A practical model for tracing how a single shock moves between the seven Abgalis risk domains — and what that means for capital, underwriting and disclosure.
FlagshipCross-domainSolvency IIORSAOpen the risk register of any large insurer and you will find seven or eight headline categories — insurance, credit, market, operational, group, conduct, strategic, climate — each with a sub-taxonomy, an owner, and a quarterly committee. Each is treated, in the modelling layer, as a separate distribution. Aggregation happens through a correlation matrix calibrated to historical co-movement.
This works — until it doesn't. The patterns insurers have found difficult to explain in the past decade share a common structure. A peril event arrives in one domain; the loss it triggers there is modelled and reserved; but the second-order consequences in adjacent domains arrive months later, with no reservation, no capital allocation, and frequently no owner. The insurer accounts for the shock as an insurance loss while the same shock is generating a credit migration in the bond portfolio, an operational continuity failure in the reinsurance recoverable, and a regulatory letter that constrains next year's underwriting.
ABGALIS organises the enterprise into seven domains — chosen because each has a coherent transmission identity:
| Domain | What it covers |
|---|---|
| Market | Interest-rate, spread, equity, currency and property exposure; ALM and matching-adjustment sensitivity |
| Credit | Counterparty default in invested assets, sovereign drift, reinsurance recoverable risk, broker counterparty |
| Liquidity | Stressed cash-flow coverage, collateral and margin calls, mass-lapse scenarios, liquidity fungibility across entities and currencies |
| Insurance | Underwriting losses, reserve volatility, accumulation, claims inflation |
| Operational | People, process, systems, third-party concentration, cyber, data integrity, conduct failure |
| Climate & ESG | Physical primary & secondary perils, transition asset re-pricing, climate litigation, nature dependency |
| Strategic & Emerging | Business-model shift, reputational, geopolitical, technological, regulatory novelty — risks not yet in the standard taxonomy |
A transmission channel is the route by which a shock in one domain becomes loss, capital pressure, or constraint in another. Channels have three observable properties:
Three structural reasons. Calibration regime — matrices learn from quiescent periods, then aggregate as if the same coupling held in the tail. No direction or latency — a symmetric coefficient cannot express timing. Conflation of channel with co-cause — two domains can be correlated because a third factor causes both, or because one channel transmits the shock directly. The risk-management response should be different in each case; the matrix treats them identically.
If a firm's cascading-risk model can be solved analytically with a single matrix multiplication, it is too linear. Real cascades require iterative, time-stepped, state-aware computation — and the firm's stress-testing infrastructure should be sized accordingly.
The Abgalis Engine is the cross-domain intelligence layer that powers ICRIP. It treats transmission channels as first-class entities — each with identity, direction, latency, and a structural transmission characteristic that can be calibrated, monitored and stress-tested. The Engine doesn't replace the SCR; it constrains the dependency module of the SCR architecture by ruling out diversification credit between domains where the apparent independence is an artefact of the calibration window.
Output is a structured account of where a shock travels and when, which existing capital infrastructure consumes in three ways:
The internal mathematical methodology is patent-pending and reserved to ABGALIS. This page describes the surface — the channels, their properties, and their use in capital and disclosure work.
The web summary above covers the framework. The full 12-page paper goes deeper on the seven domains, channel calibration, defects in correlation modelling, and three engagement routes for insurers and reinsurers exploring channel-aware risk infrastructure.