Hurlimann Flashcards

1
Q

2 Differences between Hurlimann and Benktander methods

A
  1. Hurlimann’s method is based on a full development triangle, whereas the Benktander method is based on a single origin period
  2. Hurlimann’s method requires a measure of exposure for each origin period (i.e. premiums)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Main Result of Hurlimann method

A

Provides an optimal credibility weight for combining the chain-ladder (individual) loss ratio reserve with the B-F (collective) loss ratio reserve

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Sik

A

paid claims from origin period i as of k years of development

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Total Ultimate Claims from origin period i

A

k=1nΣSik

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Cumulative Paid Claims (Cik)

A

Cik= j=1kΣSij

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Ri (i-th period Reserve)

A

Ri = k=n-i+2nΣSik

where i = 2, … , n

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

R (Total Claims Reserve)

A

R = i=1nΣRi

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Expected Loss Ratio (mk)

A

The incremental amount of expected paid claims per unit of premium in each development period (i.e. an incremental loss ratio)

mk = E [i=1n-k+1ΣSik] / i=1n-k+1ΣVi

where k= 1, … , n

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Expected value of the burning cost of the total ultimate claims

A

This quantity is simlar to the prior estimate Uo from Mack

E[UiBC] = Vi · k=1nΣmk

By summing up the incremental loss ratios, we obtain an overall expected loss ratio. When we multiply the overall expected LR by the premium, we obtain an expected loss for each origin period

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Loss Ratio Payout Factor (pi)

A

represents the percent of losses emerged to date for each origin period

pi = k=1n-i+1Σmk / k=1nΣmk

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Individual Total Ultimate Claims (Uiind)

A

Similar to Chain- Ladder estimate

Uiind = Ci,n-i+1 / pi

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Individual Loss Ratio Claims Reserve (Riind)

A

Riind = Uiind - Ci,n-1+1

=qi * Uiind

=(qi/pi) * Ci,n-1+1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Collective Loss Ratio Claims Reserve (Ricoll)

A

Ricoll = qi * UiBC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Collective Total Ultimate Claims (Uicoll)

A

Similar to BF estimate from Mack

Uicoll = Ricoll + Ci,n-i+1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Advantage of Collective Loss Ratio Claims reserve over BF reserve

A

difference actuaries always come to the same results provided they use the same premiums

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Credible Loss Ratio Claims Reserve (Ric)

A

mixture of the individual and collective loss ratio reserves

Ric = Zi * Riind + (1-Zi) * Ricoll

where Zi is the credibility weight given to the individual loss ratio reserve

17
Q

Benktander Loss Ratio Claims Reserve (RiGB)

A

obtained by setting Zi = ZGB = pi

RiGB = pi * Riind + qi * Ricoll

18
Q

Neuhaus Loss Ratio Claims Reserve (RiWN)

A

obtained by setting Zi = ZiWN = pi * k=1nΣmk

RiWN = ZiWN * Riind + (1- ZiWN) * Ricoll

19
Q

Zi*

(optimal credibility weights which minimize MSE)

A

Zi* = pi / (pi + ti)

20
Q

Estimation of ti

A

Special case when fi = 1

ti* = sqrt(pi)

21
Q

MSE(Ric)

(MSE for the credible loss ratio reserve)

A

MSE(Ric) = E[ai2(Ui)] * [(Zi2/pi) + (1/qi) + ((1-Zi)2/ti)

22
Q

fkCL

(chain ladder age to age factors)

A

i=1n-kΣCi,k+1 / i=1n-kΣCik

23
Q

FkCL

(Chain ladder Age to Ultimate factors)

A

j=kn-1ΠfjCL

24
Q

piCL

(Chain Ladder Lag Factors)

A

1/Fn-i+1CL

25
Q

qiCL

(Chain Ladder Reserve Factors)

A

1-piCL

26
Q

RiCL

A

(qiCL/piCL) * Ci,n-i+1

27
Q

Cape Cod Method

A

Benktander-type credibility mixture with the following components:

Riind = (qiCL/piCL) * Ci,n-i+1

Ricoll = qiCL * LR * Vi

Zi = piCL

LR = i=1nΣCi,n-i+1 / i=1nΣpiCL * Vi

28
Q

Optimal Cape Cod method

A

Identical to the Cape Cod method, but with the following credibility weights:

Zi = piCL/ (piCL​ + sqrt(piCL​))

29
Q

BF Method

A

same as CC method, but LRi is some selected inital loss ratio for each origin period