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Property Reinsurance

Sharing the risk of property damage from natural perils and fire, per-risk and catastrophe structures.

P&C

Property portfolios face both attritional per-risk losses and low-frequency, high-severity catastrophes. Power Re combines per-risk excess of loss with catastrophe cover, priced with exposure curves and cat modeling.

Power Re approaches this line as a specialist: we assess each risk on its own merits, price it with actuarial rigor, and structure cover that genuinely fits the cedant’s exposure and objectives, never a one-size template.

Structures

How we structure it

The structures we most often deploy for this line, proportional and non-proportional, tailored to your book.

Per-Risk XoL

Protects against large single-risk losses above a retention.

Catastrophe XoL

Covers accumulation from a single natural-peril event.

Proportional

Quota-share and surplus capacity for portfolio growth.

Risk

Key risks & considerations

What we focus on when we underwrite this line.

  • Catastrophe accumulation, quake, wind, flood, and clash.
  • Per-risk severity on large industrial risks.
  • Data quality on TIV, geocoding and construction.

Our appetite

Property books with credible exposure data and catastrophe-model inputs.

Technical note

Per-risk XoL is priced with exposure curves (MBBEFD); catastrophe XoL is calibrated with cat models and layered by return period.

Models

Actuarial modeling

The frequency and severity models we use to price this line, and the loss it aggregates to.

Frequency models
PoissonNegative binomial
Severity models
LognormalParetoGeneralized Pareto (EVT tail)
Collective risk model
$$E[S]=E[N]\,E[X],\quad \operatorname{Var}(S)=E[N]\operatorname{Var}(X)+\operatorname{Var}(N)\,E[X]^2$$
Frequency and severity combined into aggregate loss S; heavy tails modeled with Pareto or the GPD, and layers priced with exposure curves.

Severity models

Severity modelTypical use
LognormalBody of the loss distribution, attritional claims
GammaModerate, positively skewed claims
ParetoLarge claims and heavy tails
Generalized Pareto (EVT)Extreme tail above a high threshold
Deep dive

Property modeling in depth

Exposure curves allocate a risk’s expected loss across layers.

1. Exposure curves

An exposure curve \(G(x)\) gives the expected share of a risk’s total loss that falls below a retention equal to the fraction x of its maximum probable loss (MPL). The share of loss ceded to a layer between fractions a and b is simply the difference of the curve.

Exposure curve and layer share
$$G(x)=\frac{E[\min(Y,x)]}{E[Y]},\qquad \text{share}_{[a,b]}=G(b)-G(a)$$

The industry-standard family for property is the MBBEFD (Bernegger) curve, controlled by a single parameter that sets how heavy the tail is: the larger the parameter, the more the large risks contribute to the high layers.

2. An illustrative curve

Fraction x of MPLExposure curve G(x)
0.10.45
0.20.63
0.30.74
0.50.87
0.80.96
1.01.00

Illustrative exposure curve. Property pricing uses fitted MBBEFD (Bernegger) or Swiss Re curve families.

3. Allocating loss to a layer

Worked example

A property risk has an MPL of 10000 and an expected ground-up loss cost of 200. A layer covers from 3000 to 8000, that is fractions \(a=0.3\) to \(b=0.8\). Using the curve above, the share to the layer is \(G(0.8)-G(0.3)=0.96-0.74=0.22\); the layer’s expected loss is \(0.22\times 200=44\).

4. Per-risk vs catastrophe

Exposure curves price the per-risk layers. Natural-catastrophe accumulation is priced separately with catastrophe models, which produce a return-period loss curve (the exceedance-probability curve) for the whole portfolio. See exposure curves and capital & solvency.

Discipline

Our underwriting approach

The discipline is the same across every line we write.

Risk selection

We assess each risk on its merits and let marginal business go, growth by quality, not volume.

Pricing discipline

Experience and exposure rating, credibility-weighted, load the price for volatility and cost of capital.

Accumulation control

Clear limits manage concentration by event, geography and cedant across the portfolio.

Claims partnership

Fast, fair and transparent claims handling, the moment our promise is tested.

Why Power Re

Why cede Property Reinsurance to Power Re

  • Specialist expertise

    Deep technical knowledge of the line and of the Latin American market.

  • Fast, clear decisions

    A timely yes or no, with terms and capacity you can rely on.

  • Financial strength

    13× regulatory solvency coverage and a disciplined retrocession program.

  • Long-term partnership

    We co-design programs and stand with cedants through the cycle.

Let’s build resilient portfolios together

Partner with a reinsurer that combines technical discipline, financial strength and deep regional insight.

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