LLMs can analyse news articles to spot stability risks – ECB study
Authors use AI to find trigger events in dataset of over 1 million stories
Artificial intelligence could be used to quantify ‘trigger events’ which pose a threat to financial stability through large-scale text analysis, a working paper by the European Central Bank finds.
In the paper, published July 28, authors Domenic Kellner, Jan Hannes Lang, Lukas Joseph Nagy and Marek Rusnák explain that financial stability risks typically arise from the interaction between underlying macro-financial vulnerabilities and adverse trigger events that can materialise unexpectedly. While
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