PlumBot: Bot: Creating new article from JSON

2026-03-10T13:55:14Z

Bot: Creating new article from JSON

New page

📄 '''Statement of values (SOV)''' is the standardized schedule of insured property assets — including their locations, replacement costs, and key risk characteristics — that forms the backbone of every [[Definition:Commercial property insurance | commercial property]] submission and renewal. Known universally across the industry by its abbreviation, the SOV translates a policyholder's real-world asset portfolio into a structured dataset that [[Definition:Underwriter | underwriters]], [[Definition:Broker | brokers]], and [[Definition:Catastrophe model | catastrophe modelers]] can analyze, price, and aggregate. Whether a company operates five warehouses or five hundred retail locations, the SOV is the single document that ties physical exposures to financial values.

⚙️ Constructing an SOV requires the policyholder or their [[Definition:Risk manager | risk manager]] to compile detailed attributes for every insured site: street address, building construction class, occupancy type, year built, square footage, replacement cost of the structure, value of contents, and projected [[Definition:Business interruption insurance | business income]] exposure. This data feeds into the underwriter's pricing algorithms and into [[Definition:Catastrophe model | catastrophe models]] from vendors such as Verisk, Moody's RMS, or CoreLogic, where each location is geocoded and stress-tested against simulated natural disaster scenarios. During [[Definition:Reinsurance | reinsurance]] placements, the cedent's aggregated SOV data is shared with [[Definition:Reinsurer | reinsurers]] so they can assess [[Definition:Probable maximum loss (PML) | probable maximum loss]] and set treaty terms accordingly. Errors or gaps in the SOV ripple through the entire chain, distorting [[Definition:Premium | premium]] calculations, cat model outputs, and ultimately claims settlements.

🔑 The SOV's significance extends far beyond a simple administrative checklist. Regulators and [[Definition:Rating agency | rating agencies]] scrutinize the quality of an insurer's exposure data — much of which originates in SOVs — when evaluating [[Definition:Capital adequacy | capital adequacy]] and [[Definition:Enterprise risk management (ERM) | enterprise risk management]] practices. On the [[Definition:Insurtech | insurtech]] front, a growing ecosystem of startups and platform providers now offers automated SOV ingestion, cleansing, and enrichment tools that use machine learning to standardize messy spreadsheets, flag valuation anomalies, and append third-party data such as building permits or updated construction costs. Cleaner SOV data ultimately means more accurate [[Definition:Risk selection | risk selection]], tighter portfolio management, and fewer surprises when large [[Definition:Loss | losses]] strike.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Commercial property insurance]]
* [[Definition:Catastrophe model]]
* [[Definition:Probable maximum loss (PML)]]
* [[Definition:Replacement cost]]
* [[Definition:Business interruption insurance]]
* [[Definition:Exposure management]]
{{Div col end}}

Definition:Statement of values (SOV) - Revision history

PlumBot: Bot: Creating new article from JSON