Monitoring the Emerging Experience Flashcards

1
Q

Why analyse experience and trends?

A

To understand drivers of experience
To identify corrective actions
Develop a history for modelling
To provide information to management
To review and update your model

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2
Q

What are the main things analysed?

A

Because of time and resource constraints: we analyse factors with a large financial impact or a large impact adversely. Look at Actual vs expected experience.
Can see what has large financial impact by sensitivity testing
Minor deviations can be analysed less frequently

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3
Q

What are causes of minor vs large deviations

A

Often ‘minor deviations’ are caused by demographic factors while major deviations arise from economic

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4
Q

Why can claims experience sometimes be tricky to analyse Actual vs Expected

A

The time frame of the review might be too short so there might only be
limited decrements. Lack of data
May have too few data points on claims, etc. to give a statistically credible graduation of the experience.

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5
Q

What are the main actuarial decrements?

A

mortality, morbidity, claim experience.

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6
Q

What are two main purposes of analyzing experience

A

Two purposes of analysing experience can be for management reporting on profit and for modelling improvements.
Management will often want analysis of profit by categories ex: distribution channel, product grouping, geographical area (which will mp to one manager)

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7
Q

Name the types of experience to analyse

A

Demographic, economic, expenses, business volume, profit and return on capital
Note there are links between these

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8
Q

Give examples of demographic experience and business volume experience things that could be analysed

A

Demographic: Claims experience, persistency, lapses, surrenders
Business Volume: Conversion rate of: How many potential customers turn into actual customers.

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9
Q

Give an example of links between different categories of experience

A

Business volume and many expenses - more business means more expenses but also should mean more profit
Profit and all of the other headings

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10
Q

What are some sources of deviations in actual vs expected

A

Mortality, morbidity, withdrawal or lapse - in number or amount
Investment income and gains
Expenses
Inflation
Salary growth
Taxation
Premiums or contributions paid
New business levels

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11
Q

What are the key sensitivities in business model for general and life insurers?

A

General insurance: Key item is claims experience
Life Insurance: Hard to know if its risk or investment business.
General insurance: Key item is claims experience
For risk element: Claims experience and expenses are key
For investment business it is expense and persistence that tend to be crucial.

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12
Q

What are the key sensitivities in the business model for pension funds

A

Relationship between salary escalation and investment performance over the period for DB Pension Funds has direct effect on liabilities.

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13
Q

What are the key sensitivities in the business model for banking and health insurance

A

Banking: default on loans and pricing of credit risk (borrowing vs lending spread)
Health insurance: persistence and claim rates, including (medical) inflation in claim costs.

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14
Q

What is significant about pricing of health insurance in ireland?

A

Insurers in Ireland have premiums set which can only be changed based on their age so everyone aged 30 has to get the same pricing. The insurers avoid this laws by having lots of products with slight tweaks.

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15
Q

How to analyze experience: Process

A
  1. Establish the objectives
  2. Collect the data
  3. Analysis of Actual to Expected
  4. Validate results
  5. Report the results:
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16
Q

How can validating results be done?

A

Validating results is key but can be difficult: Could use consultants, industry data, recent hires from other companies.

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17
Q

How can one get an idea for expected experience

A

Expected experience is needed to analyse experience
A way to do this is to use a cash flow model, modelling all decrements
We also need all this original analysis to detail all assumptions made.

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18
Q

How might one analyse the demographic assumptions

A

Calculate the expected outcome, under best estimate assumptions in the model. Then compare actual claims with expected or actual lapses with expected.
Compare Actual to expected rates. But generally cannot estimate reliable rates as data too sparse - may need to group data.
Be aware: unusual outcomes whether good or bad could be an issue
Actuarial models typically have demographic assumptions rated by age, gender, and duration and other

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19
Q

What issues can arise when analysing the demographic assumptions

A

Incurred claims/lapses etc that are not reported can occur depending on the timing of notifications.
So some ‘appropriate’ time after period ends is needed before investigation AND make an explicit IBNR estimate
Should also compare long run trends and compare to your demographic experience.
Question arises: How much sub division can data support Balance between credibility and homogeneity.

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20
Q

What issues can arise because of data

A

How much sub division can data support Balance between credibility and homogeneity.
Data needed is : financial amount of occurrences AND the exposed-to-risk for that incidence. Mya have to wait a long time to get this or settle for less accurate analysis.
Audited data is more reliable
If grouping of data is used issues can arise if there is change in the composition fo the exposed to risk (so cannot aggregate data):
Underwriting standards changing with time
Selective lapse experience changing with time
Average premium size changing with time
Policies from different sales channels

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21
Q

How might a company analyze its critical illness claims experience

A

Exploring claim rates experienced vs assumed - may need to group experience is lack of data
Exposed to risk would be average of in force policies
Only dealing with a full year’s exposure with critical illness
Allowance for IBNR claims needed
Only business accepted at standard rates should be included
Experience Net and gross of reinsurance should be looked at
Analysis goals will split data into homogenous groups
Key levels to investigate are: sex, age, smoker status

22
Q

Why might the results of analysis not be indicative of future experience?

A

Underwriting standards change
Changes in sales process/target market may affect experience
Average premium size may have changed, if analysis is not split by premium size may skew results
Reductions in premium rates over period may have led to selective lapses, worse experience.
Changes in definition of critical illness
Claims admittance standards may have changed
Small volumes of data - may not be credible. Not sufficient data for indication of future trends.
Past trends may be caused by medical advances that will not continue
Future medical advances might improve illness detection

23
Q

What is the largest part of deviation between actual and expected experience usually.

A

The variation in economic experience accounts for the larger part of the overall financial variation - tends to be systematic risk within the industry which management cannot control.

24
Q

How will the analysis of expenses assumption be carried out?

A

Compare actual vs expected and then find where abnormalities are.
We wish to attribute expenses to each line of business/each policy
Generally accounts categorise expenses by type of expense and organisational unit. However we need to regroup expenses by product - timesheets?
Expenses usually attributed to number of contracts, except for marketing (relate to commission paid), underwriting and sickness and long term care claims (relate to size of benefit)
You spend more time investigating larger claims

25
Q

Why is the expense analysis so important

A

This tends to be a big contributor to profitability, gives competitive edge.
Biggest expense for businesses is usually salaries - want to get the msot work for the salaries theyre paying

26
Q

What are the types of expenses we can divide the business into

A

Commission is normally excluded from total expenses because it is known and directly attributable to each product
Initial expenses
Renewal expenses
Termination expense
Investment expenses

27
Q

What are the main expenses for a business

A

Salries, property costs, computer costs, inevstment costs

28
Q

What is required in a business volumes analysis

A

Need to analyse New business and in force business changes.
Important to understand actual vs expected behaviour
If a product is selling well: WHY

29
Q

How is profit analysed for the firm?

A

Rather than estimate ‘profit’ will estimate a product line’s ‘contribution to overheads and profit’.
Important to see that the product line is at least breaking even.
Key part of profit analysis and return on capital calculations is apportioning capital to different lines of business. Key is to consistently adopt one approach

30
Q

In analysis of ROC why can apportioning capital be difficult?

A

Apportioning capital to each line of business for analyses is tricky, as there are diversification benefits from having different lines of business that ensure the sum of capital required to support each separate line of business is (materially) higher than the overall capital required.
May assess which of these products are providing the diversification benefit

31
Q

What are some important thoughts to consider when interpreting analysis and experience

A

Heterogeneity of data
Gradual trends developing
Random fluctuations
New sources

32
Q

What management actions might the results of the analysis of actual vs expected experience prompt?

A
  1. Controlling expenses
  2. Reducing number of controls/lapsing/increases renewals.
  3. Reduce likelihood and severity of claims
  4. Reduce impact of large claims/random volatility in claims
  5. Maximise investment return
    6.Effective tax management
33
Q

What does it mean if company goes insolvent? as per regulation

A

Regulation of insurers require they meet capital standards,
Most likely firm are probably still economically solvent (able to meet the liabilities) but not able to meet the prudent provisions demanded by the regulator.

34
Q

How might regulator intervene if a firm is unable to meet required provisions

A

May not allow them to write new business
Demands an analysis of what went wrong.
A projection, under several different scenarios
Sale or merger with another insurer.
May wind-up company

35
Q

What is insolvency for pensions since the regulation of pension funds is different

A

Insolvency of the sponsoring employer or simply unwillingness to continue the scheme will cause it to cease.
Assets will not cover the transfer of the liabilities to a third party (insurer)
So transfer will be an amount of money in some way deemed to be equivalent to the benefits foregone.

36
Q

What are three reasons why valuations may change from a surplus to a deficit

A

Change in basis, inter-valuation experience and actions taken as a consequence of the previous surplus.

37
Q

What are reasons why change of basis would change valuations may change from a surplus to a deficit - how could one analyse

A

Run based on previous methods and compare what has changed between valuations.
Basis change can come in many forms: may have changed to reflect expected future experience, realistic assumptions are now different.
Fundamental change in approach maybe, method is therefore less optimistic
May be based on long term stable return and the other on market return.
Future investment returns to be linked to the underlying assets held or those regulator specifies for the liability profile.
The treatment of discretionary benefits could have been tightened up.

38
Q

What are reasons why change in experience would change valuations may change from a surplus to a deficit - how could one analyse

A

Asset values falling
Taxation privileges may have been reduced
Inflation or salary growth
The pattern of mortality or withdrawal experience could have been adverse
Redundancy or early retirement exercise
Transfers with insufficient assets.
Options or guarantees may have bitten.
Expenses of running the scheme could have increased.

39
Q

What are reasons why some event would change valuations may change from a surplus to a deficit - how could one analyse, what types of events might occur

A

The benefits for members could have been improved as a one-off cost or ongoing cost
Suspension of contributions to the scheme. surplus may have been refunded to the employer.
Tax must be paid on any
surpluses
May have been unanticipated expenditures
There may have been legislative changes
Data errors in the previous valuation that are now correct.

40
Q

Define underwriting

A

Underwriting is the process by which life insurance companies divide lives into homogeneous risk groups by using the values of certain factors (rating factors) recorded for each life.

41
Q

How does CLT work in insurance

A

If a product provider can pool independent homogeneous risks, then as a result of the Central Limit Theorem the profit per policy will be a random variable that follows the normal distribution with a known mean and standard deviation.

42
Q

Give some factors affecting mortality/morbidity

A

Age, sex, time,geographical areas, social class however these can eb proxies for the real factors causing differences:
Nutrition, Wealth and Income (good proxy for healthcare )
Education,Behaviour , Public, Heath, Medicine, Housing

Being in a couple gives a concentration or risk for certain products

43
Q

Explain how life offices and insurers use selection to their benefit

A

First, their offerings are often voluntarily top-up schemes to the basic state Benefits, so generally wealthier seek cover
Even before any medical underwriting, these lives are advantaged
Females have lower mortality rates than men of the same age but higher morbidity rates.
Active members in pension scheme have lower mortality as active employment means good health

44
Q

Name types of selection

A

Class selection
Time selection
Temporary intial selection
Adverse selection
Spurious selection

45
Q

Explain class selection

A

The population can be divided into classes, for example, male and female. The stochastic models (life tables) are different for each class.E

46
Q

Explain time selection

A

Time selection: Mortality and morbidity normally varies with calendar time, an effect observed at all ages. Tables based on the experience of earlier calendar years tend to have higher rates

47
Q

Explain temporary inital selection

A

A group can be defined by a specified event (the select event) happening to all the members of the group at a particular age.
The mortality or morbidity patterns in each group differ from the general population only for the first s years after the select event.

48
Q

Explain adverse selection

A

Adverse selection (or anti-selection) is the new policyholder taking advantage of inadequacies in a provider’s underwriting and pricing basis to secure better terms than is justified by the risk. Winners curse auction idea evident here.

49
Q

Explain spurious selection

A

When homogeneous groups are formed we usually assume that the factors used to define each group are the cause of the differences in mortality observed between the groups, however there be other true causes

50
Q

What is mortality convergence?

A

The variations in mortality rates by many factors are high at working ages…and can have a material financial impact on insurance companies. These variations have been seen to continue after retirement but reduce at the very highest ages: mortality convergence

51
Q

What are the decisions that can be made when presented with a risk

A

Accept
Declined or deferred
An addition may be made to the standard premium
A deduction may be made from the standard benefit
An exclusion clause

52
Q

What is a key concept in medical underwriting to ensure for costs

A

Office must ensure expense incurred leads to less of a loss due to better estimate of health of applicants