Utilising Generative AI Tools to Monitor Systemic Risks in Global Banking: An Analysis of Earnings Call Transcript Data

This paper introduces a framework that uses the large language modeling (LLM)2 technique to analyse banks’ earnings call transcripts, aiming to generate insights into the key and emerging risks facing the global banking industry. The framework is shown to be effective in providing important analytical insights both at the industry and bank levels.

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