Rate on Line (ROL) Calculator
Calculation Results
Rate on Line (ROL): %
Payback Period: Years
The Rate on Line indicates the cost of the coverage as a percentage of the total limit provided.
Understanding Rate on Line (ROL) in Reinsurance
In the world of insurance and reinsurance, the Rate on Line (ROL) is a fundamental metric used to determine the cost of a reinsurance contract. It represents the ratio of the premium paid to the total amount of coverage (the limit) provided by the reinsurer.
The Rate on Line Formula
Calculating the ROL is straightforward. The formula is:
Why ROL Matters
The ROL is a quick way for underwriters and brokers to compare the relative cost of coverage across different layers or programs.
- Pricing Benchmark: It allows for a standardized comparison of costs regardless of the absolute dollar amounts involved.
- Inverse Relationship: The inverse of the ROL is the "Payback Period." For example, an ROL of 10% implies a payback period of 10 years, meaning it would take 10 years of premiums to cover one full limit loss.
- Risk Assessment: A higher ROL typically suggests a higher probability of loss for that specific layer of coverage.
Practical Example
Imagine an insurance company seeking $10,000,000 in excess of loss coverage. The reinsurer quotes a premium of $500,000 for this layer.
- Premium: $500,000
- Limit: $10,000,000
- Calculation: ($500,000 / $10,000,000) × 100 = 5%
- Payback Period: 1 / 0.05 = 20 Years
In this scenario, the Rate on Line is 5%. This means the insurer is paying 5 cents for every dollar of coverage obtained.
Factors Influencing Rate on Line
Several factors can cause ROL to fluctuate in the market:
- Loss History: Previous claims in the specific layer or industry will drive ROL higher.
- Market Capacity: If there is a lot of capital in the reinsurance market, competition may drive ROL down.
- Attachment Point: The "lower" the coverage starts (the attachment point), the higher the ROL, as the probability of a claim increases.
- Catastrophe Modeling: Advanced models used to predict natural disasters significantly influence the ROL for property catastrophe layers.