Aligning Risk and Reality: Reflecting Roof Actual Cash Value in Severe Convective Storm Risk for Homeowners

Aligning Risk and Reality: Reflecting Roof Actual Cash Value in Severe Convective Storm Risk for Homeowners
July 16, 2026 5 mins

Aligning Risk and Reality: Reflecting Roof Actual Cash Value in Severe Convective Storm Risk for Homeowners

Aligning Risk and Reality: Reflecting Roof Actual Cash Value in Severe Convective Storm Risk for Homeowners

Roof ACV is reshaping how insurers manage severe convective storm risk by reducing loss severity and premiums. The report examines impacts on claims, pricing, and catastrophe modeling for insurers and reinsurers.

Key Takeaways
  1. Material loss reduction: Roof ACV reduces average SCS claim severity by ~30%.
  2. Affordability gains: Premiums can drop up to ~38%, helping maintain coverage in high-risk regions.
  3. Modeling gap: Catastrophe models often overstate losses by assuming replacement cost, requiring ACV adjustments.

SCS Loss Pressure

Severe convective storms (SCS) have become the dominant driver of insured catastrophe loss in the U.S. and a growing concern globally. This was especially pronounced in 2023 – 2025 which cumulatively totalled $164B in US SCS insured losses and were the top three insured loss years for the peril on record, according to Aon’s 2026 Climate and Catastrophe Insight. The US has experienced a persistent rise in SCS losses that are driven by exposure growth rather than fundamental changes in weather and climate patterns. For instance, expanding urban bullseyes such as the Dallas/Fort Worth metroplex have increased population and housing counts by nearly 50% since the year 2000, materially increasing the likelihood of a significant SCS event impacting the industry. A significant portion of that exposure is protected by asphalt shingle roofing material which becomes much more vulnerable to hail and wind damage as early as eight years after installation.

In this environment of rising loss costs and aging roofs, insurers are under pressure to manage volatility while preserving affordability. One prominent response has been the deployment of roof Actual Cash Value (ACV) endorsements, which limit claim payments for roof damage to depreciated values rather than full replacement cost.

Analysis: Quantifying the Impact of Roof ACV

Our analysis of claims data from seven regional insurers examines the impact of roof ACV endorsements on residential losses. Comparing otherwise similar policies with and without roof ACV terms over 77 key events from the last 5 years, we observed a ~30% reduction in average claim severity across all surveyed clients for SCS.

Distribution of Average Severity Reduction by Event for Client Claims Data
Roof ACV Severe Convective Storm Risk Homeowners Chart 1

In parallel, a review of 29 public rate filings in states with significant SCS exposure indicates that carriers are recognizing lower expected losses through premium differentiation. There is meaningful credit in premiums as the age of the roof increases, with the average credit for a roof at the end of its lifespan reaching 38%. While each carrier’s rating algorithm is unique, filings consistently present roof ACV as a key lever to restore SCS rate adequacy by offering lower premiums in exchange for higher roof loss cost sharing.

Premium Credit for Policies with Roof ACV

Roof ACV Severe Convective Storm Risk Homeowners Chart 2

Taken together, the claims and filing evidence suggest that the market is pricing for a substantial reduction in expected SCS loss where roof ACV is in force, but the catastrophe models used to inform pricing, underwriting, and reinsurance decisions have not yet caught up.

Integrating Roof ACV into Catastrophe Modeling

Most commercially available catastrophe models assume replacement cost coverage for residential roofs and do not differentiate policies with roof ACV endorsements. This mismatch can lead to overstated SCS loss costs and PMLs, particularly for hail. Over time, the goal should be to move toward more explicit treatment of policy conditions within catastrophe models so that roof ACV and other key loss limiting policy terms are reflected directly in the financial module. Several major model vendors are actively implementing roof ACV depreciation schedules into their modeling frameworks, but these are unlikely to influence 2027 placements given the timing of expected release.

Take Action: Modeled hail losses should be adjusted by 30% for policies with roof ACV reflecting observed claims experience. Where data allows, these adjustments can be refined by basic roof characteristics such as age and material.

Better quantification of modeled losses will improve risk selection and pricing, reinsurance pricing and risk transfer decisions, and capital allocation and earnings risk management.

Balancing Risk Management and Affordability

Roof ACV endorsements are not a panacea; they shift a greater share of roof replacement cost back to homeowners, particularly those with older roofs. However, in an era where SCS has become the leading driver of insured catastrophe losses and exposure growth continues to amplify volatility, roof ACV offers carriers a mechanism to:

  • Stabilize SCS loss experience in hail prone regions;
  • Support more sustainable pricing, enabling insurers to continue offering coverage in high hazard markets; and
  • Offer lower premiums to price-sensitive policyholders who are willing to accept depreciated roof settlements

For the (re)insurance industry, the implication is clear: as roof ACV adoption grows, failure to reflect its impact in SCS loss projections risks mispricing, misallocation of capacity, and missed opportunities to deploy more affordable, resilient coverage solutions. Embedding data-driven roof ACV adjustments into SCS modeling is an important step toward aligning modeled views of risk with the way policies are written and priced in today’s market.

General Disclaimer

This document is not intended to address any specific situation or to provide legal, regulatory, financial, or other advice. While care has been taken in the production of this document, Aon does not warrant, represent or guarantee the accuracy, adequacy, completeness or fitness for any purpose of the document or any part of it and can accept no liability for any loss incurred in any way by any person who may rely on it. Any recipient shall be responsible for the use to which it puts this document. This document has been compiled using information available to us up to its date of publication and is subject to any qualifications made in the document.

Terms of Use

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