Mack (2000) Flashcards

1
Q

Û (relationship between Û and R^

A

Û =Ck+R^

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

pk

A

the proportion of the ultimate claims amount which is expected to be paid after k years of development

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

qk

A

1-pk

The proprotion of the ultimate claims amount which is expected to remain unpaid after k years of development

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

RBF

A

reserve estimate based on the a priori expectation of ultimate losses:

RBF= qkU0

Assumes current claim count Ck is not predictive of future claims

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

UBF

A

UBF=Ck + RBF

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

UCL

A

UCL = Ck/pk

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

RCL

A

RCL = UCL - Ck

RCL = qkUCL

Assumes current claims amount is fully predictive of future claims

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

Advantage of CL over BF

A

Using CL, different actuaries obtain similar results. This is not the case with BF due to differences in the selection of U0

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

Uc (Benktander a priori Ultimate)

A

UC = cUCL + (1-c)U0

credibiltiy mixture of U0 and CL Ultimate

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

RGB

A

assume c = pk

RGB = qkUBF

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

UGB

A

UGB = Ck + RGB = (1-qk)UCL + qkUBF

credibility weighted average of the BF method and CL method, where c = pk

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

Esa Hovinen Reserve (REH)

A

REH = cRCL + (1-c)RBF

IIf we set c = pk, REH = RGB

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

4 Reasons Benktander Method is superior to BF and CL

A
  1. Lower Mean Squared Error
  2. Better approximation of the exact Bayesian procedure
  3. Superior to CL since it gives more weight to the a priori expectation of ultimate losses
  4. Superior to BF since it gives more weight to actual loss experience
How well did you know this?
1
Not at all
2
3
4
5
Perfectly