Here’s what ML and NLP powered in capital markets in 2022

As machine learning and natural language processing continue to spread across the industry, WatersTechnology highlights stories from 2022 that feature new use cases.

Innovation is the name of the game, especially in the capital markets. And two prominent tools behind innovative developments are machine learning (ML) and natural language processing (NLP).

The use of AI is rapidly growing in all facets of life, including trading. It’s growing so fast, in fact, that regulators including the Bank of England and the Dutch AFM have raised concerns about the possibility that machine learning trading algorithms could ‘learn’ to collude. Quants are also questioning

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Systematic tools gain favor in fixed income

Automation is enabling systematic strategies in fixed income that were previously reserved for equities trading. The tech gap between the two may be closing, but differences remain.

Why recent failures are a catalyst for DLT’s success

Deutsche Bank’s Mathew Kathayanat and Jie Yi Lee argue that DLT's high-profile failures don't mean the technology is dead. Now that the hype has died down, the path is cleared for more measured decisions about DLT’s applications.

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