Article ID: 2bbad48cd0e3716ae1d17b1b7689be2064ff94fa3e4a4b25795ccdcc46dfa841
Source ID: regulatory:risk.net
Published At: -
Extraction Method: trafilatura
URL: https://www.risk.net/resource/7963232/harnessing-llms-for-financial-alpha?cta=true
Body Text
Harnessing LLMs for financial alpha Recent developments in Natural Language Processing (NLP) have brought about large improvements in the ability to both analyse and generate text-based data. These theoretical modelling breakthroughs have been accompanied by significant increases in computational power and software tools that make harnessing this enhanced processing capability more accessible to researchers. Meanwhile, substantial development efforts have gone into producing highly optimised hardware and software, such as the NVIDIA® CUDA® Toolkit CUDA toolkit and transformers packages, that make it possible to run, fine-tune and deploy many of the most powerful language models within only a few hundred lines of code. These factors together have meant that the potential to leverage text-based data has never been greater. This study limits analysis to US equities within the S&P 500 to prioritise liquidity and data consistency. Future extensions could incorporate global equities, leveraging LSEG’s international coverage. This would require adjustments for cross-border factors such as time zones and regulatory differences. Download the whitepaper Register for free access to hundreds of resources.
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