Sharing the risk of property damage from natural perils and fire, per-risk and catastrophe structures.
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.
The structures we most often deploy for this line, proportional and non-proportional, tailored to your book.
Protects against large single-risk losses above a retention.
Covers accumulation from a single natural-peril event.
Quota-share and surplus capacity for portfolio growth.
What we focus on when we underwrite this line.
Property books with credible exposure data and catastrophe-model inputs.
Per-risk XoL is priced with exposure curves (MBBEFD); catastrophe XoL is calibrated with cat models and layered by return period.
The frequency and severity models we use to price this line, and the loss it aggregates to.
| Severity model | Typical use |
|---|---|
| Lognormal | Body of the loss distribution, attritional claims |
| Gamma | Moderate, positively skewed claims |
| Pareto | Large claims and heavy tails |
| Generalized Pareto (EVT) | Extreme tail above a high threshold |
Exposure curves allocate a risk’s expected loss across layers.
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.
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.
| Fraction x of MPL | Exposure curve G(x) |
|---|---|
| 0.1 | 0.45 |
| 0.2 | 0.63 |
| 0.3 | 0.74 |
| 0.5 | 0.87 |
| 0.8 | 0.96 |
| 1.0 | 1.00 |
Illustrative exposure curve. Property pricing uses fitted MBBEFD (Bernegger) or Swiss Re curve families.
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 \(0.22\times 200=44\).
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.
The discipline is the same across every line we write.
We assess each risk on its merits and let marginal business go, growth by quality, not volume.
Experience and exposure rating, credibility-weighted, load the price for volatility and cost of capital.
Clear limits manage concentration by event, geography and cedant across the portfolio.
Fast, fair and transparent claims handling, the moment our promise is tested.
Deep technical knowledge of the line and of the Latin American market.
A timely yes or no, with terms and capacity you can rely on.
13× regulatory solvency coverage and a disciplined retrocession program.
We co-design programs and stand with cedants through the cycle.
Partner with a reinsurer that combines technical discipline, financial strength and deep regional insight.
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