JP Morgan AM develops AI quant tool that uses mind maps to build thematic funds
ThemeBot uses textual relevance and revenue attribution to construct a list of stocks, which is then verified by JPMAM’s active equity analysts.
JP Morgan Asset Management is using an artificial intelligence tool to help its internal portfolio managers and analysts build thematic funds.
The tool, called ThemeBot, was created to help JPMAM’s portfolio managers generate a list of stocks associated with a theme. For example, it was used to construct JPMAM’s Genetic Therapies Fund, which aims to provide diversified exposure to companies in developed and emerging markets working on genetic treatments to address the underlying cause of
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Kalshi recruits TradFi partners for institutional build-out
The prediction market has inked partnerships with Tradeweb, BMLL, and others as it aims to give institutions familiarity in an emerging market.
Examining Google’s jump into financial research with enterprise Gemini
Google partners like Deutsche Bank and FactSet are using the offering to augment their own AI strategies.
SIX is preparing its data for clients that aren’t people
The Swiss exchange operator is betting that context and lineage will keep its market data relevant if AI agents become primary data consumers.
AI assistants for human overseers? Or human checks and balances for AI actors?
The Waters Wrap: Speakers at a recent Bloomberg event emphasized the importance of keeping a human in the AI loop—but, Max asks, for how long?
Fraud, breach of contract suit against LSEG can proceed, judge rules
Exchange group’s motion to dismiss fraud and breach of contract claims was denied on Friday in a Delaware court.
The Big Bang—a complex 40-year data journey yet to reach its destination
In this guest column, Finbourne’s Gus Sekhon reflects on the deregulation and privatization of the London Stock Exchange and what it meant for data.
Semantic density: old wine, or a new vintage?
Giving AI agents enough context to carry out enterprise tasks has become a priority for firms building them, but it’s expensive. It might not have to be.
Firms get AI access to LSEG data via DataBP admin layer
LSEG has expanded its agreement with DataBP to enable customers’ AI-based tools to request and evaluate data from the exchange and maintain more comprehensive usage records.
