On 24 February 2022, Russia launched a full-scale invasion of Ukraine. Within weeks, economic losses in Ukraine were mounting toward hundreds of billions of dollars. Factories were destroyed. Infrastructure was obliterated. Commercial property across eastern Ukraine was reduced to rubble. Almost none of it was insured. The near-universal war exclusion in standard property policies meant that the gap between economic devastation and insured loss was essentially total.
In the same conflict, approximately 400 Western-leased commercial aircraft โ worth USD 10+ billion โ were stranded in Russia when Moscow closed its airspace to Western carriers and refused to return the aircraft to their lessors. Aircraft lessors filed claims under their aviation insurance policies. Insurers responded that the war exclusion applied. Lessors argued their aircraft were not in a combat zone โ they were in hangars. The resulting litigation will likely produce the most significant war exclusion precedent in insurance history.
Meanwhile, in Ethiopia, a civil war between the federal government and Tigray regional forces had been destroying commercial infrastructure since 2020. Several multinational corporations with operations in the Tigray region found that their commercial property coverage was silent on the coverage question โ their policies had not been written with explicit reference to Ethiopian civil war scenarios.
Political violence is the umbrella term for the full range of intentional violence motivated by political objectives. It encompasses terrorism and SRCC at one end, but extends through insurgency, civil war, and interstate conflict at the other. Understanding where on this spectrum a given event falls is not merely academic โ it determines which coverage responds, what exclusions apply, and how losses are modelled.
The war exclusion is the central structural feature of the political violence insurance landscape. Almost every standard property, casualty, and liability policy excludes losses from war, invasion, civil war, revolution, rebellion, insurrection, and military or usurped power. The exclusion exists for three fundamental reasons:
The war exclusion creates the specialist political violence insurance market โ standalone policies that, for an additional premium, provide coverage for some or all of the risks that standard policies exclude. Without the exclusion, there would be no specialist market because the risks would already be covered. The exclusion is therefore not a gap โ it is a deliberate structural boundary that defines where standard markets end and specialist markets begin.
| Event Type | Standard All-Risks Policy | Standard + SRCC Extension | Specialist Political Violence Policy |
|---|---|---|---|
| Riots and looting | Typically excluded | Covered | Covered |
| Terrorism (conventional) | Post-9/11 exclusion common | Usually still excluded | Covered (excl. CBRN) |
| Sabotage | Excluded | Market-dependent | Covered |
| Insurgency / rebellion | War exclusion applies | War exclusion applies | Optional โ explicitly included or excluded |
| Civil war | War exclusion | War exclusion | Can be included in bespoke policy |
| Interstate war | War exclusion | War exclusion | Very limited capacity; specialist only |
| CBRN terrorism | Excluded | Excluded | Excluded (nuclear); very limited capacity for CBR |
The Lloyd's of London market is the global centre for specialist political violence insurance. Lloyd's syndicates have underwritten political violence risk since the market's founding โ marine war risk was among the earliest forms of insurance Lloyd's ever wrote. Today, dedicated political violence syndicates provide capacity for the full spectrum from SRCC extensions through to bespoke war risk covers for multinational corporations operating in active conflict zones.
The specialist market is characterised by three features that distinguish it from standard lines:
Political violence is the most challenging of the man-made perils to model quantitatively. The combination of human intent, political contingency, and the full spectrum from riot to war resists the statistical approaches used for natural perils. The industry uses several complementary approaches.
The foundation is country risk scoring โ quantitative assessment of each country's political violence vulnerability combining governance indicators (World Bank Governance Indicators, Freedom House), conflict databases (ACLED tracks political violence events globally in near-real time), economic vulnerability (GDP per capita, Gini coefficient, food security, inflation), and fragility indices (the Fragile States Index, State Fragility Index). Country risk scores inform both underwriting decisions and pricing relativities across geographies.
Given the limitations of statistical approaches, political violence models use a scenario library โ a collection of plausible scenarios for each country or region, each with an estimated annual probability and a loss footprint calibrated to historical analogues. Examples: a "Chile-style urban unrest" scenario for a Latin American capital with high inequality and low institutional trust; a "Nairobi election violence" scenario for an East African city with a contested election cycle; an "armed insurgency in the Sahel" scenario for a West African country with jihadist activity. Each scenario defines the geographic footprint, property types affected, damage mechanisms, and disruption duration. Applied to the insurer's geocoded exposure data, these scenarios produce loss estimates that can be arranged into an EP curve for political violence risk.
A distinctive feature of political violence risk is the potential for correlated losses across countries โ driven by regional conflict spillovers, global protest contagion, and shared underlying drivers (commodity price shocks, climate-driven food insecurity, global recession). The Sahel conflict โ where instability has progressively spread across Mali, Burkina Faso, Niger, and neighbouring countries โ is the contemporary example. Country-by-country modelling treats these as independent risks; the most sophisticated political violence models incorporate regional correlation factors that link country risks to common drivers.
A growing body of research links climate change to political violence risk through resource competition (water, arable land), food insecurity from drought and crop failure, and forced migration creating political tensions in receiving communities. The Sahel is the most prominent current example โ desertification advancing, agricultural livelihoods collapsing, jihadist insurgencies expanding. For political violence cat modellers, climate change is not just a physical peril driver โ it is an indirect driver of the man-made perils in this module, shifting the geography of political violence risk as climate stress expands into previously stable regions.
Hybrid warfare โ combining conventional military force, cyber operations, information warfare, economic coercion, and proxy forces while maintaining plausible deniability โ creates profound challenges for coverage determination. When a state sponsors a cyber attack causing physical damage to another state's infrastructure, or when proxy forces conduct operations that could be attributed to either a terrorist group or a state sponsor, the application of war exclusions and terrorism coverage becomes genuinely ambiguous. The Russia-Ukraine conflict has demonstrated multiple dimensions of this hybrid approach โ from pre-2022 cyber attacks on Ukrainian infrastructure to the attribution questions around separatist forces in eastern Ukraine. Coverage disputes arising from hybrid warfare scenarios are likely to define a generation of political violence insurance case law.
The umbrella insurance term covering the full spectrum of intentional violence motivated by political objectives โ from civil unrest and terrorism through insurgency and civil war to interstate conflict. Defines the scope of the specialist political violence insurance market and the range of risks excluded from standard policies under war exclusions.
A standard clause in virtually all property, casualty, and liability policies excluding losses arising from war, invasion, civil war, revolution, rebellion, insurrection, and military or usurped power. The structural boundary that defines where standard insurance ends and the specialist political violence market begins. Its application in hybrid warfare and ambiguous conflict scenarios is among the most litigated issues in international insurance law.
Organised armed political violence by non-state actors seeking to overthrow or destabilise a government through guerrilla tactics and asymmetric warfare. Coverage under standard policies is ambiguous โ insurgency may or may not trigger war exclusions depending on policy wording and legal interpretation. Specialist political violence policies can explicitly include or exclude insurgency coverage.
A policy wording negotiated individually between underwriter and broker rather than following a standard form. Common in specialist political violence insurance because the precise definition of covered and excluded events has material financial consequences in contested claims scenarios. The boundary between "insurrection" and "civil war" in a manuscripted wording may determine coverage of millions of dollars of loss.
Armed Conflict Location and Event Data Project โ a global database tracking political violence events in near-real time, including battles, explosions, riots, and protests. Provides both historical calibration data for country risk models and current situational awareness for underwriters monitoring active conflict zones. One of the primary data sources for political violence cat modelling.
The combination of conventional military force, cyber operations, proxy forces, information warfare, and economic coercion to achieve political objectives while maintaining state deniability. Creates coverage determination ambiguity โ losses from hybrid warfare operations may simultaneously raise questions about war exclusion applicability, terrorism coverage, cyber policy response, and property damage triggers.
An annual assessment (Fund for Peace) ranking countries by their vulnerability to instability and collapse, combining cohesion, economic, political, and social indicators. Used as a primary input to country risk scoring in political violence cat models. Countries in the elevated and high fragility categories represent the primary concentration of political violence underwriting risk globally.
The indirect pathway from climate change to political violence risk โ through resource competition, food insecurity, and displacement โ rather than direct physical peril effects. The Sahel region is the current paradigm case. Requires political violence cat models to incorporate climate projections as an upstream driver of country risk scores, not just as a separate physical peril.
Terrorism, SRCC, and political violence exist on a continuum โ from individual terrorist acts through collective civil unrest to organised armed conflict. In practice, a single episode of instability can involve all three: protests (SRCC) escalate to politically motivated directed violence (political violence), and individual attacks within that context meet the legal definition of terrorism. The skilled practitioner understands the legal distinctions that determine coverage, the physical damage mechanisms that drive losses, and the social and political dynamics that determine frequency and severity across the full spectrum.