Tutorials › CAS Exam 5 - Basic Ratemaking and Estimated Claim Liabilities › Deriving the Loss Ratio Indication Equation

CAS Exam 5 · Loss Ratio Indication Method · Tutorial 235 of 989

Deriving the Loss Ratio Indication Equation

Learn why the indicated rate-level factor is the adjusted actual loss ratio divided by the permissible loss ratio, and how to apply that relationship consistently.

Intermediate 10 min read

What You'll Learn

  • Define the adjusted actual loss ratio and permissible loss ratio used in the indication.
  • Derive the rate-level factor by equating adjusted losses with the permissible share of indicated premium.
  • Identify the assumptions that make premium scale directly with a uniform rate-level change.
  • Combine losses and premiums across experience periods using premium weights.
  • Recognize when mismatched bases, reversed ratios, or fixed expenses invalidate a simple calculation.

Why the Loss Ratio Indication Has This Form

A loss ratio indication compares the losses expected at the target cost level with the premium currently available to pay them. The calculation is not just a ratio of two percentages: it follows from a balance equation. At the indicated rate level, the permissible share of premium must be sufficient to fund the adjusted losses.

The key is to compare losses and premium on compatible bases. For this derivation, assume the premium base has been brought to the rate level being evaluated, and losses have been adjusted to the cost level appropriate for the rates being indicated. The detailed selection of those adjustments is a separate task; here, take the adjusted values as inputs.

Definition: Let \(L\) be the adjusted losses for the experience being evaluated, and let \(P\) be the corresponding premium at the current rate level. The adjusted actual loss ratio is \(A=L/P\). Let \(q\) be the permissible loss ratio, the share of premium available for losses after allowing for the specified expense, profit, and contingency provisions. The indicated rate-level factor \(R\) is the uniform multiplier applied to the current rate level to make the permissible share of premium equal the adjusted losses.

In the standard loss ratio method, \(q\) is treated as a selected positive percentage of premium. For example, if variable expenses use 24% of premium and profit and contingencies use 6%, then \(q=1-0.24-0.06=0.70\). This tutorial uses \(q\) as an input rather than deriving the permissible loss ratio in detail.

The basic model assumes that a uniform rate-level factor changes premium in direct proportion: multiplying rates by \(R\) changes the corresponding premium from \(P\) to \(RP\). It also assumes that the adjusted losses are the loss amount to be funded and do not themselves scale just because the rate level changes. The equation is not directly applicable if the premium base is inconsistent with the losses, if the rate change is not represented by a uniform factor, or if material fixed expenses require a separate treatment.

Deriving the Indication Equation

At the indicated rate level, premium is \(RP\). If the permissible loss ratio is \(q\), the amount of that premium available for losses is \(qRP\). Adequacy requires that this amount equal the adjusted losses \(L\).

$$ qRP=L $$

Because \(q\) and \(P\) are positive, divide both sides by \(qP\) to solve for the factor:

$$ R=\frac{L}{qP} =\frac{L/P}{q} =\frac{A}{q} $$
Theorem: Under the standard loss ratio indication assumptions, the indicated rate-level factor is the adjusted actual loss ratio divided by the permissible loss ratio. In symbols, \(R=A/q\). This result follows by equating adjusted losses to the permissible share of premium at the indicated rate level.

The derivation explains why the factor is a quotient of loss ratios, not the reverse. The adjusted actual loss ratio measures the loss share implied by the experience at the current rate level. The permissible loss ratio is the loss share the rates are intended to support. Dividing the former by the latter gives the multiplier that brings the actual share into line with the permissible share.

The balance equation also gives a direct check: after calculating \(R\), the indicated premium is \(RP\), and its permissible loss amount must satisfy \(qRP=L\). If this check fails, a calculation or input has been misapplied.

1
Confirm compatible inputs.
Use adjusted losses \(L\) and the corresponding premium \(P\) on the same experience and rate-level basis.
2
Establish the permissible share.
Use the selected permissible loss ratio \(q\), expressed as a decimal rather than a percentage number.
3
Calculate and verify.
Compute \(A=L/P\), then \(R=A/q\), and check that \(qRP=L\).

Worked Applications

The examples below treat every loss and premium amount as a deterministic hypothetical input. No interest rate, mortality assumption, or stochastic loss distribution is used; those are not part of this rate-level balance calculation.

Worked Example: Finding the Factor From Adjusted Losses

A hypothetical specialty insurer has $6.30 million of losses adjusted to the target cost level and $10.50 million of corresponding premium at the current rate level. Variable expenses are 25% of premium, and profit and contingencies are 5% of premium. Find the indicated factor. Keep full precision through the calculation and round the final factor to four decimal places.

Method and permissible loss ratio. The permissible share remaining for losses is

$$ q=1-0.25-0.05=0.70 $$

Calculate the adjusted actual loss ratio.

$$ A=\frac{L}{P} =\frac{\$6.30\text{ million}}{\$10.50\text{ million}} =0.60 $$

Calculate the factor. Apply \(R=A/q\):

$$ R=\frac{0.60}{0.70} =\frac{6}{7} =0.857142\ldots $$

Rounded to four decimal places, the indicated factor is 0.8571. Check the balance using the unrounded factor \(6/7\): the indicated premium is \((6/7)(\$10.50\text{ million})=\$9.00\text{ million}\), and 70% of that is \(\$6.30\text{ million}\), equal to the adjusted losses. The common mistake this method avoids is dividing the permissible loss ratio by the actual loss ratio, which reverses the equation and would not satisfy the balance check.

Worked Example: Applying a Loss Adjustment Before the Indication

For a hypothetical equipment policy portfolio, the selected losses before a cost-level adjustment are $3.75 million. For this problem, apply a 1.08 adjustment factor to those losses. The corresponding premium at the current rate level is $5.40 million. The permissible loss ratio is 72%. Find the indicated factor, rounding to four decimal places.

Method. First form the adjusted losses. The 1.08 factor applies to losses, not to premium:

$$ L=\$3.75\text{ million}\times 1.08 =\$4.05\text{ million} $$

Calculate the actual loss ratio.

$$ A=\frac{\$4.05\text{ million}}{\$5.40\text{ million}} =0.75 $$

Calculate the indication. Convert 72% to \(q=0.72\), then divide:

$$ R=\frac{0.75}{0.72} =1.041666\ldots $$

The indicated factor, rounded to four decimal places, is 1.0417. As a check, the unrounded indicated premium is \(\$5.40\text{ million}\times 1.041666\ldots=\$5.625\text{ million}\). Its permissible loss share is \(0.72\times \$5.625\text{ million}=\$4.05\text{ million}\), matching the adjusted losses. A common error is to use the unadjusted $3.75 million in the numerator after the problem has specified a loss adjustment; that would calculate a different actual loss ratio from the one required.

Worked Example: Combining Experience Periods Correctly

A hypothetical insurer is combining two experience periods. In Period 1, adjusted losses are $1.56 million and corresponding premium is $2.40 million. In Period 2, adjusted losses are $4.48 million and corresponding premium is $5.60 million. Assume one permissible loss ratio of 72% applies to the combined experience. Calculate the combined indicated factor to four decimal places. No interest, mortality, or stochastic loss distribution is assumed.

Method. Add the losses and premiums before calculating the combined actual loss ratio:

$$ L=\$1.56\text{ million}+\$4.48\text{ million} =\$6.04\text{ million} $$
$$ P=\$2.40\text{ million}+\$5.60\text{ million} =\$8.00\text{ million} $$

The combined actual loss ratio and indicated factor are

$$ A=\frac{6.04}{8.00}=0.755 \qquad\text{and}\qquad R=\frac{0.755}{0.72}=1.048611\ldots $$

The factor rounded to four decimal places is 1.0486. Check: the unrounded indicated premium is \(\$8.00\text{ million}\times 1.048611\ldots=\$8.388888\ldots\text{ million}\). Multiplying by 0.72 gives $6.04 million.

The common mistake is to average the two period loss ratios without weighting them by premium. Period 1's ratio is \(1.56/2.40=0.65\); Period 2's is \(4.48/5.60=0.80\). Their simple average is 0.725, which would produce \(0.725/0.72=1.0069\), not the combined indication. The correct combined ratio weights each period by its premium because the pooled losses and premium are added amounts.

Conditions and Common Traps

The equation is short, but its validity depends on the setup. Before calculating, confirm that the loss and premium figures refer to the same experience and have been put on compatible bases. For example, a loss amount adjusted for a target cost level should not be divided by an unrelated premium base. The quotient may be arithmetically valid but would not represent the intended actual loss ratio.

The simple equation also treats the permissible loss ratio as a constant fraction of premium and assumes premium scales proportionally with a uniform rate-level factor. If fixed expenses are material, they do not automatically scale as a percentage of premium. A separate balance equation may be needed. For example, if fixed expenses are a fixed dollar amount \(F\) for the exposure being rated, while variable expenses and profit together consume a fraction \(1-q\) of indicated premium, the balance may be \(L+F=qRP\), giving \(R=(L+F)/(qP)\), rather than \(L/(qP)\). That modification requires a clearly specified fixed-expense basis.

Common exam trap: Reversing the ratios gives \(q/A\), not \(A/q\). Check the direction from the balance equation: at the indicated level, the permissible loss dollars \(qRP\) must equal adjusted loss dollars \(L\). If the proposed factor does not satisfy that equality, it is not the solution to the stated model.

A reliable calculation therefore has three parts: establish the adjusted loss and premium inputs, use the appropriate permissible loss ratio, and verify the factor by substituting it into the original balance equation. This check catches both a reversed quotient and many basis errors.

Check Your Understanding

For each problem, use the assumptions stated. Treat all amounts as hypothetical and deterministic; no interest, mortality, or stochastic loss distribution is assumed.

  1. A portfolio has $2.70 million of adjusted losses and $4.50 million of corresponding premium. The permissible loss ratio is 75%. Find the indicated factor to four decimal places. (Answer: 0.8000)
  2. Adjusted losses are $5.76 million and corresponding premium is $7.20 million. Variable expenses are 23% of premium, and profit and contingencies are 7%. Find the permissible loss ratio and indicated factor to four decimal places. (Answer: permissible loss ratio 0.70; indicated factor 1.1429)
  3. Two periods have adjusted losses and premiums of $0.90 million and $1.50 million, and $3.60 million and $4.50 million, respectively. A single permissible loss ratio of 75% applies. Find the combined factor to four decimal places. (Answer: 1.0000)
  4. A candidate calculates \(q/A\) for adjusted losses of $7.20 million, premium of $8.00 million, and permissible loss ratio \(q=0.80\). Find the correct factor and state the balance check in dollars. (Answer: \(A=0.90\), \(R=1.1250\); indicated premium is $9.00 million and 80% of it is $7.20 million.)
  5. Adjusted losses are $3.20 million, premium is $5.00 million, variable expenses consume 20% of indicated premium, profit consumes 5%, and fixed expenses are $0.40 million for the exposure being rated. If the fixed expenses remain a fixed dollar amount, use \(L+F=qRP\) to find the factor to four decimal places. (Answer: \(q=0.75\), \(R=(3.20+0.40)/(0.75\times5.00)=0.9600\))
Clinical Biostats