A case study for unlocking the potential of deep learning in asset-liability-management

The extensive application of deep learning in the field of quantitative risk management is still a relatively recent phenomenon. This article presents the key notions of Deep Asset-Liability-Management (“Deep ALM”) for a technological transformation in the management of assets and liabilities along...

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Bibliographic Details
Main Authors: Thomas Krabichler, Josef Teichmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1177702/full