JD Hickey: Asset-liability matching tool reconfigured with single stage ALM approach

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Asset-liability tool streamlined using AI

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Ashutosh Sureka

25.04.2026

JD Hickey: Asset-liability matching tool reconfigured with single stage ALM approach — Asset-liability tool streamlined using AI

JD Hickey, industry influencer, reports developing a sophisticated three-stage asset-liability matching (ALM) tool using GPT, spending a significant part of 2025 on the project.

He has now used Claude to reconfigure the tool into a single-stage ALM application that includes embedded sequence of return risk. The adaptation marks an evolution in his approach to asset-liability management solutions using AI technology.

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Hickey has previously examined how volatility measures can misrepresent historical fund drawdowns, highlighting issues with missing $5% losses in risk calculations. He has also commented on brokerages shifting costs to retail investors as traditional mutual funds decline and centralization in the sector recedes. His latest work with AI-based ALM tools reflects ongoing efforts to address risk management challenges in financial services.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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