Chapter 19 - individual business Flashcards

1
Q

Process involved in deriving a risk premium for PMI

A
  • choose a base period over which to collect claims and exposure data
  • collect data, checking the accuracy and appropriateness of the data
  • split the data into homogeneous groups
  • calculate historical burning cost premium for each group
  • analyse data e.g. to identify trends
  • adjust and project forward to obtain future risk premiums
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2
Q

Factors to consider when selecting a base period:

A
  1. volume
  2. detail
  3. trends
  4. relevance
  5. unknowns
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3
Q

Reasonability checks on data used to price PMI

A
  • reconcile data to independent data sources such as financial statements and returns to the regulator
  • check consistency between claims data and the benefits covered
  • perform spot checks for impossible values and distributions
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4
Q

Significant distortions may arise for the following data:

A
  1. policy acceptance - the basis on which the proposal is accepted, underwriting, waiting period
  2. policy coverage
  3. marketing and method of distribution - influence of selling practice on the nature of risks insuredBCP
  4. delays in claims settlement - the internal practices that may affect the timing of claims settlement
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5
Q

BCP

A

True past risk premium of an actual portfolio of data ie the actual cost of claims incurred per policy
BCP = sum of claims/exposed to risk

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6
Q

Analysis of data

A
  • more common to analyse claim frequency, cost per claim and exposure per policy separately
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7
Q

What may you need to adjust the base value for?

A
  • unusually heavy/light experience
  • large or exceptional claims
  • trends in claims experience
  • changes in risk
  • changes in cover
  • changes in the cost of reinsurance
  • seasonal variation in claims
  • incomplete claims
  • change in agreements with suppliers
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8
Q

Changes in risk

A
  • may show up as trends in the overall claims experience and could be dealt with as a trend
  • may try to separate the major elements of risk in the base data, project them separately and combine them with explicit assumptions about the future mix of the risk
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9
Q

Projecting the base value for

A
  • changes in policyholder profile by benefit options, considering selective effect of membership movement
  • claims inflation
  • trends
  • other changes in cover
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10
Q

The projections need to allow for expected inflation on claims between:

A
  • the mean payment date of claims in the base period

- the mean payment date of claims arising during the exposure period of the new rating series

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11
Q

What factors should contingency margins take into account

A
  • benefit design
  • number of policyholders and number of policyholders per benefit option
  • policyholder risk class distribution and changes in policyholder profile
  • overall risk exposure
  • credibility of claims experience
  • use of reinsurance
  • likely variation in expenses
  • impact of current and future changes in legislation
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12
Q

Cash plan premiums

A
  • determined by first calculating the expected claims for each of the benefits
  • expected benefit will take account of any excesses or coinsurance factors
  • then adjusted to take account of “inertia” (if not already in claims experience data or expected to change)
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13
Q

Accidental death and TPD premiums

A
  • based on calculating expected claims
  • where sold to different groups, average rate is often agreed for a particular group
  • large groups tend to be rated using “group” techniques
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14
Q

CI premiums

A
  • sum individual CI incidence rate to determine overall rate
  • overlaps in incidence of certain critical illnesses may be allowed for explicitly (more than one allowable CI cause underlies the same claim)
  • automatic if rates derived from claims experience data
  • situation harder if using medical records
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15
Q

Accelerated CI insurance premiums

A
  • approximation to incidence pg.704
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16
Q

Stand-alone CI

A

pg.705

17
Q

Modelling complexities - PMI

A
  1. distribution of claim frequency - difficulty in defining a discrete claim
  2. distribution of claim amount - dependent on hospital capacity, medical science progress, insurer/provider deals, inflation
  3. the impact of sales tax on future growth
  4. NCD multi-states
  5. the need to incorporate the reclaim of initial costs over several renewal periods
  6. the need to model the chain of occurrence through GP referral via specialist to hospital, plus delay to settlement
18
Q

Data limitations - PMI

A
  1. an absence of insurance statistics
  2. problems with family covers where details of individuals on risk may not be known
  3. problems with group arrangements where detail of individuals can only be approximated
19
Q

Influences on CI claims distributions

A
  • advancements in medical science
  • earlier diagnosis
  • simpler and more readily available options
20
Q

Modelling complexities - CI

A
  • possible use of separate approaches for disease-based and treatment-based
  • guaranteed and reviewable alternatives
21
Q

Data limitations - CI

A
  • statistics provide help with historic incidence - however, practically, only cancers and heart attacks are likely to provide enough data.
22
Q

Modelling complexities - LTCI

A
  • distribution of claim frequency - little experience (transition rates)
  • distribution of claim amounts (could place cap on weekly/monthly benefit but otherwise little control). Dependent on economy, inflation, medical advances and capacity
  • demand (for portfolio projection) which is dependent on political commitment
23
Q

Data limitations - LTCI

A
  • lack of insurance statistics
24
Q

Modelling is further complicated by:

A
  1. the role of genetics
  2. trends in anti-selection
  3. the quality of underwriting