X-ALM was designed for the asset and liability management of a retail bank. It serves equally well those who advise or audit a bank, those who train its teams, and those learning the trade.
This is the core audience. X-ALM covers loans to individuals and businesses, regulated savings, deposits, market funding and hedges. It projects net interest income, gaps, EVE and liquidity ratios in every scenario, from the contract files you already produce for your current tools.
A run covers as many entities as needed, each with its own contracts and new business. Contract scopes are defined per scenario, reporting is done per entity and consolidated in Power BI. The mapping tables carry the group's reporting dimensions.
Groups made up of many entities need a single engine, configured once, and run on each regional bank with its own data. X-ALM strictly separates the engine, the configuration and the data: a model change is deployed by replacing a folder, and each entity keeps its files.
Entities are processed one after another in an unattended overnight batch on a dedicated machine, with no manual intervention.
An insurer's assets look very much like what X-ALM already projects: fixed- and floating-rate bonds, securities with coupon steps, premium and discount, swaps, caps, floors and swaptions, repos. Curves, rate and inflation shocks, and mark-to-market valuation are available out of the box.
Insurance liabilities, for their part, follow surrender and premium-payment behaviours that resemble those of non-maturity deposits: conventional run-off by layer, stable and volatile portions, rate sensitivity. X-ALM's product registry lets you declare these contracts with their own rules, without modifying the rest of the engine.
X-ALM does not, as it stands, produce a Solvency II prudential balance sheet. It projects cash flows, balances and market values in interest-rate scenarios. For an insurer, adapting the liabilities requires a preliminary scoping exercise, which we price together.
An independent engine to recompute the results of an industry tool, carry out a model validation assignment, or equip an ALM transformation project without depending on the client's IT systems.
Every contract can be replayed on its own, with its intermediate parameters snapshotted. The documentation gives the formula of every indicator with a worked example. Deviations are explained, not merely observed.
Real software, a sample configuration, a step-by-step guide and an asset and liability management textbook that starts from the elementary contract. Enough to make maturity transformation tangible, rather than merely describe it.
A complete ALM chain with no infrastructure: one workstation, one folder of files, one report. Enough to satisfy the supervisor long before you are big enough to justify a heavyweight tool.
Nothing leaves the workstation. No cloud, no telemetry, no dependency on a third-party service.
A quarter of an hour to install, a quarter of an hour to project 2.9 million contracts over three scenarios, a day for a first report on your data.
Documented formulas, replayable tests, proven parity with a reference model.
No server, no database, no third-party licence. Power BI Desktop, used to read the report, is free.
Write to us anyway. The best use cases are often the ones nobody had planned for.