages on the tech firm’s ubiquitous terminals, with parties sending out requests for quotes (RFQs), haggling over prices, and exchanging market colour. However, the process is often cumbersome, requiring salespeople to manually cut and paste information between chat windows.
