Our documentation has been updated with details on Phase 2, how coverage works, claims payouts, and more.
For the complete documentation index, see llms.txt. This page is also available as Markdown.

Capital Adequacy

Capital adequacy is the portfolio-level discipline that keeps Firelight solvent across all the coverage it writes. This page describes the full framework: available capital, effective leverage, the Solvency Capital Requirement, and the Capital Adequacy Ratio that ties them together.

The capital adequacy equation

The central metric is the Capital Adequacy Ratio:

CAR = Available Capital ÷ Solvency Capital Requirement

Term
Definition

Available Capital

First-loss buffer (in USD) + market value of staked assets

Solvency Capital Requirement

The capital the protocol must hold against its in-force coverage

A higher CAR means more capital backing each dollar of coverage. Firelight targets CAR between 1.5 and 2.0 in steady state, and between 1.75 and 2.0 at the feature-complete launch.

The Solvency Capital Requirement reflects two things: a coverage-over-leverage component (driven by how much coverage is in force and the protocol's effective leverage) and a portfolio expected-loss component drawn from the live economic and technical views of every covered market. The portfolio-EL term is what makes capital adequacy responsive to the actual monitored risk of the book, not just its size.

CAR bands and actions

Every portfolio state falls into one of five bands:

CAR level
Status
Action

2.0 or above

Strong

Normal operations. Capacity available for growth

1.5 to 1.99

Adequate

Normal operations. Maintain monitoring

1.2 to 1.49

Watch

Enhanced monitoring. Restrict new coverage

1.0 to 1.19

Warning

Suspend new coverage except renewals.

Below 1.0

Critical

Reduce renewal coverage. Implement capital restoration plan

The matching engine enforces these bands on-chain: capacity that would push CAR below the 1.2 floor cannot be allocated. Manual intervention is possible for edge cases but the baseline protection is automatic.

Effective leverage framework

Effective leverage is the bridge between available capital and coverage capacity. It is bounded by explicit floor and ceiling values, with a target range in between:

Parameter
Value

Minimum leverage

1.5x

Maximum leverage

5.0x

Target operating range

2.5x to 4.0x

Launch operating range

2.0x to 2.5x

Effective leverage moves within these bounds based on portfolio diversification.

Effective Leverage = Nominal Leverage × Diversification Factor

Where Nominal Leverage is the unadjusted ratio of total coverage to available collateral, and the Diversification Factor adjusts for portfolio concentration.

Diversification Factor in depth

The Diversification Factor (DF) sits between 0 and 1. Higher values indicate greater diversification and allow higher effective leverage.

DF is calculated from weighted concentration scores across the portfolio's layers.

Concentration is measured across four dimensions:

Dimension
Metric
Effect on DF

Protocol

Herfindahl-Hirschman Index (HHI) of protocol exposure

Lowers DF when concentrated in a small number of protocols

Asset

HHI of underlying asset exposure

Lowers DF when coverage concentrates in one asset class

Exposure group

Maximum single exposure group as % of portfolio

Penalizes concentration in correlated clusters (for example, shared oracle dependencies)

Strategy

HHI of strategy types

Lowers DF when coverage concentrates in a single strategy pattern

HHI concentration bands

HHI range
Concentration level
Score contribution

0 to 1,500

Low (diversified)

0.0 to 0.2

1,500 to 2,500

Moderate

0.2 to 0.5

2,500 to 4,000

High

0.5 to 0.8

Above 4,000

Very high

0.8 to 1.0

Realized DF in practice

Practical Diversification Factors typically fall between 0.5 and 0.7, producing effective operating leverage of 2.0x to 3.5x for a well-managed portfolio. Pushing DF higher than 0.7 requires a genuinely diverse portfolio across protocols, assets, and strategies, which is hard to achieve given the concentrated nature of DeFi liquidity..

Stress testing

Because part of available capital is denominated in volatile assets, price drawdowns can push CAR lower without any claim activity. The protocol continuously stress-tests CAR against collateral drawdown scenarios:

Drawdown scenario
Post-drawdown CAR behavior

0 to 15%

CAR remains in Adequate band

15 to 30%

CAR drifts toward the Watch band

30 to 40%

CAR enters Watch, approaches Warning

40 to 55%

CAR enters Warning. New coverage paused

55%+

CAR enters Critical. Renewals also restricted

These bands assume a specific starting leverage and buffer size. As portfolio diversification improves, CAR becomes more resilient to the same drawdown percentage.

The self-correcting mechanism

CAR, leverage, and diversification interact in a self-correcting loop:

  • Improving diversification raises DF, raises effective leverage, lowers the Solvency Capital Requirement, and improves CAR.

  • Rising concentration lowers DF, tightens effective leverage, raises the Solvency Capital Requirement, and deteriorates CAR.

This means the protocol naturally slows down when it is carrying too much concentrated risk, and accelerates when the portfolio is well balanced.

Dynamic incentives during drawdowns

During periods of collateral drawdown, the protocol can temporarily increase base rate emissions to attract incremental capital. This supports capital restoration without impairing existing coverage obligations. The mechanism is a demand-side response to improve CAR rather than a forced reduction of coverage.

Why Firelight operates conservatively at launch

At the feature-complete launch, Firelight will:

  • Operate with a modest portfolio (relatively concentrated by HHI standards).

  • Carry a conservative CAR target of 1.75 to 2.0.

  • Operate well within the 2.0x to 2.5x leverage band.

This produces significant capital headroom and means that even severe collateral drawdowns (50% or more) would not immediately threaten in-force coverage obligations. As diversification improves over time, the protocol can move toward its target operating range.

  • Risk and Exposure explains how these mechanics affect stakers.

  • Pricing covers how leverage and capital cost feed into premium.

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