Tutorials › Exam FAM - Fundamentals of Actuarial Mathematics › Deriving the Excess-of-Loss Layer Payment Formula

Exam FAM · Reinsurance Arrangements · Tutorial 85 of 988

Deriving the Excess-of-Loss Layer Payment Formula

Learn to derive and apply the capped positive-part formula for an excess-of-loss layer, including how to check recoveries below, within, and above the layer.

Intermediate 10 min read

What You'll Learn

  • Define attachment, layer width, and the top of an excess-of-loss layer
  • Derive the recovery as a positive part capped by the layer width
  • Express the layer payment as the difference of two positive-part amounts
  • Verify the formula for losses below, within, and above the layer
  • Apply the formula to calculate recoveries and reconcile them to the loss
  • Identify common errors involving attachment and exhaustion points

Why a Layer Payment Needs Both an Attachment and a Cap

An excess-of-loss layer protects against the part of an eligible loss that reaches a specified level. The attachment determines where the reinsurer’s payment begins; the layer width determines how much the reinsurer can pay before the layer is exhausted. A correct recovery calculation must account for both boundaries.

For this tutorial, let \(X\) be a nonnegative loss amount on the basis specified by a hypothetical contract, such as one risk or one occurrence. Assume the reinsurer covers 100% of the layer, with no deductible within the layer, coinsurance, exclusions, or separate aggregate cap. The formula below calculates the layer payment from \(X\); contract terms that change the covered loss or the reinsurer’s share must be applied separately.

Definition: An excess-of-loss layer with attachment \(A\) and width \(L\) is often described as “\(L\) excess of \(A\).” The layer begins at \(A\), ends at \(A+L\), and has maximum payment \(L\). For eligible loss \(X\), its recovery is the amount of loss in the interval from \(A\) to \(A+L\).

The attachment is not itself the layer width. For example, a hypothetical layer of $80,000 excess of $120,000 begins paying above $120,000 and is exhausted at $200,000. Its maximum recovery is $80,000, not $200,000.

Deriving the Layer Payment

The amount of loss above attachment \(A\), before applying the layer cap, is \((X-A)^+\), where \(z^+=\max(z,0)\). This amount is zero if the loss does not reach the attachment. If it does reach the attachment, the amount above \(A\) grows with the loss. However, the reinsurer cannot pay more than the width \(L\), so the recovery is that positive part capped at \(L\).

$$ R(X)=\min\big((X-A)^+,L\big) $$

The same recovery can be written as the difference between the amount above the attachment and the amount above the top of the layer:

$$ R(X)=(X-A)^+-(X-A-L)^+ $$

To see why the difference formula works, consider the three possible positions of \(X\). If \(X\leq A\), neither positive part is greater than zero. If \(A<X<A+L\), the loss is above the attachment but not above the top of the layer, so only the first positive part is nonzero. If \(X\geq A+L\), both positive parts are nonzero and their difference is exactly \(L\). Thus the expression gives zero below the layer, the loss within the layer, and the full layer width above the layer.

Theorem: For a 100% participating excess-of-loss layer with attachment \(A\) and width \(L\), the recovery on eligible loss \(X\geq 0\) is $$ R(X)=\min\big((X-A)^+,L\big)=(X-A)^+-(X-A-L)^+. $$ Equivalently, $$ R(X)= \begin{cases} 0, & X\leq A,\\ X-A, & A<X<A+L,\\ L, & X\geq A+L. \end{cases} $$

At the exact boundaries, the formulas agree: \(R(A)=0\), and \(R(A+L)=L\). Whether a loss exactly equals the attachment or the top of the layer therefore causes no ambiguity in the payment.

Worked Applications

Worked Example: Checking Losses Below, Within, and Above a Layer

A hypothetical reinsurer covers a layer of $40,000 excess of $100,000 on each eligible claim. Calculate the recovery for losses of $75,000, $126,000, and $155,000. Verify each result using the layer boundaries.

Method. Here \(A=\$100{,}000\) and \(L=\$40{,}000\), so the top of the layer is \(A+L=\$140{,}000\). Use \(R(X)=\min((X-A)^+,L)\). The common mistake to avoid is treating $140,000, the exhaustion point, as the layer width.

For \(X=\$75{,}000\), the loss is below the attachment: \[ (X-A)^+=(\$75{,}000-\$100{,}000)^+=0. \] Therefore \(R(X)=\min(0,\$40{,}000)=\$0\). This is consistent with the piecewise rule because \(\$75{,}000\leq A\).

For \(X=\$126{,}000\), the amount above attachment is \[ X-A=\$126{,}000-\$100{,}000=\$26{,}000. \] Since $26,000 is less than the $40,000 width, the recovery is \[ R(X)=\min(\$26{,}000,\$40{,}000)=\$26{,}000. \] The loss falls within the layer because \(\$100{,}000<\$126{,}000<\$140{,}000\).

For \(X=\$155{,}000\), the amount above attachment is \[ X-A=\$155{,}000-\$100{,}000=\$55{,}000. \] The layer cannot pay more than its $40,000 width, so \[ R(X)=\min(\$55{,}000,\$40{,}000)=\$40{,}000. \] The loss exceeds the $140,000 exhaustion point, so the layer is fully paid.

Check. The recoveries are $0, $26,000, and $40,000. They are, respectively, no greater than zero below attachment, equal to the loss portion inside the layer, and capped at the layer width above it.

Worked Example: Separating the Recovery From the Loss Retained Outside the Layer

A hypothetical occurrence loss of $468,000 is subject to a 100% layer of $300,000 excess of $125,000. Calculate the recovery and the portion of the loss that remains outside this layer. Assume there are no other recoveries or contractual adjustments.

Method. The attachment is \(A=\$125{,}000\), the width is \(L=\$300{,}000\), and the top of the layer is \[ A+L=\$125{,}000+\$300{,}000=\$425{,}000. \] The common mistake to avoid is subtracting the attachment from the loss and reporting the full excess, without applying the layer cap.

The amount above attachment is \[ X-A=\$468{,}000-\$125{,}000=\$343{,}000. \] Apply the cap: \[ R(X)=\min(\$343{,}000,\$300{,}000)=\$300{,}000. \] The loss exceeds the top of the layer, so this is a full-layer recovery.

The part below the layer is $125,000. The part above the layer is \[ X-(A+L)=\$468{,}000-\$425{,}000=\$43{,}000. \] Together, these two amounts are the loss outside the layer: \[ \$125{,}000+\$43{,}000=\$168{,}000. \]

Check. The recovery plus the loss outside the layer reconciles to the original loss: \[ \$300{,}000+\$168{,}000=\$468{,}000. \] The recovery does not exceed the $300,000 width, and the loss above the top is not included in this layer’s payment.

Worked Example: Inferring a Loss From a Partial Layer Recovery

A hypothetical 100% excess-of-loss layer has a width of $90,000 and attaches at $210,000. A claim produces a layer recovery of $62,000. Assuming the recovery is calculated directly from one eligible loss and there are no other contract terms affecting payment, determine the loss amount. Then calculate the recovery on a second eligible loss of $355,000.

Method. First find the layer’s top: \[ A+L=\$210{,}000+\$90{,}000=\$300{,}000. \] A $62,000 recovery is positive and below the full width of $90,000. Therefore it is a partial recovery, and the loss lies strictly within the layer. The common mistake to avoid is treating a recovery equal to the full width and a recovery below the width as if both identify a unique loss in the same way.

For a partial recovery, the middle case of the piecewise formula gives \(R(X)=X-A\). Thus \[ \$62{,}000=X-\$210{,}000, \] so \[ X=\$210{,}000+\$62{,}000=\$272{,}000. \] This is consistent with the partial-layer condition: \[ \$210{,}000<\$272{,}000<\$300{,}000. \]

For the second loss, \(X=\$355{,}000\), which exceeds the $300,000 top. Its amount above attachment is \[ \$355{,}000-\$210{,}000=\$145{,}000. \] Capping at the $90,000 width gives \[ R(X)=\min(\$145{,}000,\$90{,}000)=\$90{,}000. \]

Check. The first inferred loss is within the layer and produces the stated $62,000 recovery. The second loss exceeds the layer, so its recovery is exactly the $90,000 maximum. A full-width recovery alone would establish only that \(X\geq \$300{,}000\), not one unique loss amount.

Formula Checks and Common Traps

The positive-part difference is useful because it makes the two boundaries visible in a single expression. The first term, \((X-A)^+\), counts the amount above the attachment. The second, \((X-A-L)^+\), removes any amount above the top of the layer. What remains is only the loss allocated to the layer.

1
Identify the attachment and width.
Write down \(A\) and \(L\) separately. The top of the layer is \(A+L\), not \(L\).
2
Place the loss relative to both boundaries.
Compare \(X\) with \(A\) and \(A+L\). This identifies whether the recovery is zero, partial, or full.
3
Calculate and cap the excess.
Find \((X-A)^+\), then take the smaller of that amount and \(L\).
4
Check the result.
The recovery must satisfy \(0\leq R(X)\leq L\). If calculating the loss outside the layer as well, verify that it plus the recovery equals \(X\).

A frequent incorrect calculation is to pay \(\min(X,L)\). For a $40,000 excess of $100,000 layer and a $75,000 loss, that calculation gives \(\min(\$75{,}000,\$40{,}000)=\$40{,}000\), even though the loss never reaches the $100,000 attachment. The correct calculation is \[ \min\big((\$75{,}000-\$100{,}000)^+,\$40{,}000\big)=\$0. \] Another error is to subtract the attachment but forget the cap. For a $155,000 loss under that same layer, \(X-A=\$55{,}000\), but the payment is $40,000, not $55,000. Both the zero-payment boundary and the maximum-payment boundary must be respected.

Key takeaway: An excess-of-loss layer pays the loss above its attachment, but never more than its width: $$ R(X)=\min\big((X-A)^+,L\big). $$ Equivalently, subtract the excess above the layer’s top: \(R(X)=(X-A)^+-(X-A-L)^+\). Always distinguish the attachment \(A\), the width \(L\), and the exhaustion point \(A+L\).

Check Your Understanding

For each hypothetical 100% layer, assume the stated loss is the eligible loss and that no other contract terms alter the recovery.

  1. A layer of $30,000 excess of $70,000 covers a loss of $94,000. What is the recovery? (Answer: $24,000)
  2. A layer of $50,000 excess of $140,000 covers a loss of $250,000. What is the recovery, and is the layer exhausted? (Answer: $50,000; yes, the layer is exhausted)
  3. A layer of $80,000 excess of $200,000 covers a loss of $263,000. Calculate the recovery and check that the loss is within the layer. (Answer: $63,000; the loss is within the layer)
  4. A layer of $125,000 excess of $500,000 covers a loss of $590,000. What is the recovery, and how much of the loss is outside the layer? (Answer: $90,000 recovery; $500,000 outside the layer)
  5. A layer of $45,000 excess of $155,000 pays $31,000 on one eligible loss. What is the loss amount? (Answer: $186,000)
  6. A layer of $45,000 excess of $155,000 pays its full width on an eligible loss. What can be concluded about the loss amount, and can the exact loss be determined? (Answer: \(X\geq \$200{,}000\); the exact loss cannot be determined from the recovery alone)
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