Research26 Feb 2026

Solvency II’s Success and the Structural Gap in Strategic Risk Governance

Analyzing the limitations of capital-based risk frameworks and the need for structural instability measurement in modern risk governance.

Solvency II has been one of the most significant advances in insurance regulation over the past two decades.

Its three-pillar structure, combining quantitative capital requirements, governance discipline, and transparency, has materially improved risk management standards across European markets.

At the same time, its implementation has become emblematic of regulatory density. Internal model applications have reached extreme levels of documentation, highlighting the operational complexity of the framework.

The system has introduced rigor, comparability, and discipline.

However, it was designed to address a specific category of risk.


What Solvency II Does Exceptionally Well

Pillar 1 quantifies capital under defined assumptions, translating identifiable risks into mathematical distributions.

Pillar 2 embeds governance discipline, internal controls, and structured risk processes.

In relatively stable environments, where risks are bounded and measurable, the framework performs as intended. Outputs are technically rigorous and regulatorily defensible.

It strengthens the first layer of risk governance.

It formalizes uncertainty.

It enforces structure.

But structure is not equivalent to resilience.


Where the Structural Challenge Begins

The primary limitation is not within the framework itself, but in the nature of the risks it was designed to address.

Structural instability does not originate within capital ratios. It develops upstream, within the broader environment.

Instability emerges through:

  • Acceleration of political discourse
  • Clustering of narratives around emerging risks
  • Shifts in expectations influencing markets

By the time these dynamics are reflected in solvency metrics, the underlying environment may already have shifted.

Solvency metrics react to stress.

Structural instability forms before that reaction becomes visible.


The Board-Level Perspective

Boards operate beyond probability distributions.

They assess structural exposure, geopolitical shifts, and strategic trajectory over multi-year horizons.

The key question is not limited to current capital adequacy under defined scenarios.

It is whether the scenario framework itself remains valid.

Internal models generate probabilities.

They do not provide responses when underlying assumptions lose relevance.

This reflects a limitation of scope, not of methodology.


First Order and Second Order Risk

Risk governance can be understood across two layers.

The first layer operates within established models and processes. Solvency II has significantly strengthened this domain.

The second layer evaluates how the broader system evolves around those models.

This second layer remains comparatively underdeveloped.

The gap between regulatory architecture and strategic decision-making persists.

This is the structural gap.


The Missing Layer: Structural Instability

Capital models quantify risk within defined assumptions.

Structural instability emerges outside those assumptions.

It manifests through:

  • Political escalation
  • Narrative acceleration
  • Clustering of discourse around new themes
  • Shifts in expectations preceding financial repricing

By the time these signals are captured in solvency metrics, regime transition may already be underway.

A resilience-oriented framework requires earlier visibility.


Where Skarnode Operates

Skarnode operates at the boundary between measurable risk and emerging structural instability.

The approach focuses on quantifying volatility within the information environment across:

  • Countries
  • Assets
  • Sectors
  • Thematic exposures

Institutions can construct dedicated volatility indexes tailored to specific areas of concern and monitor how instability evolves over time.

These indexes can be analyzed comparatively to identify:

  • Correlation patterns
  • Divergence signals
  • Cross-domain stress transmission

The objective is not prediction.

It is situational awareness.

The ability to distinguish between volatility within a stable regime and early signals of regime transition.


Beyond Capital Adequacy

Solvency II provides a robust framework for quantifying known risks.

However, in increasingly unstable environments, resilience requires visibility beyond calibrated assumptions.

The gap is structural.

It is widening.

Addressing it requires analytical tools capable of complementing capital models while extending risk perception into the dynamics of the information environment.