Deep Learning for Asset-Liability Management (ALM) in Insurance

Think of an insurance company as running a big, long-term balancing act: on one side, all the promises it has made to policyholders (liabilities); on the other, the investments it holds (assets). This case study shows how deep learning can act like a very fast, very smart flight simulator for the balance sheet—trying out thousands of ‘what if’ economic scenarios to help decide how much risk to take and how to invest while still keeping promises to customers.