Date post: | 12-Jan-2016 |
Category: |
Documents |
Upload: | wilfrid-benson |
View: | 214 times |
Download: | 0 times |
Washington State Transit Insurance PoolExperience RatingAugust 27, 2009
Presented by:Kevin Wick, FCAS, MAAA
PricewaterhouseCoopersAugust 2009
Slide 2
Overview
• Basic Foundation• Historical Perspective• Industry Perspective• Experience Rating
- Traditional Framework- Defining Comparison- Incorporating
Comparison Result• Current Environment• Common Pitfalls
PricewaterhouseCoopersAugust 2009
Slide 3
Basic Foundation
• Are you a bank or a pool?• If pool, members contribute
funds in proportion to their level of risk- Rating system
measures risk• With experience rating,
past losses are being used to help project future risk- Supplements primary
allocation basis (miles)
PricewaterhouseCoopersAugust 2009
Slide 4
Historical Perspective
• Is a driver with one accident more likely to have a future accident?- Are past accidents correlated
with future accidents?• Extent of correlation defines extent
future rates should be adjusted due to past losses- Credibility, or credence,
concept• High or low mod may simply mean
primary rating unit does not completely measure risk
PricewaterhouseCoopersAugust 2009
Slide 5
Industry Perspective
• Insurance Industry- More sophisticated models
required if membership or “insured pool” is not homogeneous
- Large databases to measure correlation
• Governmental Pools- Same principles- Homogeneous membership
allows simplified approach
PricewaterhouseCoopersAugust 2009
Slide 6
Experience RatingTraditional Framework
• If a member’s losses are greater than average, they pay more
• If a member’s losses are less than average, they pay less
• Such statements imply past losses are correlated with future loss potential
• How are losses defined?- Number of years- Caps on specific losses
• How do you blend result?
Miles (primary rating basis)
X
Base Rate
X
Experience Mod
=
Contribution
PricewaterhouseCoopersAugust 2009
Slide 7
Experience RatingDefining Comparison
• Actual member losses in experience window compared with “expected” losses
• Expected is based on share of primary rating unit, or exposure- If 10% of miles, then
expected to have 10% of losses
PricewaterhouseCoopersAugust 2009
Slide 8
Experience RatingDefining Comparison – Number of Years (Decision 1)
• Should experience window be 3 years, 5 years, 10 years?- improved correlation- “ticket on record” concept- maturity of losses
• Most often most recently completed 3 or 5 years is used
• All else being equal, a longer experience window results in more stable experience mods
PricewaterhouseCoopersAugust 2009
Slide 9
Experience RatingDefining Comparison – Loss Limit (Decision 2)
• Typically losses that enter the experience rating formula are capped- Mitigate impact on one
catastrophic claim• A member with three $250,000
claims is viewed as having greater likelihood of future losses than a member with one $1 million claim
• All else being equal, lower caps result in more stable experience mods
PricewaterhouseCoopersAugust 2009
Slide 10
Experience RatingIncorporating Experience
• If member’s losses are 50% higher than average, should they have a 1.50 experience mod?- If yes, rates will fluctuate
substantially as individual member experience fluctuates substantially
- If no, then need to define how experience is considered• Typically partial weight
Example using 25% Weighting (credibility)
• Member relative loss experience is 1.50
• Experience mod calculation- 1.50 x 25% + 1.00 x (1-25%)
• 1.00 is the average mod- Mod = 1.125
• The less credibility, the closer the mods are to 1.00- If the credibility is 0%, the mod
is 1.00
PricewaterhouseCoopersAugust 2009
Slide 11
Experience RatingCredibility (weighting) Considerations (Decision 3a and 3b)
• Experience of smaller members is more volatile than larger members- Handled through sliding scale- Larger members with the more
statistically significant experience have more credence placed on such
• Desired stability can be achieved by adjusting the degree of credibility- What are acceptable annual
rate changes?• Should balance of weight be on
1.000 or prior mod?
PricewaterhouseCoopersAugust 2009
Slide 12
Hypothetical Individual Member Experience
$0
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 13
Hypothetical Individual Member Experience5 Year Rolling Average with Large Claims Capped
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1989
-93
1990
-94
1991
-95
1992
-96
1993
-97
1994
-98
1995
-99
1996
-00
1997
-01
1998
-02
1999
-03
2000
-04
2001
-05
2002
-06
2003
-07
2004
-08
PricewaterhouseCoopersAugust 2009
Slide 14
Example of Current Formula
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0.000
0.500
1.000
1.500
2.000
2.500
Member Relativity Current Formula
First step is to measure the member losses as defined in the rating
formula
PricewaterhouseCoopersAugust 2009
Slide 15
Example of Current Formula
1.47
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0.000
0.500
1.000
1.500
2.000
2.500
Member Relativity Current Formula
Secondly, member’s experience is compared to
average experience of group (normalized for size)
PricewaterhouseCoopersAugust 2009
Slide 16
Example of Current Formula
1.047
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0.000
0.500
1.000
1.500
2.000
2.500
Member Relativity Current Formula
Final step is to weight between average relativity
of 1.000 and indicated relativity
PricewaterhouseCoopersAugust 2009
Slide 17
Example of Current Formula
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0.000
0.500
1.000
1.500
2.000
2.500
Member Relativity Current Formula
PricewaterhouseCoopersAugust 2009
Slide 18
Balance of Weight on Prior Mod
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0.000
0.500
1.000
1.500
2.000
2.500
Member Relativity Weight on Prior Mod
PricewaterhouseCoopersAugust 2009
Slide 19
Experience RatingSummary of Decisions
1. Number of Years
2. Loss Cap
3. Weighting
a. Degree of responsiveness
b. Weight on 1.000 or Prior Mod
PricewaterhouseCoopersAugust 2009
Slide 20
Current Trends
• Coordinate experience rating with benchmarking
• More formal reviews and education- Workshops with
stakeholders• More sophistication for
decisions- Basis for choices- Retrospective application
• Move toward more stable mods• Simpler presentations
PricewaterhouseCoopersAugust 2009
Slide 21
Common Pitfalls
• Choices/tradeoffs and formula are not understood
• Dealing with long-term higher or lower than expected loss levels
• System patched together with caps versus addressing the issue
• Untested non-traditional systems
Stable
Responsive
FairSimple
PricewaterhouseCoopersAugust 2009
Slide 22
Ben FranklinNet Incurred Loss by Year
$0
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
$1,600,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 23
ClallamNet Incurred Loss by Year
$0
$20,000$40,000
$60,000$80,000
$100,000
$120,000$140,000
$160,000$180,000
$200,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 24
ColumbiaNet Incurred Loss by Year
$0
$20,000
$40,000
$60,000
$80,000
$100,000
$120,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 25
CommunityNet Incurred Loss by Year
$0
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
$800,000
$900,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 26
CowlitzNet Incurred Loss by Year
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 27
EverettNet Incurred Loss by Year
$0
$50,000
$100,000
$150,000
$200,000
$250,000
$300,000
$350,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 28
GrantNet Incurred Loss by Year
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 29
Grays HarborNet Incurred Loss by Year
$0
$50,000$100,000
$150,000$200,000
$250,000
$300,000$350,000
$400,000$450,000
$500,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 30
IntercityNet Incurred Loss by Year
$0
$100,000$200,000
$300,000$400,000
$500,000
$600,000$700,000
$800,000$900,000
$1,000,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 31
IslandNet Incurred Loss by Year
$0
$50,000
$100,000
$150,000
$200,000
$250,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 32
JeffersonNet Incurred Loss by Year
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 33
KitsapNet Incurred Loss by Year
$0
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
$800,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 34
LinkNet Incurred Loss by Year
$0
$20,000
$40,000
$60,000
$80,000
$100,000
$120,000
$140,000
$160,000
$180,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 35
MasonNet Incurred Loss by Year
$0
$20,000
$40,000
$60,000
$80,000
$100,000
$120,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 36
PacificNet Incurred Loss by Year
$0
$20,000
$40,000
$60,000
$80,000
$100,000
$120,000
$140,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 37
PullmanNet Incurred Loss by Year
$0
$5,000$10,000
$15,000$20,000
$25,000
$30,000$35,000
$40,000$45,000
$50,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 38
SkagitNet Incurred Loss by Year
$0
$20,000
$40,000
$60,000
$80,000
$100,000
$120,000
$140,000
$160,000
$180,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 39
SpokaneNet Incurred Loss by Year
$0
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 40
TwinNet Incurred Loss by Year
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 41
ValleyNet Incurred Loss by Year
$0
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 42
WhatcomNet Incurred Loss by Year
$0
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 43
WSTIPNet Incurred Loss by Year
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 44
YakimaNet Incurred Loss by Year
$0
$2,000$4,000
$6,000$8,000
$10,000
$12,000$14,000
$16,000$18,000
$20,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
PricewaterhouseCoopersAugust 2009
Slide 45
TotalNet Incurred Loss by Year
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
$4,500,000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008