JPMorgan used ChatGPT to analyse decades worth of Fed speeches to find signals
The way that organisations and leaders talk can often give Wall Street subtle clues on the future of stocks, so banks are using new tools to analyse more financial data.
Key takeaways
- JPMorgan has announced that it’s built an Artificial Intelligence (AI) ChatGPT-based language model to analyse Federal Reserve statements and speeches in an effort to sniff out potential trading signals.
- JPMorgan economists then plotted the index against asset performances and found that the AI could potentially help in predicting policy changes and be useful for trading.
- In February, it emerged that the bank is restricting employees' use of the AI-powered chatbot amid concerns over issues such as bias and accuracy, and a regulatory landscape still adapting to the technology.
Cite or link to this article
Griffin, M. (2023) 'JPMorgan used ChatGPT to analyse decades worth of Fed speeches to find signals', 311 Institute, 27 May. Available at: https://www.311institute.com/jpmorgan-used-chatgpt-to-analyse-decades-worth-of-fed-speeches-to-find-signals/ (Accessed: 1 October 2026).
JPMorgan has announced that it’s built an Artificial Intelligence (AI) ChatGPT-based language model to analyse Federal Reserve statements and speeches in an effort to sniff out potential trading signals.
The model scoured 25 years' worth of Fed speeches to rank them on a "Hawk-Dove" score, says Bloomberg.
JPMorgan economists then plotted the index against asset performances and found that the AI could potentially help in predicting policy changes and be useful for trading.
In a note, the bank says "preliminary applications are encouraging," and the model has already been expanded to cover the European Central Bank and the Bank of England, with more central banks to follow.
ChatGPT is widely seen as having a huge number of applications in financial services but firms, including JPMorgan, have been cautious about using it up until now because of the unknowns about data privacy and data accuracy.
In February, it emerged that the bank is restricting employees' use of the AI-powered chatbot amid concerns over issues such as bias and accuracy, and a regulatory landscape still adapting to the technology.
In his annual letter to shareholders, JPMorgan Chase boss Jamie Dimon revealed that the bank has more than 300 AI use cases in production, labelling the technology as "extraordinary and ground breaking."
FAQ
Why does this matter?
The way that organisations and leaders talk can often give Wall Street subtle clues on the future of stocks, so banks are using new tools to analyse more financial data.
About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Jpmorgan ai puts 25 years 213402459 finance.yahoo.com
Source: first published by the 311 Institute on 27 May 2023. Cite as: Griffin, M. (2023). JPMorgan used ChatGPT to analyse decades worth of Fed speeches to find signals. 311 Institute. https://www.311institute.com/jpmorgan-used-chatgpt-to-analyse-decades-worth-of-fed-speeches-to-find-signals/
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