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Duration Gap Dashboard

Metric / dashboard — instantiates Duration-Matched Commitment Design

Shows current and stressed duration gaps, rollover concentrations, coverage floors, and breach triggers.

Version
v1 · 2026-08-24 · History
Mechanism #
2972
Type
Metric or Dashboard
Form family
Monitoring, Sensing & Alerting
Solution family
Scheduling & Pacing
Problem family
Timing, Transition & Path-Dependence Failure
Problem subfamily
Delay, Duration, Decay & Temporal Binding
Origin domain
Economics & Finance
Also from
Accounting & Auditing
Instantiates
Duration-Matched Commitment Design

A Duration Gap Dashboard is a live view of the term structure of a system's mismatch: how far the short clock leads the long clock, where the maturities and renewals pile up, and how close each of those readings sits to the limit that would trip a response. Its defining property is that it renders the time-shape of the exposure — a gap-versus-limit reading across the calendar and a map of where rollover dependence concentrates — and lights up when a reading approaches its threshold. It is a term-structure monitor, not a single adequacy number: it answers "where and when is the mismatch, and is any part of it about to breach?" rather than "is total coverage sufficient?".

Example

A SaaS platform sells enterprise customers three-year service contracts — long, sticky commitments to keep the product running — while renting the compute those contracts depend on through cloud-capacity reservations that renew every ninety days. On paper the business is healthy: annual revenue comfortably exceeds cloud spend. The Duration Gap Dashboard shows what the income statement hides. One panel plots committed customer-months against the horizon over which reserved capacity is locked in, exposing a widening gap — years of promises resting on a quarter of secured infrastructure. A second panel is the rollover map: it shows that roughly 70% of the platform's reserved capacity comes up for renewal in the same three-week window, a concentration that turns one bad renewal negotiation into a platform-wide risk. A third strip is the trigger row: each reading carries an amber and a red threshold, and when the renewal-concentration figure crosses amber, the dashboard flags it for the capacity team weeks before the window opens — early enough to pre-negotiate or diversify.

How it works

  • Plot the gap against its limit. The central reading is the current (and stressed) duration gap shown next to the tolerance line, so the distance to breach is visible at a glance rather than buried in a report.
  • Map rollover concentration. A second view registers where renewals cluster and how correlated those dependencies are, surfacing the single windows where a refresh failure would be systemic.
  • Fire graded early-warning flags. Each reading carries amber/red thresholds; crossing one raises a signal ahead of the actual maturity, converting a lagging metric into a leading one.
  • Refresh continuously. The dashboard is a standing instrument that updates as commitments are added and renewals approach — its value is in the trend and the lead time, not a point-in-time snapshot.

Tuning parameters

  • Threshold placement — how far below the hard limit the amber/red flags sit. Early flags give more reaction time but cry wolf; late flags are precise but leave little runway.
  • Bucketing horizon — how the calendar is sliced (weeks vs. quarters). Fine slices reveal concentration cliffs but add noise.
  • Concentration metric — how rollover clustering is scored (share in worst window, correlation of renewals). The choice determines which risks the map even shows.
  • Refresh frequency — real-time vs. periodic. Frequent updates catch fast-moving stress but can provoke over-reaction to transient blips.
  • Stress overlay — whether gaps are shown at base case only or also under a stressed refresh assumption. The stressed view is more honest but depends on the scenario feeding it.

When it helps, and when it misleads

Its strength is lead time: by showing the gap's shape and lighting up before a maturity actually arrives, it turns duration risk from something discovered at the cliff into something managed weeks ahead. It operationalizes the duration gap concept — the signed difference in timing between what you owe and what backs it — as a watched, thresholded instrument rather than a periodic calculation.[n1]

Its failure mode is that a dashboard shows but does not act, and a vivid display can breed the illusion that a risk is handled merely because it is visible. Readings are only as good as the tenor and renewal data feeding them, so mislabeled maturities produce a confident but wrong picture; and thresholds set by habit rather than analysis can flash constantly (training people to ignore them) or stay dark until it is too late. The classic misuse is watching the gap panel while no one owns the response — alerts pile up, unactioned. The guarding discipline is to wire each red flag to a named owner and a rebalancing lever, and to validate the underlying maturity data on the same cadence the dashboard refreshes.

How it implements the components

  • duration_gap_limit — the dashboard displays the current and stressed gap directly against the declared limit, making distance-to-breach the headline reading.
  • short_side_rollover_dependency_register — its concentration map is the register rendered visually: who must renew, when, and how correlated those renewals are.
  • early_warning_refinancing_signal — graded thresholds turn approaching maturities into leading alerts fired ahead of the event.

This is a term-structure monitor; it does not compute the single coverage-adequacy ratio of liquid capacity against modeled outflows (liquid_coverage_floor, runoff_and_refresh_stress_scenario) — that is its nearest twin, Liquidity Coverage Floor Metric.

Editorial Notes

Form Classification

Form family: Monitoring, Sensing & Alerting

Rationale: Duration Gap Dashboard operates as an ongoing sensing arrangement that repeatedly observes actual state and surfaces changes or alerts because it shows current and stressed duration gaps, rollover concentrations, coverage floors, and breach triggers.

Independent corroboration: The frozen evidence defines Duration Gap Dashboard as 'Shows current and stressed duration gaps, rollover concentrations, coverage floors, and breach triggers', so its operative form is Monitoring, Sensing & Alerting.

Review outcome: Independent reviewer agreement; high confidence.

Origin Attribution

Primary origin: Economics & Finance

Origin pattern: Single lineage

Present-day reach: Specialized

Rationale: Asset-liability management cohered duration-gap analysis for measuring sensitivity created by mismatched asset and obligation timing.

Related originating lineages:

  • Accounting & Auditing — Treasury and balance-sheet reporting supplied reconciled asset, liability, rollover, and coverage data.

Review resolution: Finance is primary because asset-liability duration and rollover mismatch define the dashboard; accounting supplies reconciliation and controlled reporting.

Review outcome: Reconciled after independent review; high confidence.

Notes

[n1] The duration gap is the difference between the weighted-average duration of a system's assets (or resources) and that of its liabilities (or obligations). A positive or negative gap measures how exposed net value is to a timing or rate shock; tracking it over the calendar is the basis of gap analysis in asset-liability management.