Estimation of Policy Liabilities Flashcards

1
Q

Benktander Ultimate as 2nd Iteration of BF Procedure

A

U_GB = C + q*U_BF

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2
Q

Benktander Ultimate as Weighting of CL and Expected Ultimate Loss

A

U_GB = (1 - q^2)U_CL + (q^2)U_0

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3
Q

Benktander Reserves as Weighting of CL and BF Reserves

A

R_GB = (1 - q)R_CL + qR_BF

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4
Q

Advantage of Benktander Method over CL and BF

A

Benktander outperforms CL and BF in many situations, with MSE close to optimal credibility reserve.

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5
Q

Advantage of CL over BF and Benktander

A

With BF and Benktander, different actuaries may arrive at different results because of subjectivity in selecting U_0.

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6
Q

Individual Loss Ratio Reserve Estimate

A
R_ind = q*C/p
U_ind = C/p
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7
Q

Collective Loss Ratio Reserve Estimate

A
R_coll = q*EP*ELR
U_coll = C + q*EP*ELR
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8
Q

Credibility-Weighted Loss Ratio Reserve Estimate

A

R = ZR_ind + (1 - Z)R_coll

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9
Q

Credibility Weight for Benktander Reserves

A

Z_GB = p

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10
Q

Credibility Weight for Neuhaus Reserves

A

Z_WN = P*ELR

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11
Q

Credibility Weight for Optimal Reserve Estimate

A

Z_opt = p / (p + sqrt(p)) if Var(U) = Var(U_BC)

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12
Q

Optimal Credibility Weight

A
f = Var(U) / Var(U_BC)
t = (f - 1 + sqrt((f + 1)*(f - 1 + 2p))) / 2
Z_opt = p / (p + t)
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13
Q

Burning Cost of Total Ultimate Claims

A

U_BC = ELR*EP

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14
Q

Advantage of Collective Loss Ratio Reserve over Traditional BF

A

Different actuaries come to the same result if the same premiums are used, because judgment isn’t used to select the ELR.

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15
Q

MSE for Credibility-Weighted Loss Ratio Reserve Estimate

A

MSE = E[alpha^2(U)](Z^2/p + 1/q + (1 - Z)^2/t)q

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