Buy-side fixed-income trading desks have faced mounting demands on their time: the explosion of issuance, alongside greater transaction/trade reporting obligations, and increasingly rigorous internal audit requirements. However, they pale in...

Even as countries around the world are planning to emerge from lockdown conditions, there is no doubt that the coronavirus has already changed the way we operate and live. Digital adoption is now a new necessity, as corporates seek to thrive in a...

Market data, in all its formats, has long been heralded as the lifeblood of trading. In the last decade, this truism has been magnified not only by the growing volume of data but also the increase in resources and expertise dedicated to sourcing,...

Plentiful alternatives and COVID-19 frustrations will reduce barriers to switching and lead to significant opportunities for aggressive banks and other providers.

Starting with the increase in computational power in the 1980s, NLP has continued to expand and grow. Today, converging with machine learning and AI, NLP can power a trading system to both avoid bad trades as well as generate alpha.

After the rollercoaster of March, which experienced first a panic among investors, then a rush to funding by corporates, followed by unprecedented central bank and fiscal support for markets and the economy, many looked forward to April as a return...

Volumes dropped steadily throughout April as markets came to grips with the new normal: Fed intervention and what is likely to be a prolonged global crisis.

Even if you knew in advance who was the best axe in every name you called for the past five quarters and you called that person on the first try, the RFQ protocol would have cut your trading costs in half every time.

Amid the current focus on investor innovation in data analytics to gain an edge in their portfolios, there is another area in which asset managers are using analytics to create a competitive advantage: sales.

March 2020 has unfortunately provided the ultimate real-world example of the need forfirms to prioritize surveillance technology as volumes and volatility reached levels never seen before.