Chapter 21 & 22: Setting assumptions Flashcards

(50 cards)

1
Q

Background on assumptions

What is the key reason assumptions are used for? (1)

What key risk does setting assumptions introduce? (1)

What kind of risks can be somewhat mitigated by appropriate matching of assets? (3)

A

Assumptions used by insurers for variety of reasons, mostly assessing eventual cost of liabilities

Setting assumptions may => parameter risk: want to reduce this

Not easy finding matched assets protecting from actual experience different to expected, can sometimes reduce following risks from investment matching:

(1) Investment risk: relates return required meet current liabs for future payouts
(2) Inflation risk: relates increase in inflation-linked liabs + liabs behaving approximately in line with inflation (eg expenses)
(3) Marketing risk: ability to satisfy PHs in relation to any investment-linked/discretionary benefits.

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2
Q

Best estimate mortality:

List 2 separate parts of mortality to be considered when setting best estimate mortality assumptions (2)

A

Base mortality: initial rate of mortality, the main demographic assumption for pricing/evaluating life insurance contracts

Mortality trend: how mortality rate changes over time

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3
Q

Best estimate mortality:

Outline a general process for setting assumptions (5)

A

(1) Investigate past experience; make past best estimate parameters; appropriate in context of historical conditions/then-circumstances
(2) Consider future conditions (including commercial and economic environment ) during period for which assumptions will be used
(3) Determine future best estimates assumptions, given expected future conditions
(4) Extent of (a) relying past data vs (b) allowing for other factors, depends on data credibility/relevance + parameter’s predictability
(5) Adjust best estimates with margin. Size of margin depends on:

+purpose for which model is required

+degree of risk associated with parameter

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4
Q

Two factors that a company needs to balance in deciding on the appropriate number of years of past experience to include in a mortality investigation.

A

Need to balance the following:

+Adequate volume of data to ensure credibility

+The heterogeneity of the data due to trends over time which may not be relevant

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5
Q

Best estimate mortality: base mortality derivation

Describe how to derive best estimate base mortality rates, in terms of What factors will influence future mortality experience (3)

A

Rates should reflect expected future experience of lives to be insured by contract being priced, in terms of

(1) target market: affected by distribution channel
(2) underwriting controls:
(3) change: since last historical investigation, to point assumptions will apply on average (usually 10 - 15 yrs)

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6
Q

Best estimate mortality: base mortality derivation

Describe how mortality rates are set including adjustments (7)

A

Base rates usually uses adjusted rates from standard table

(1) saves resources
(2) protects against errors eg inappropriate graduation
(3) sufficient data: analysis own experience=> derive adjustments
(4) data must be over enough years (adequate volume), but also few enough years (prevent excessive heterogeneity from trends over time)
(5) analysis divide data into relevant homogenous groups
(6) further adjustments if different experience expected from that which analysed data relate (targ market, underwrit, distr)

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7
Q

Best estimate mortality: base mortality derivation

What data sources can be used to adjust base mortality rates (6)

A

own past experience with that product,

own past experience with similar product(s),

reinsurance data

industry data i.e. standard tables

international data

national statistics

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8
Q

Best estimate mortality: base mortality derivation data sources

In using data for adjustments when deriving best estimate base mortality rates, list some pros/cons related to the following data sources which may be used:

Industry wide investigations (3)

Population mortality statistics (2)

Reinsurer data (5)

A

(1) Industry wide investigations
useful for contracts where

+insufficent volumes of own experience exist

+good for showing trends, since trends in own data might be due to statistical variation

+not 100% suitable since not based on insurer’s particular PHs

(2) Population mortality statistics

+useful for showing trends if re-examined at regular intervals in past

+not 100% suitable since not based on insurer’s particular PHs

(3) Reinsurer data
Ads
+access to mortality experience of many direct writers

+may be most relevant data available
Disads

+relates to large number of different companies

+may have little/no suitable data

+comes with a cost: cost of reinsurance

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9
Q

Best estimate mortality: mortality trends

What do we mean by ‘mortality trend’? (1)

State 2 circumstances where the estimation of future mortality improvements is particularly important (2)

A

The mortality trend relates to how the rate of mortality changes over time.

Estimating future mortality improvements is particular important:

(1) for policies with longevity risk e.g. annuities
(2) when rates are guaranteed rather than review-able

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10
Q

Describe how we might consider expected changes in mortality over time

Different approaches used to project mortality trends (3)

Considerations to the product (2)

A

(1) expectations: uses expert opinion + subjective judgement to specify range of future scenarios

+can implicitly include all relevant knowledge, including quantitative factors

+subjective and subject to bias

(2) extrapolation of historical trends
+project historical mortality trends into the future

+some subjectvity: choice of period to determine trends

(3) explanatory projection techniques,

+modelling bio-medical processes that cause death

+only effective to extent process understood and mathematically model-able

Considerations should also be given to the product e.g.
important for contracts +paying significant death benefit
+important for annuities where increased longevity is a risk
+not important for single premium savings contracts

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11
Q

Best estimate mortality: mortality trends

State how each of the following might be taken into account when making projections of future mortality:

(1) cohort effect
(2) the combined effects of multiple factors
(3) random effects

A

(1) Cohort effect
each year of birth cohort is modelled separately, allowing for specific mortality improvement rates by cohort (as well as by age and sex)

(2)Multi-factor effects
Use multi-factor predictive modelling techniques (eg. generalised linear models), accounting for personal attributes along with external factors affecting mortality, allowing for any correlations and interactions between them.

(3) Random effects
Use stochastic modelling (e.g. Lee-Carter or P-spline method)

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12
Q

Morbidity assumptions

What factors/kind of rates should we consider when setting morbidity assumptions (4)

A

Key factors/assumptions

(1) Disability incidence rate and duration for IP
(2) Incidence rate for CI
(3) Incidence and amount for LTCI
(4) Impact of benefit size on assumptions

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13
Q

Morbidity assumptions

Expand briefly on how size of benefit may impact morbidity assumptions (4)

A

For IP, CI, and most LTCI, benefit amount fixed, so no assumption needed for this

But may be correlation between incidence rates and benefit size

Only for very large policies, may insurer want to alter assumptions, to relfect better claims experience from
+PH belonging to higher socio-economic class

+stricter level of underwriting

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14
Q

Morbidity rates: Disability incidence and duration for IP

Describe how these rates may be determined (4)

What factors might affect the transition intensities (5)

Describe how rates are used (2)

Describe issues surrounding estimating these rates (3)

How might we control parameter uncertainty for these rates? (3)

A

(1) Benefits for IP can be modelled using a multi-state approach

​​needs transition intensities (claim inception, recoveries, death)

calculated for homogeneous groups

+duration: recovery may differ vastly by duration in force

+disability type: recovery may dif vastly by disability type
may seperate

+second/subsequent incidences: as more likely to claim in future

(2) Intensities influenced by

+PH characteristics: identified at underwriting

+prod design features: replace ratio/rehab benefits

+economic morale: low => more likely claim

+government welfare provision

+tax: on premiums (discourage sales), relief on prems (enoucourage sales), way insurer is taxed, tax rates involved changing over time

(3) Intensities used to calculate transitions probabilities

+then construct projected numbers/proportions in each state at future ages.

+can be used to calc claim inception rates/disability annuity values

(4) Issues surrounding estimating rates

+Data limitations is the main issue

+Published insurance incidence data has limited credibility

+Worldwide stats may not be relevant

(4) Controlling parameter uncertainty

+Assuming larger risk margins

+Issuing products with review-able premiums/charges

+Reinsurance

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15
Q

Morbidity rates: Incidence rate for CI

What factors influence claim distribution rates for CI (4)

What kind of factors complicate modelling/setting of assumptions (2)

A

May be necessary to estimate significant number of distributions (40+) if each condition modelled separately, plus allowance for future trends

Other influences claim distribution (other than trends), include

+advancement in medical science (cures=> more windfalls)

+diagnosing conditions earlier (more claims)

+simple/more readily available operations (more claims)

+influence new and existing business separately
new business, can adjust premiums accordingly

+existing business, can only adjust in force prems if revieawable

Factors which complicate modelling/setting assumptions

+may need to separately model claims definitions which are disease-based and/or treatment-based (eg coronary artery bypass, major organ transplant, heart valve replace)

+guaranteed and review-able alternatives

+lack of data, only cancers/heart attacks will provide enough data…otherwise hasn’t really been around long enough

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16
Q

Morbidity rates: Incidence and amount for LTCI

What key assumptions do we need to estimate for LTCI? (2)

What are important factors for LTCI contract assumptions? (5)

What issues arise when estimating necessary assumptions? (3)

A

1) Claim Frequency: It is necessary to estimate the distribution of claim frequency.
* Claim Amount: It is necessary to estimate the distribution of claim amount, particularly in situations involving funding for care.

2) Claim frequency
Claim amount
The economy
Inflation
Capacity of long-term care facilities
Advances of medical science
Inflation of care costs

3) Little data on claim frequency: There is insufficient data available on which to base estimates of future transition rates. This is noted as a major difficulty with LTCI business in many territories.

Absence of insurance statistics: There is a lack of suitable insurance statistics available to actuaries.

Lack of control over claim amount for indemnity products: For indemnity products, the insurer has little control over the claim amount, unless there is a cap on the weekly or monthly benefit

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17
Q

Investment return:

List 4 factors that affect the value assigned to the investment return assumption when pricing a life insurance contract.

A
  1. The significance of the assumption for the profitability of the contract. This significance is determined by two aspects: the level of reserves built up and the investment guarantees given under the contract. If there is very little sensitivity to the investment assumption, the actual value chosen would not be critical. The larger the reserves, the greater the proportion of total cashflow (and profit) that arises from investment income, increasing the sensitivity to changes in investment return.
  2. The extent of the investment guarantee given under the contract. The nature of the investment guarantee influences the types of assets in which the premiums from the contract will be invested. The more onerous the guarantee, the more cautious the life company should be in its asset selection, which is then reflected in the investment return assumption.
  3. The extent of any reinvestment risk and the degree to which this risk can be mitigated by a suitable choice of assets. If the reinvestment risk is less important, less account needs to be taken of future investment yields. Reinvestment risk refers to the uncertainty of the return obtainable from future investments.
  4. The intended investment mix for the contract, as influenced by the factors above, along with the current return on the investments within that mix and the likely future return. The assumption must reflect the expected balance between expected future and current investment yields
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18
Q

Investment return: Market consistency

For a contract that is priced using a market-consistent approach, how do we set investment return assumption? (3)

Comment on this process specifically for stochastic modelling (2)

Comment on this process specifically for deterministic modelling (3)

A

1)
1. The expected investment return is generally set as the risk-free rate.
2. This approach, known as the “risk neutral” calibration approach, is applied regardless of the actual underlying assets held.
3. The risk-free interest rates used for the discount rates are typically modelled as being term dependent

2)
1. While the expected investment return is calibrated to the risk-free rate, additional assumptions are required for the investment return volatility and correlation.

  1. These volatility and correlation assumptions are dependent on the actual underlying asset type(s) held. For instance, if pricing a maturity guarantee on a unit-linked fund, the volatility and correlation assumptions would be calibrated to the assets backing that unit fund.

3)
1. A market-consistent value is obtained by discounting using the risk-free rate appropriate to the term of each cashflow.

  1. In this specific context, the actual assets we intend to hold are irrelevant for setting the investment return assumption.
  2. Since the risk-free rate is used as the discount rate, it is likely that some form of margin would be included in respect of other parameters (such as expenses, persistency, and mortality) to allow for the inherent risks in their estimation.
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19
Q

Non-marginal expenses + commission:

What is the general principle when setting expense/commission assumptions? (1)

How might the expense assumptions be determined? (3)

Comment on the use of an expense model (1)

Comment on how fixed expenses should be catered for (1)

Give examples of marginal expenses which may arise (8)

A

1)
The general principle is that the parameter values for expenses should reflect the expected expenses to be incurred in processing and subsequently administering the business to be written under the product being priced.
Furthermore, commission assumptions are set by the company and should take into account the rates of commission normally paid in the market in which the company intends to sell the product

2)
1. Analysis of Recent Company Experience: The values are determined after analysing the company’s recent experience for the relevant type of business. This analysis divides expenses by function and by whether they are expected to be proportional to premium/benefit or expressed as an amount per contract.
2. Use of External Data: If the company lacks sufficient or suitable recent experience, the parameter values may be based on data from a similar type of business, or on industry data or data from a life reinsurance company.
3. Construction of an Expense Model: More commonly, the expected expenses are derived from the construction of a suitable expense model

3)
An expense model is essentially a projection of the staff structure and associated overheads (such as buildings, systems, etc.). The output of this model is used in conjunction with expected new business volumes (and expected in-force volumes) to yield suitable per-policy or per-premium costs. These results are often tested for reasonableness by comparison with industry averages.

4)
The expense loadings should contain some contribution to the company’s fixed overheads. Each policy must contribute to the fixed costs of the life company. Fixed overheads are defined as expenses not covered in the marginal categories, although the distinction between marginal and fixed is subjective (e.g., property costs for the “new business admin” department could be marginal or fixed)

5)
1. Initial acquisition (e.g., initial commission and related sales costs).
2. Initial medical underwriting.
3. Initial administration.
4. Renewal administration.
5. Renewal reward to sales channel (i.e., renewal commission, or similar).
6. Investment.
7. Withdrawal / paid-up expenses.
8. Claim / maturity administration (often known as termination expenses).

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20
Q

What is a key risk when setting per policy expenses? (1)

Describe 3 methods of allowing for expenses that do not vary by policy size when setting premium rates or charges (3)

A

1) how to incorporate into the charging structure the expenses which do not vary by size of contract. This causes an inequity where small policies are under-priced, and large policies are overpriced, as the per-policy administrative and sales costs are incurred regardless of the policy size

2)
1. Individual calculation of premium rates or charges: With this method, the actuary calculates the premium or charges using the actual benefit level, age, term, etc., for the policy in question, loading explicitly for the per-policy expenses. This is typically done only for large cases, as pricing very small policies this way results in a large percentage of the premium being expense loading, making the premium rate seem unreasonably large.

  1. Policy fee addition to the premium: For non unit-linked contracts, a policy fee is added to the premium (or deducted from regular benefit payments), or charges that match the per-policy expenses are used for unit-linked contracts. The policy fee is intended to represent the per-policy expense costs, with the premium rate covering only the proportionate expenses. This policy fee may need to be reduced from its theoretical level for small policies to maintain competitiveness and reasonableness. If reduced, the contribution to expenses determined as a percentage of premium would need to be increased to compensate, though such modifications increase risk for the company. This is the most common approach.
  2. “Sum assured differential” or Premium banding: For non unit-linked contracts, different premium rates are charged depending on which band the requested benefit falls into. For unit-linked contracts, different charges (e.g., allocation rates) are applied based on which band the payable premium falls into. The same concept can also be applied to premium size on non-linked contracts. For instance, in one example, a discounted rate might apply to premiums in excess of a certain threshold.
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21
Q

Expense inflation:

What will primarily affect the inflation assumption, and why? (2)

What 2 ‘periods’ for should be considered when setting the expense inflation assumption? (2)

List 5 factors that will considered when setting the expense inflation assumption for pricing (5)

A

1) Earnings (rather than price) inflation because the insurance company’s costs are staff costs

2)
1. The inflation of expenses during the term of a future new policy, running from the issue date to its termination date.
2. The inflation of all expenses between “now” (the date at which the premium rates are being set) and the dates at which the future new policies are actually issued

3)
1. Current rates of inflation, covering both prices and earnings.
2. Expected future rates of inflation.
3. The differential between the return on government fixed-interest securities and on government index-linked securities, where such securities exist (this is an approximate way of estimating expected future inflation).
4. Recent actual experience of the life insurance company or industry.
5. The requirement that the inflation assumption must be consistent with the future investment income assumption.

22
Q

Persistency

Outline how to set the persistency assumption when pricing a product (7)

A
  1. Reflecting Expected Future Experience: The primary goal is that the persistency assumptions (full withdrawal, partial withdrawal, and paid-up rates) should reflect the expected future experience in respect of the contracts that will be taken out.
  2. Analysis of Company Experience: The assumptions will be based on an analysis of the company’s recent experience.
  3. Substitution of Data: If the company has no suitable experience or inadequate data, the experience under any similar contracts should be analyzed. If the company still does not have adequate data, industry-wide experience may be used.
  4. Allowance for Special Factors: The results of these data analyses must be assessed to see if they have been affected by special factors, such as an adverse economic situation in the country (e.g., changes in withdrawal rates due to rumours of mutual life companies demutualising and subsequent windfall distributions).
  5. Adjustments for Expected Differences: Adjustments may need to be made if the rates are to apply to a class of lives that is expected to have a different experience from that to which the analyzed data relates. This situation could arise due to a change in the benefits being offered, the target market, or the distribution channel.
  6. Integration with Pricing Model: If deriving premiums using a formula approach, it is unlikely that any allowance will be made for withdrawals. However, the resultant premium rates must be profit tested, and the basis for this profit testing will need to incorporate suitable persistency assumptions.
  7. Addressing Uncertainty: Because future withdrawal rates are significantly influenced by economic and commercial factors, they are subject to considerable uncertainty. Therefore, it is essential to explore the sensitivity of the company’s profits to variations in the future withdrawal experience.
23
Q

Persistency:

What changes to benefits might lead to increased withdrawals? (6)

How might distribution channels impact withdrawals? (5)

A

1)
1. Guaranteed Surrender Values: Increased withdrawals can result if a product redesign involves not offering, or at least minimising, any guaranteed surrender values under a non-linked contract.

  1. Less Generous Discontinuance Terms: Withdrawal rates can be affected by the discontinuance terms offered to the policyholder. Less generous terms (e.g., lower guaranteed surrender values, especially if small or negative at early durations) could prompt withdrawals.
  2. Lower Expected Bonus Levels: For policies that are affected by them, changes to bonus levels can influence withdrawal rates. If the expected future bonuses or payouts are reduced, policyholders may be more likely to withdraw.
  3. Commission Clawback: Although related to company design, the impact of high withdrawal rates can be reduced by using a commission system with some “clawback” (return) of commission for early withdrawals. If the terms of early withdrawal become more punitive (or perceived as such), it may still reflect in higher discontinuance rates once the policyholder decides to leave.
  4. Complexity of Benefits/Options: A product that is difficult to understand, perhaps due to overly complicated or confusing benefits (“bells and whistles”), will be unattractive and lack of clarity may hinder the sale of the product. Although not a direct cause of withdrawal, initial lack of understanding could lead to disappointment and lapse.
  5. Asset Falls and Surrender Guarantees: High withdrawal rates often occur alongside asset fall scenarios. If the generosity of guaranteed surrender values is quantified by assessing its impact under various asset fall scenarios and high withdrawal rate scenarios, a change or perception of the riskiness of the underlying asset performance could lead to increased policyholder withdrawal, especially if the guarantees are less onerous than previously offered.

2)
1. Target Market Definition: The target market for a contract is dependent on the distribution channel involved. Since persistency experience varies across different classes of lives, the channel fundamentally dictates the expected withdrawal experience.

  1. Sales Quality and Product Understanding: The intended distribution channel dictates the suitability of the product’s complexity. For instance, a life company would not attempt to sell anything complicated by direct marketing methods because lack of clarity or difficulty in understanding the product can hinder sales. If complex products are sold through channels unsuited to explaining them, this could lead to poor persistence.
  2. Pricing Structure: The distribution channel influences how the product should be priced. The company must decide whether to use the same pricing (or persistency assumption) for all channels or use “dual pricing”. The underlying pricing structure (e.g., high commission paid early on) may influence sales behaviour which, in turn, affects withdrawal rates.
  3. Change in Channel Requires Adjustment: If the company changes its distribution channel, this situation requires adjustments to be made to the persistency assumptions, as the class of lives is expected to have a different experience than historical data relates to.
  4. Market Competitiveness/Price Sensitivity: Some distribution channels are more price sensitive than others. If prices are set very low to be competitive in a specific channel (e.g., brokers), relying on minimal margins, the overall profitability is highly dependent on achieving expected sales volume and managing costs. Failure to achieve expected persistency in such a high-volume, low-margin channel poses a significant risk.
24
Q

How might we allow for risk in the use of parameters in pricing? (3)

What key factors influence the margins to use? (3)

A

1)
1. Through the risk element of the risk discount rate. This approach involves using best estimates for the individual parameters but including margins for risk by assuming a higher risk discount rate than the risk-free rate.

  1. Through using a stochastic approach. This involves using best estimates for parameters and a risk-free discount rate, but allowing at least one parameter to take a range of values from a probability distribution instead of a constant value. The company then chooses a price based on a chosen percentile of the resulting range of possible charges or premiums (e.g., the 60th percentile).
  2. Through assessing what margins to apply to the expected values. Under this approach, margins could be incorporated in the assumptions for each individual parameter, and the risk discount rate would theoretically be the risk-free rate.

2)
1. The degree of risk associated with each parameter used. This relates to how likely or how big an adverse change in a variable might be.
2. The financial significance of the risk from each parameter. This relates to the financial impact that the change in the variable might have.
3. The need to have competitive premiums. While margins must reflect risks, they are also influenced by market requirements.

25
Profit requirements: Explain what is meant by the term risk discount rate (5)
1. Composition: A risk discount rate is the expected rate of return that investors demand, which is equal to the risk-free rate plus a risk premium. 2. Shareholder Return: It reflects the return required by the shareholders on the capital they invest in the insurance company. 3. Compensation for Risk: The risk premium component is required to compensate the investor for the risks inherent in investing in a life insurance company, such as risks of commercial failure and default. 4. Pricing Tool: The RDR is a number that is simply used as a criterion in profit testing within pricing models. 5. Risk Reflection and Standard: The risk discount rate must be higher than the risk-free rate, and the margin between these two rates should attempt to reflect all sources of risk in the product. It is set to ensure that the rate of return from the product is satisfactory, given the inherent variability of the return and the required return on capital
26
Profit requirements: Deciding on a risk discount rate using statistical methods Why can't we simply use CAPM? (2) What might affect the riskiness of products/projects undertaken by insurer? (6)
1) the CAPM result provides the overall rate of return ($\text{E}_i$) that shareholders expect from investing in the company as a whole to compensate for systematic risk. 2) 1. Lack of historical data: This increases parameter risk regarding future experience assumptions. 2. High guarantees: Products offering high guarantees expose the company to greater liability risk. 3. Policyholder options: These features (e.g., options to surrender or switch funds) introduce anti-selection risk and uncertainty regarding future cashflows. 4. Overhead costs: Products involving significant or uncertain overhead costs increase financial risk. 5. Complexity of design: Complex products are harder to model, administer, and understand, potentially increasing operational and parameter risk. 6. Untested market: Launching a product into an untested market carries high commercial risk and uncertainty regarding expected volumes and persistency.
27
Profit requirements: Deciding on a risk discount rate using statistical methods How might we use a statistical approach to asses the insurer's risks and allow for them in the RDR? (4)
1. Analytical Assessment of Parameter Variances: The statistical risk ($\text{Var}[R]$) can be quantified analytically by considering the variances of the individual parameter values used (such as interest, mortality, withdrawal levels, and expense inflation). This method determines the variance of the rate of return by assessing how the variance of these important parameters influences the projected profit. 2. Stochastic Models and Simulation: This method involves using stochastic models for some, or all, of the parameter values and simulation. The important parameter values are varied stochastically according to their assumed probability distribution, and the rate of return is re-computed for each new scenario. Repeating this process many times (e.g., 1,000 times) provides a good indication of the variance of the rate of return. This approach is the numerical equivalent of the analytical approach. 3. Deterministic Sensitivity Analysis: This approach utilizes sensitivity analyses with deterministically assessed variations in the parameter values. The method determines which changes in assumptions (e.g., an increase or decrease in mortality rates) the profits are most susceptible to. The actuary then identifies the increased parameter value that subjectively corresponds to a specific low probability level (e.g., 5% probability level) and tests whether the return on capital under this scenario is still greater than the minimum acceptable return. 4. Comparison with Market Data: The level of statistical risk determined through other means could also be assessed by comparison with any available market data.
28
29
In the first chapter on setting assumptions, we considered setting assumptions for pricing. What other exercises may we construct basis for? (4)
Published results Supervisory reserves Internal management accounts Embedded values
30
Valuing liabilities: overview Broadly speaking, how do we value the liabilities of a life insurer? (4)
Broadly speaking, determined as PV of Future benefit outgo plus claims expenses (including commission) plus taxes (if appropriate) less future premiums
31
Valuing liabilities: overview What implication does increasing/decreasing the discount rate have on calculation of liabilities? (3)
Impact of changes in the discount rate all things being equal, decreasing (increasing) the discount rate, will increase (decrease) degree of prudence for a positive reserve decreasing (increasing) the discount rate, will decrease (increase) degree of prudence for a negative reserve, where this is permitted
32
Valuing liabilities: Published accounts, key considerations State the factors to consider when deciding assumptions for determining the value of liabilities to show in an insurance company’s published accounts (6)
For country concerned, consider +legislation +accounting principles Matters to consider (1) going concern or break-up basis (2) required to show a true and fair value? (3) best estimate basis or some other basis? (4) precisely how terms used are to be interpreted
33
Valuing liabilities: Internal management accounts, key considerations State key driver that should determine the pricniples to be followed for determining the value of liabilities for internal management accounts (1) State the most likely aim of such a valuation. (1)
Key driver should be discussion with insurance company about the principles to follow, based on the purpose for which the internal accounts are required Most likely aim is to have best estimates of the company’s financial performance, based on realistic assumptions.
34
Valuing liabilities: Supervisory reserves, key considerations How might rules governing the solvency supervision process relate to rules for published accounts? (1) Key considerations for supervisory reserves (4)
If separate accounts required during process solvency supervision process , rules for preparation of separate accounts may/may not be same as rules for published accounts… Key considerations +for example may be required to use different basis (going-concern/break-up basis) +Should reference rules & guidance which was issued needing interpretation +will most likely be certain assumption restrictions which are either specific (valuation interest rates must equal premium basis rate) general (do valuation as wish, subject to not lower than X basis) +usually require prudent basis, some jurisdictions moved to market consistent approach
35
Valuing liabilities: going-concern vs break up basis
going concern assume insurer continues issuing new business into future break-up +assume new business cease immediately, or at some point in future e.g …closed fund by company, or.. …transfer liabilities to another insurer, who will administer/process claims until book runs down
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Reserving basis vs pricing basis: uncertainty in assumptions What’s a key difference between setting assumptions for pricing vs reserving in terms of information available? (1)
Key difference is that in force policies can provide important information for setting reserving assumptions (compared to pricing assumptions)
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Reserving basis vs pricing basis: uncertainty in assumptions What kind of useful info can in force policies provide for setting assumptions?
Demographic assumptions +already know who PHs are => good info about class of lives +historical experience investigation likely to indicate future experience well (if data volume credible) +hence less uncertainty in assumption than for pricing’ Expense assumptions +should be easier to assess for reserving because no future initial expenses +less uncertainty over volume/mix of future business +but share of fixed expenses covered by existing PHs affected by new policies expected… +…so expense assumption still has some uncertainty
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Reserving basis vs pricing basis: using pricing assumptions for supervisory purposes What is relationship between pricing and reserving assumptions in some countries? (1)
In some countries, standard practice uses prudent assumptions for pricing/premiums, then same assumptions or supervisory reserving
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Reserving basis vs pricing basis: using pricing assumptions for supervisory purposes What is impact on WP products of using pricing assumptions prudent enough to also be used for reserving? (1)
For WP products, surplus will emerge from actual experience being better than that assumed in prudent assumptions ie. even if margins are high, surpluses from experience can be given back to PHs through bonuses
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Reserving basis vs pricing basis: using pricing assumptions for supervisory purposes Why would prudent pricing basis strong enough for supervisory purposes be problematic for without profits business? (1)
Less appropriate for without-profits products as overly high margins => uncompetitive, hence usually small margins are used, meaning pricing basis cannot be used for supervisory solvency
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Valuing liabilities: Embedded value, key considerations Define embedded value (4)
Embededed value is defined as sum of: +shareholder-owned share of net assets +present value of future shareholder profits from existing business, including release of shareholder assets EV essentially recognises value of assets in excess of reserves and value to shareholders of future margin releases from reserves
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Valuing liabilities: Embedded value, key considerations Why might we need to calculate embedded values? (2)
May need embedded values for +published accounts as supplementary info +internal management accounts
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Embedded Value: Calculation Shareholder owned share of net assets (6)
Net assets are defined as the excess of assets held over those required to meet liabilities. These assets may be valued at market value or may be discounted to reflect lock-in, e.g. if they are required to be retained within the fund to cover solvency capital requirements. The value of the reserves (used in NAV) needs to be consistent with the assumption used in determining the emergence of future profit.
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Embedded Value: Calculation PV of future shareholder profits List components that make up the present value of future shareholder profits from existing contracts, for the following types of business: conventional without-profits (3) unit-linked (2) with-profits (1)
1)
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Define appraisal value (2)
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Embedded Value: Assumptions What is the key determinant of assumptions used for EV? (3)
1. The Application or Purpose of the Basis: The most important determinant is the application, or purpose, of the basis for which the assumptions are being set. The sources explicitly list "ongoing profitability measurement" as one such application, which requires certain considerations (such as the extent to which margins for adverse future experience are needed). 2. Expected Future Experience (Best Estimates): The core part of the process is the determination of what future experience is expected. The derivation of assumptions for future experience follows a framework where historical estimates are adjusted to determine the best estimates of the assumptions, given the expected future commercial and economic conditions. These best estimates serve as the starting point for setting the value of any parameter. 3. Principle of Consistency: The assumptions need to be considered in their totality, guided by the principle of consistency. This means ensuring that realistic allowance is made for the way variables behave together where correlations exist between them. For example, the expense inflation assumption must be consistent with the future investment income assumption, and the long-term relationship between the rate of expense inflation and the rates of return on different asset types must be valid.
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Embedded Value: Assumptions What 2 different kinds of basis do we need for EV calculations? (2)
1. A basis reflecting the Best Estimates of future experience. This involves investigating historical experience and determining the most likely values given expected future conditions. 2. A basis incorporating margins for prudence. The best estimates may need to be adjusted in order to include a margin for prudence. The size of any margin incorporated depends on the purpose for which the model is required, which in this context is ongoing profitability measurement.
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Embedded Value: allowing for risk What approaches may be used to allow for risk we need to include for the 2 basis needed for the EV calc?
1. Allowing for Risk through the Core Assumptions (The "Best Estimate" Basis) The core assumptions for future cashflows (like mortality, expenses, and persistency) must be determined based on expected future experience. Risk can be incorporated here using parameter margins: * Applying Margins to Expected Values: The actuary can choose to assess what margins to apply to the expected values of individual parameters. Under this approach, margins are incorporated into the assumptions for each individual parameter, and the risk discount rate would theoretically be the risk-free rate. * Use of Stochastic Models (for Risk Quantification): Although used primarily to determine the required return (RDR), stochastic models can be used to set the parameter values themselves. The parameter would take a range of values from a probability distribution, and the resulting price or profit metric could be chosen based on a specific percentile (e.g., the 60th percentile) to allow for risk. 2. Allowing for Risk through the Discount Rate / Valuation Method (The "Risk/Discounting" Basis) The risk associated with the timing and uncertainty of the future cashflows is typically managed through the discount rate or an explicit risk adjustment: * Using a Risk Discount Rate (RDR): The risk can be allowed for through the risk element of the risk discount rate. This involves using best estimates for the individual parameters but including margins for risk by assuming a higher risk discount rate than the risk-free rate. The margin between the RDR and the risk-free rate should attempt to reflect all sources of risk in the product. * Using a Market-Consistent Valuation (Risk Margin): An alternative approach is to perform a market-consistent valuation of the cashflows using the "risk neutral" approach. This involves using risk-free interest rates for the discount rates. Risk allowance is then made by including some form of margin in respect of other parameters (such as expenses, persistency, and mortality) to allow for the inherent risks in their estimation. This approach may also involve calculating a specific risk margin.
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Embedded Value: compared to Best Estimate What are the key differences between Embedded Values and Best Estimate Values? Best estimate basis (3) Embedded value basis (3)
1) 1. Reflecting Expected Future Experience: The key part of the process is the determination of what future experience is expected. The derivation process involves determining what the best estimates of assumptions will be. 2. Reliance on Historical and Future Conditions: Assumptions are based on investigating historical experience to make best estimates, which are then adjusted considering expected future commercial and economic conditions. 3. Exclusion of Prudence Margins (Generally): This basis represents the core estimate of future values (like the interest rate $i'$) before any margin for prudence is explicitly included. 2) 1. Application Dependence: The basis is dictated by the specific application, which is ongoing profitability measurement. 2. Inclusion of Prudence Margins: The best estimates may need to be adjusted in order to include a margin for prudence. The inclusion of margins (whether in individual parameters, the discount rate, or chosen percentile) is necessary to ensure the resulting profit emergence is satisfactory given the inherent risk. 3. Consistency Requirement: It requires strict adherence to the principle of consistency, meaning that assumptions must be considered in their totality, making realistic allowance for how variables behave together (e.g., correlations between investment return, inflation, and tax treatment).
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Setting the following assumptions: 1. Expenses 2. lapses 3. Expense inflation 4. Mortality trends 5. Margin 6. profit margin 7. mix by distribution channel 8. volume of business 9. Average sums assured
1.  The expense assumptions will be very different to those for your existing product.  However, the total expenses may end up being similar.  You do not need to make an allowance for commission.  You need an estimate of the total marketing costs for the period over which you are doing the pricing.  The take-up of policies per campaign / per Rand spent on marketing is a key assumption.  The sums insured will be lower than for the existing product, so you will need to consider carefully how to spread the expense per policy.  The underwriting expenses will be significantly less than for the existing product.  You will need to make an allowance for the cost of the IT development of the on-line offering, and the cost of the call centre. 2.  The lapses are likely to be significantly different from those on the existing product.  There are no intermediaries to keep the relationship with policyholders “warm”.  It is likely that there will be a high percentage of Not Taken Ups (NTUs).  The existing product’s lapse rates can be used as a starting point, but some margins should be built in to this.  Consider the lapse rates of any other limited underwriting / direct product offerings the company has.  Reinsurers may also be able to assist with setting this assumption 3.  This could be similar to the existing product.  A good starting point could be CPI or salary inflation. 4.  There are likely to be very little data in the sub-Saharan country.  You could consider the company’s existing data to detect any macro trends.  It would be worth looking at trends in the country.  You could approach a reinsurer for assistance. 5.  There is a lot more risk in the new product, so higher margins than used for the existing product would be required.  Higher margins will be required in respect of the assumptions where there is the most uncertainty. However, this will be restricted by the need to make the new product competitive.  If the business is reinsured this may reduce the need for margins. 6.  As above, you would want to load this, but within reason.  The profit margin could be the same as that for the existing product if you have allowed for sufficient risk margins.  It will also depend on the value placed on getting a foothold in this market.  Consideration should also be given as to the impact on the existing product. 7.  Some sensible assumption for the mix will be required.  Sensitivity testing should be carried out. 8.  Consider the existing sales volumes and consult with the company’s marketing staff to get an initial estimate.  Consider how well such business has been doing in the country as a whole.  Reinsurers may be able to provide input on this.  Sensitivity testing will be important. 9.  The current average sum assured would give an upper limit to the estimate.  It might be possible to work backwards from an expected affordable premium.  Sensitivity testing should be carried out.