INNOVATION AND THE REGULATOR

1 / 16
About This Presentation
Title:

INNOVATION AND THE REGULATOR

Description:

Algorithm used to determine rating can have 'black box' nature ... The case for statistical correlation ... Will there be a problem for people with cheap cars? ... – PowerPoint PPT presentation

Number of Views:30
Avg rating:3.0/5.0
Slides: 17
Provided by: mca137
Learn more at: http://www.casact.org

less

Transcript and Presenter's Notes

Title: INNOVATION AND THE REGULATOR


1
INNOVATION AND THE REGULATOR
  • JANET SILVERMAN
  • NEW YORK INSURANCE DEPARTMENT
  • CASUALTY ACTUARIAL SOCIETY SPRING MEETING
  • MAY 7 - 10, 2000

2
RATEMAKING APPROVAL PROCESS
  • Innovator
  • Insurer
  • Regulator

3
CREDIT REPORTS - PROPOSALS
  • Used as a rating variable
  • Algorithm used to determine rating can have
    black box nature
  • Reasons for unfavorable outcome can be kept from
    insured

4
SOME ACTUARIAL REACTIONS
  • The case for statistical correlation has been
    made.
  • Potential for unfairness is a problem, whether
    actual or perceived.
  • Black Box
  • Lack of intuitive connection to driving experience

5
SOME ACTUARIAL REACTIONS
  • Underwriting factors are not on file at the
    Department perceived unfairness is not so much a
    problem here.
  • A 20 billion market attracts a lot of attention .

6
CREDIT REPORTS - APPROVALS
  • Discount based on credit characteristics
  • No black box approvals
  • Reasons for declination must be made known to
    insured.

7
VERY PRELIMINARY REACTION
  • What will the proposal look like?
  • What kind of support will there be?
  • Will there be a transition period?
  • What is the effect on the insured population?
  • Will our approval be the last word?

8
WHAT WILL THE PROPOSAL LOOK LIKE
  • How will data from the black box enter into the
    rate?
  • At introduction will the data collected be used
    for the following year?
  • Will there be something like a credit based on
    assumed experience to be changed if the results
    are not as expected?
  • What will happen to the people who do not want to
    be part of this?

9
WHAT WILL THE PROPOSAL LOOK LIKE
  • Will there be a black box aspect to the
    algorithm connecting the technology to the
    premium paid?
  • Will the variable be used as a replacement for
    the current system or an addition too it?

10
WHAT KIND OF SUPPORT WILL THERE BE
  • Will the supporting data be comparable to that of
    New York?
  • Can we be sure that the data cannot be
    manipulated?
  • Will we see correlation to loss experience?
  • Will correlation to other rating variables be
    recognized?

11
WILL THERE BE A TRANSITION PERIOD
  • Will there be a cost to installing the system if
    so who will pay?
  • Will there be a problem for people with old cars?
  • Will there be a problem for people with cheap
    cars?

12
WHAT IS THE EFFECT ON THE INSURED POPULATION
  • Some insureds will benefit some will not what
    is the worst case scenario?
  • We must be assured that the rate will not be
    prohibitive for some insureds.
  • If there is a voluntary aspect to this, wont
    people who choose this probably be better risks?
  • Couldnt its acceptance be used as an
    underwriting variable?

13
WHAT IS THE EFFECT ON THE INSURED POPULATION
  • Could this have an unfortunate effect on claims
    handling?
  • Will the ultimate market be those who are part of
    the system and an assigned risk population?
  • Because of the costs involved will that left-over
    segment contain an abundance of poor people?

14
WHAT IS THE EFFECT ON THE INSURED POPULATION
  • PRIVACY ISSUE
  • How much do you want your insurer to know about
    you?
  • Is this degree of information really necessary to
    underwrite or to rate?
  • Can this data be retrieved by law enforcement
    entities?
  • Will the information be able to be subpoenaed?

15
WILL THE APPROVAL BE THE LAST WORD
  • The other approval process
  • Public
  • Politicians
  • Regulator

16
  • The Insurance Department welcomes innovation in
    any form and values companies that put in the
    time and expense to improve the insurance market.
    We take seriously our responsibility -
    effecting positive change with a minimum of
    disruption to the system.
Write a Comment
User Comments (0)