Large Language Model in Financial Regulatory Interpretation

arXiv:2405.06808v1 Announce Type: cross
Abstract: This study explores the innovative use of Large Language Models (LLMs) as analytical tools for interpreting complex financial regulations. The primary objective is to design effective prompts that guide LLMs in distilling verbose and intricate regulatory texts, such as the Basel III capital requirement regulations, into a concise mathematical framework that can be subsequently translated into actionable code. This novel approach aims to streamline the implementation of regulatory mandates within the financial reporting and risk …

abstract arxiv capital cs.ai cs.cl design financial guide iii interpretation language language model language models large language large language model large language models llms prompts q-fin.rm regulations regulatory study tools type