TIERING History and Purpose Spring 2010 CAS Meeting Agenda n - - PowerPoint PPT Presentation

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TIERING History and Purpose Spring 2010 CAS Meeting Agenda n - - PowerPoint PPT Presentation

TIERING History and Purpose Spring 2010 CAS Meeting Agenda n Definition n History n Relationship with Credit n Uses of Tier 2 Tier n Definition: n One of a series of ranks, layers or stratum n Synonyms: n Grade n


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SLIDE 1

TIERING

History and Purpose Spring 2010 CAS Meeting

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SLIDE 2

2

Agenda

n Definition n History n Relationship with Credit n Uses of Tier

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3

Tier

n Definition:

n One of a series of ranks, layers or stratum

n Synonyms:

n Grade n Category n Level n Grouping

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History

n Agency Insurers – Private Passenger Auto

n Bureau derived class plans n Competing with Exclusive Agency Insurers n Needed to further refine pricing

n Solution

n Fleet of companies, each company is a tier n Each at a separate base rate

n E.g. Preferred, Standard, Non-substandard

n Virtually same class plan (territories, I/L, etc.) n Set of underwriting rules that tiers new business into

  • ne of the companies or a decline
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5

Underwriting Guidelines

Preferred Company Standard Company Non-Standard Company Driver Age 23-70 21-22 if clean & 21-70 17-20 if clean & 21-70 16-20 if clean & Driving Experience 5 yrs 3 yrs No minimum

Driving Record

Per Policy At Fault 0 Not At Fault 2 Minor Convictions 0 At Fault 0 Not At Fault 2 Minor Convictions 2 At Fault 1 Not At Fault 2 Minor Convictions 3 Per Operator At Fault 0 Not At Fault 2 Minor Convictions 0 At Fault 0 Not At Fault 2 Minor Convictions 1 At Fault 1 Not At Fault 2 Minor Convictions 2 Maximum Incidents 2 per policy 3 policy 5 per policy 2 per operator

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Observations

n Overlap with class plan n Underwriting rules – didn’t have to be filed in

most states

n No multivariate analysis n Virtually no reassignment at renewal n Rules adjusted as a function of appetite n Level of success - questionable

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Catalyst for Change

n Credit Score –

n New variable introduced in the early to mid-

90’s

n Highly predictive n Highly granular (200 to 850)

n Phase I

n Added to existing underwriting rules

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Underwriting Guidelines

Preferred Company Standard Company Below Standard Company Driver Age 23-70 21-22 if clean & 21-70 17-20 if clean & 21-70 16-20 if clean & Driving Experience 5 yrs 3 yrs No minimum

Driving Record

Per Policy At Fault 0 Not At Fault 2 Minor Convictions 0 At Fault 0 Not At Fault 2 Minor Convictions 2 At Fault 1 Not At Fault 2 Minor Convictions 3 Per Operator At Fault 0 Not At Fault 2 Minor Convictions 0 At Fault 0 Not At Fault 2 Minor Convictions 1 At Fault 1 Not At Fault 2 Minor Convictions 2 Maximum Incidents 2 per policy 3 per policy 5 per policy 2 per operator

Credit

Superior or better Average or better Acceptable or better

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Old Observations

n Overlap with class plan n Underwriting rules – didn’t have to be filed in

most states

n No multivariate analysis n Virtually no reassignment at renewal n Rules adjusted as a function of appetite n Level of success - questionable

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New Observations

n Credit score ranges adjusted with appetite n Predictive power of credit underutilized

n A handful of ranges were inadequate

n Number of pricing points inadequate

n Expensive to file/maintain many companies

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Modern Solutions

n Multivariate Analysis

n Balancing of tiering (and potentially class plan)

variables

n Integration of tiering and class plan variables

n Tier within Company

n No limit to price points

n If possible, maintained as underwriting rules

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Why use tier?

n Relaxed filing requirements for underwriting

guidelines

n Use of variables that present filing hurdles

n Prior carrier variables n Expanded driving record n Personal character variables

n Relaxed filing requirements shields from

competitors’ view

n Some DOI’s require walling off particular

variables, namely credit

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Other uses of Tier 1

n Tier can be used as a complex interaction

n Assumption – the strength and slope of some

the “class plan” variables vary by “type of risk”

n Segment the universe by “type of risk” n Type of risk becomes tier n Interact the class plan variables with type of

risk

n Result – effectively separate class plans by

type of risk or tier

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Other use of Tier 2

n Overlay new variables on top of an existing class plan n No change to existing plan

n Control dislocation to the existing book n Isolate changes to the policy writing system

n Methodology

n Tiering variables = all new variables n Multivariate analysis

n Independent Variable = Loss ratio using current class plan

premium

n Dependent Variables = new variables

n Use aggregate new variable score to establish tier

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Example

n Directly use the factors derived from analysis of the tiering

variables

n Tier factors is a weighted average of the cumulative score.

Variable 1 Variable 2 Cumulative Score Tier Tier Factor

Risk A 0.90 0.90 0.81 1 0.85 Risk B 0.95 1.00 0.95 Risk C 1.00 1.00 1.00 2 1.00 Risk D 1.20 1.00 1.20 3 1.27 Risk E 1.10 1.20 1.32 Risk F 1.20 1.20 1.44 4 1.44

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Other uses of Tier 3

n

Objective: Use tier to establish new vs. renewal pricing

1)

Tier new business using standard criteria targeting new business losses performance

2)

Renewal tiering based on a change model

a)

Incorporate variables only available for renewal business

b)

Eliminate use of variables only relevant to new business

c)

Reduce reliance on variables that are more powerful for new business than renewal

d)

Control tier movement at renewal