GRA · Actuarial and Quantitative Risk

Spatial financeWhere capital meets hazard, exposure and transition

Reviewed models and scenarios

Quantitative models turn hazard, exposure and behaviour into loss distributions, capital and pricing questions. This page sets out what a quantitative annex to a readiness file contains and the professional standards actuarial work follows. Every value shown is a design value; no page here is an actuarial opinion.

01Workspace

The workspace for reviewed models and scenarios.

Pipeline

Reviewed models and scenarios · Workspace WS-71 · Example interface, not a record

One stage waitingGRA · Actuarial and Quantitative Risk

Stages

  1. Ingest5 sources
  2. Validateschema · licence
  3. Transformversioned
  4. ModelActuarial
  5. Testheld-out
  6. Releasewith limits

Artefacts

Claims trianglesv2.9To checkOBSERVED
Exposure datav2.8To checkREPORTED
Mortality tablesv4.1To checkPublished statistics
Economic scenariosv6.2OpenMODELLED

Compute quota

share used vs alert level

CPU hours53 used of 80 used limitStorage36 used of 90 used limitGPU hours59 used of 70 used limit
Pipeline.Illustrative interface; not live data.

Actuarial and Quantitative Risk · Pipeline. Pipeline: example names and illustrative values, not a record.

02What is shown

Released, referenced and rights-cleared.

  • Time and space reference for every view.
  • Sources and licence.
  • Uncertainty and known limits.
  • Version and date of release.
03Quantitative annex

What a quantitative annex to a dossier contains.

ItemContent
Loss modelFrequency and severity assumptions, or the catastrophe model used
Tail estimateReturn-period losses with confidence intervals
DependenceHow perils, regions and lines are assumed to correlate
ValidationBack-testing, benchmarking and sensitivity results
Professional basisThe actuarial standards followed
04Process

How the process runs.

Process

Reviewed models and scenarios: Catastrophe model pipeline

Catastrophe models usually have hazard, vulnerability, exposure and financial modules, and produce loss tables, average annual loss, exceedance curves, PML and TVaR.

  1. 01 Hazard

    1. 01Event catalogueDataset · Model developerThe hazard module holds a large catalogue of simulated events that represents a wide range of plausible scenarios.
    2. 03Hazard moduleModel · Model developerFor each event the hazard module gives the local hazard intensity that the vulnerability module reads.
  2. 02 Exposure and damage

    1. 02ExposureDataset · Appointed actuaryThe exposure module houses the portfolio data, such as location-specific information.
    2. 04Vulnerability moduleModel · Model developerThe vulnerability module quantifies the expected damage to the exposures from an event.
  3. 03 Financial

    1. 05Financial moduleModel · Appointed actuaryThe financial module calculates losses from all event scenarios. Ground-up, gross and net losses differ as shown below.
    2. 06Event loss tableDataset · Appointed actuaryAn event loss table lists each event with its annual occurrence probability and its loss for the portfolio.
    3. 07Year loss tableDataset · Appointed actuarySome models also sample simulated years from event losses. This outline does not describe their format.
  4. 04 Metrics

    1. 08Exceedance probability curvesModel · Appointed actuaryThe occurrence curve gives the chance that the largest loss in a year exceeds an amount. The aggregate curve does so for the sum of losses.
    2. 09AAL, PML and TVaRModel · Appointed actuaryAverage annual loss sums event probability times loss. PML is one point on the occurrence curve.
  5. 05 Use of results

    1. 10Use of resultsDecision · Appointed actuaryThe tail metrics are used when considering a portfolio’s exposure and the level of catastrophe reinsurance an insurer requires.

Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.

05Standards

Professional standards apply.

Actuarial work follows professional standards: the IAA International Standards of Actuarial Practice and national standards such as the US Actuarial Standards of Practice. Model validation follows supervisory expectations: Solvency II internal model rules, the ICS and, for banks, SR 26-2 and PRA SS1/23. Topic depth at quantitative model validation.

06Status

Releases appear as they are reviewed.

Analysis runs in Foundry; reviewed releases are listed here.

08Questions

Questions and answers.

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