โ† Man-Made Perils /M.3 โ€” Political Violence
MAN-MADE PERILS ยท M.3

Political Violence

๐Ÿ“– ~25 min ยท 3 micro-checks ยท Spectrum ยท War exclusion ยท Coverage structure ยท Lloyd's specialist market ยท Modelling ยท Emerging risks
// Where Coverage Ends and the Gap Begins

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.

What is the political violence spectrum, how does the war exclusion structure the coverage landscape across it, and what specialist insurance market fills the gaps that standard policies leave?

The Political Violence Spectrum

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.

Civil Unrest / SRCC Collective crowd violence โ€” strikes, riots, looting, protest-driven property damage. Typically covered under SRCC extensions to standard property policies. Highest frequency, typically lower per-event severity than conflict events.
Terrorism Small-group clandestine violence with political motivation. Covered under terrorism endorsements or specialist terrorism policies; government backstops (TRIA, Pool Re, GAREAT) active in major markets. CBRN attacks typically excluded.
Insurgency Organised armed non-state groups fighting a government. Sustained geographic disruption, supply chain severance, direct property destruction. Coverage ambiguous in standard policies โ€” insurgency may or may not trigger war exclusions depending on wording and jurisdiction.
Civil War Large-scale armed conflict within a state. Almost universally excluded from standard policies under war exclusions. Available under specialist political violence policies from London market. Economic loss substantially exceeds insured loss in virtually all civil wars.
Interstate War Armed conflict between sovereign states. Excluded from all standard property, liability, and casualty policies under the war exclusion. Limited specialist capacity available for some exposed industries. Russia-Ukraine generating landmark coverage dispute precedents.
Micro-Check ยท Before You Continue

In 2011, Libya's political crisis escalated from civil protests (February) through armed clashes (March) to NATO air operations supporting rebel forces (April). An insurer holds commercial property policies on three Libyan oil infrastructure assets โ€” all written on standard all-risks property forms with an SRCC extension and standard war exclusion. Each asset suffers physical damage in a different phase of the conflict. How does the spectrum classification problem affect the coverage determination for each asset?

The coverage determination depends critically on which phase of the conflict caused each loss โ€” and whether the policy's definitions of SRCC, civil commotion, insurrection, civil war, and war map onto the legal and factual characteristics of the conflict at the time of each loss.

Asset damaged in February (civil protest phase): the damage may be covered under the SRCC extension if the event meets the definition of riots or civil commotion. This is the clearest coverage case โ€” large-scale civil unrest with no organised armed opposition yet.

Asset damaged in March (armed clashes between government and rebel forces): this is the hardest case. Is this organised armed insurgency (potentially triggering the war exclusion) or civil commotion at a higher level of intensity (potentially covered under the SRCC extension)? The legal definition of war โ€” which typically requires organised military forces on both sides โ€” may not have been met in March's early armed clashes, but the transition zone is genuinely ambiguous. This is exactly the kind of dispute that ends up in front of a court.

Asset damaged in April (NATO air operations): this falls much more clearly within the war exclusion. NATO member state air forces conducting combat operations under UN Security Council authorisation against Gaddafi government military assets constitutes a state of armed conflict between organised military forces โ€” the paradigm case for war exclusion application. The coverage is almost certainly excluded.

The spectrum problem is that a single conflict escalated through all three phases in weeks โ€” and the insurer's coverage response depends on precisely which day each asset was damaged relative to the legal characterisation of the conflict at that moment. This ambiguity is not resolvable from the policy text alone and typically requires legal adjudication.

The War Exclusion โ€” Why It Exists and What It Creates

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.

What Standard Policies Cover vs What Specialist Policies Add

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 Specialist Political Violence Market

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:

Micro-Check ยท Before You Continue

A Lloyd's political violence underwriter is reviewing her syndicate's aggregate exposure in a West African country where a military coup occurred three months ago. The syndicate has USD 340M of aggregate exposure across 22 policies covering industrial, mining, and commercial property. The coup government has been recognised by some neighbouring states but not by the UN or Western governments. No armed conflict has occurred, but political uncertainty is high and the risk of conflict is assessed as elevated. What are the three most important underwriting actions the syndicate should take โ€” and what information does the underwriter need to take each action?

Three actions are essential.

First, aggregate exposure review: the underwriter should map the USD 340M across the country by geographic sub-region (capital city versus mining belt versus coastal ports) and by insured type (industrial versus commercial versus infrastructure). A coup in the capital does not create uniform risk across the country โ€” mining operations in a remote northern region may face different risk profiles from commercial property in the capital's central business district. This review requires the geocoded exposure data from all 22 policies.

Second, coverage trigger analysis: the underwriter should review each policy's wording to establish what events would trigger claims in a deteriorating scenario. Specifically: does the wording cover losses from coup-related violence that has not yet occurred? Does it cover losses from a subsequent counter-coup or armed resistance? Is there a change-of-government clause that alters coverage upon regime change? What is the war exclusion trigger โ€” does it require UN recognition of a state of war, or is it self-defining based on facts? This requires policy wording review across all 22 accounts.

Third, renewal strategy and aggregate reduction: for policies renewing in the next six months, the underwriter needs to decide whether to renew, at what premium adjustment reflecting the elevated risk, and whether to reduce sub-limits or introduce new exclusions for coup-related events. For policies mid-term, she should review whether any market cancellation provisions or change-in-risk notification obligations apply. The information needed: renewal dates for each policy, current premium adequacy assessment relative to revised country risk score, and legal advice on mid-term rights in the governing law jurisdiction of each policy.

Political Violence Cat Modelling

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.

Country Risk Scoring

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.

Scenario Library

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.

Regional Correlation

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.

Emerging Political Violence Risks

Climate-Conflict Nexus

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

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.

Micro-Check ยท Before You Continue

Having studied all three man-made perils in this module โ€” terrorism, SRCC, and political violence โ€” a practitioner is reviewing a new submission for a multinational food and beverage company with operations in seven countries: the United States, the United Kingdom, Chile, South Africa, Nigeria, Ethiopia, and Ukraine. The company's current insurance programme is a standard global all-risks property policy with an SRCC extension, written on a London market form. Without yet looking at the specific policy wording, identify the three countries where the current coverage structure is most likely to leave material man-made peril exposure uninsured โ€” and explain the gap for each.

Three countries present the clearest material uninsured man-made peril exposure:

Ukraine โ€” the most straightforward gap. An interstate war is in active progress. Standard property policies (all-risks) and SRCC extensions both exclude losses from war and invasion. Commercial property damage from Russian military operations โ€” the dominant loss risk for any Ukrainian operations โ€” is excluded from the current programme entirely. Specialist war risk coverage from the London market would be needed to fill this gap, and capacity for Ukrainian risks has been extremely limited and expensive since 2022. The company's Ukrainian operations are effectively uninsured for the primary current risk.

Ethiopia โ€” the less obvious but significant gap. Ethiopia has experienced civil conflict (the Tigray War) and ongoing instability in multiple regions. Losses from organised armed conflict between government forces and regional militias may trigger the war exclusion even though Ethiopia is not in a formally declared interstate war. The SRCC extension covers riots and civil commotion but not organised armed conflict โ€” and the boundary between "civil commotion" and "armed insurgency" in an Ethiopian context is precisely the kind of ambiguous classification that generates coverage disputes. Operations in conflict-affected regions have material uninsured exposure to losses from armed activity that may not qualify as SRCC and is excluded as war or insurrection.

Nigeria โ€” the subtlest gap. Nigeria faces active Islamist insurgency in the northeast (Boko Haram / ISWAP), banditry and armed conflict in the northwest and north-central states, and periodic communal violence across the country. Standard SRCC extensions cover riots and civil commotion; they do not cover organised armed insurgency or banditry where the activity constitutes armed conflict rather than civil disorder. For a food and beverage company with distribution operations across northern Nigeria, the risk of loss from armed group activity โ€” the dominant physical risk in several operational areas โ€” may fall into the gap between SRCC coverage (civil disorder) and war exclusion (organised armed conflict). A specialist political violence policy with explicit insurgency coverage would be required to address this gap.

Key Terms

Political Violence

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.

War Exclusion

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.

Insurgency

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.

Manuscripted Wording

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.

ACLED

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.

Hybrid Warfare

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.

Fragile States Index

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.

Climate-Conflict Nexus

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.

// The Three Lessons Together

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.