Year: 2025
Type: article
Abstract: As financial markets evolve, extracting timely and actionable insights from news content becomes increasingly critical for equity analysis and investment strategies. The surge in unstructured financial data poses a significant challenge for traditional analysis techniques. This survey investigates how Large Language Models (LLMs) can be harnessed to automate and enhance the interpretation of financial news. We explore a broad range of recent advancements, evaluate system frame- works, identify key obstacles, and discuss promising solutions. Our goal is to illuminate how LLMs are reshaping the landscape of financial analytics and to inspire continued innovation in this space.
Institution: Visvesvaraya Technological University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409329967