Hurlimann Flashcards

1
Q

Key differences b/w Hurlimann and Benktander methods (2)

A
  1. Hurlimann’s method uses multiple origin periods (entire triangle) vs. a single origin period
  2. requires a measure of exposure (prem) in each origin period
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2
Q

Formula for incremental and overall loss ratios (m-sub k’s)

A

m-sub k = sum of incremental losses in column k / premiums for corresponding origin periods

sum of m-ks = overall LR

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3
Q

Expected value of the burning cost formula

A

= premium for origin period * overall LR

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4
Q

Loss ratio payout factor interpretation and formula

A

% emerged to date

p-sub i = sum of m-sub k’s to date / overall LR

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5
Q

What makes the collective loss ratio claims reserve different from the BF method?

A

uses burning cost estimate (collective claims experience, data) instead of a priori estimate

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6
Q

Advantage of the collective loss ratio reserve over the BF reserve

A

different actuaries always come to the same results provided they use the same premiums (opposite of Mack result)

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7
Q

Neuhaus credibility weight

A

Z = cumulative LR to date

= % emerged * overall LR

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8
Q

Optimal credibility weight (Z*) which minimizes the MSE of reserves

A

Zi* = % emerged / (% emerged + ti)

where ti = (fi - 1 + sqrt((fi + 1) * (fi - 1 + 2pi)) ) / 2

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9
Q

Assumption that simplifies ti = sqrt (% emerged) for optimal credibility weight

A

Var(ultimate claims) = Var(BC ultimate)

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10
Q

Formula for MSE of reserves

Hurlimann

A

MSE(Ri) = E[alpha^2(Ui)] * [ Zi^2 / % emerged + 1 / (1 - % emerged) + (1 - Zi)^2 / ti ] * (1 - % emerged)^2

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11
Q

Cape Cod credibility method

A
R-ind = (1 - % emerged) / % emerged * latest claims 
R-coll = (1 - % emerged) * LR * premium
LR = sum latest cumulative losses / sum used-up premium
Zi = % emerged 

w/% emerged calculated from CL LDFs

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12
Q

Optimal Cape Cod and optimal BF method credibility

A

Zi = % emerged / (% emerged + sqrt( % emerged)

w/% emerged calculated from CL LDFs

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13
Q

Formula for t(I)

Hurlimann

A

t(I) = (f(I) - 1 + sqrt((f(I) + 1) * (f(I) - 1 + 2p(I))) / 2

Var(U(I)) = f(I) * Var(U(I)-BC)

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