Objective 4 - Reserving Flashcards
Definitions of claim reserves and component parts
- Valuation date - the date at which reserves are estimated
- Incurral or loss date - the date the event which establishes a reserve or liability occurs (such as the date of disability)
- Service date - the date a service is actually rendered
- Reporting date - the date the claim is reported
- Payment date - the date payment is made on a claim
- Lag - the period of time between two dates
a. Reporting lag - the time between incurral and reporting dates
b. Service lag - the time between incurral and service dates
c. Payment lag - the time between incurral and payment dates
d. Accrual lag - the time between service and payment dates - Claim reserve - an estimate of the amount remaining to be paid on a claim for an event that occurred prior to the valuation date
Additional considerations in establishing claim reserves (in addition to ASOP #5 considerations)
- Incurral dating method
- Reserve basis - statutory, GAAP, and tax bases differ in their use of margin, interest rates, etc.
- Interest - reserves for claims with long payouts may be discounted to reflect interest
- Controls and reconciliation - the data should be tested for accuracy
- Insurance characteristics - reserves vary depending on the type of risk covered
- Reserve cells - set up separate cells for each homogenous category of business
- Managed care features - such as discounts and provider risk sharing arrangements
- Trends
- Seasonality
- Claim administrative expenses - set up a a reserve equal to a percentage of the claim reserve
- Morbidity assumptions - for long-term claims, morbidity is reflected in continuance tables
- Diagnosis-based tabular reserves - some companies have begun using different morbidity bases for different causes of disability
- Use of the case reserves method - very labor intensive, so only recommended for small blocks
Advantages and disadvantages of stochastic approaches for reserving
Advantages:
1. Provides explicit guidance for establishing provision for adverse deviation in the reserves
2. Provides guidance on potential variability in reported earnings and reserve levels
3. Allows for quantification of variability in items such as seasonality and claim trend
4. Allows for improved evaluation of reserve estimates (by knowing the variability of the estimate)
Disadvantages
1. Some audiences that are unfamiliar with this approach may have a false sense of confidence in the approach because of its sophistication
2. May be too complex to be used by all individuals who must perform related functions (such as forecasting and pricing)
3. Not every process can be modeled rigorously
Stochastic modeling techniques for reserving
- Fitting a parametric distribution to the data - this technique works best when the process being modeled is stationary over time
- Ordinary least squares regression - this allows for investigation of the effects of specific explanatory variables, such as trend or seasonality (limited applicability due to assumption of normality)
- Generalized linear models - these models improve upon ordinary regression models because they allow for cases when the dependent variable being modeled is either bounded (e.g., must be greater than zero) or not normally distributed
- Stochastic time series models - these are useful for handling situations where values are correlated across time (e.g., seasonal or cyclical patterns)
- Monte Carlo simulation - this approach is of significant practical value when combining results from any of the other techniques
Considerations when developing a stochastic approach to reserve estimation
- Availability of data - historical data is needed to validate the model and assumptions
- Appropriateness of data - consider whether the processes reflected in the historical data are representative of the process being modeled going forward
- Access to statistical software - lack of access to or understanding of modeling software will limit the available choices for modeling techniques
- Appropriateness of the model - this can be validated through goodness-of-fit testing, residual analysis, and hold-out sample evaluation
- Covariances of modeled estimates - when reserve estimates are calculated through component estimates, the covariance between these components must be estimated
Features of LTD and LTC contracts to consider when setting reserves
- Periodic benefits - benefits typically equal some specified monthly or daily amount
- Long-term benefit periods
- Elimination periods
- Optional benefits - these may affect the timing or amount of monthly payments (e.g., partial disability benefits and cost of living adjustments)
- Integration of benefits - these plans often coordinate benefits with Social Security and Medicare
- Limitations and exclusions - some claims are excluded (such as intentionally self-inflicted injuries) or subject to limited periods (such as mental and nervous claims)
Types of long-term claims and reserve methods
- Open claims - claims currently being paid (uses tabular reserves). Reserve = V(n) = Sum over t=n to BP(Benefit(t) * Continuance(t) * InterestDiscount(t)), where
Benefit = monthly benefit (may vary over time due to product provisions)
Continuance = the probability of a claim continuing to receive payments in the future
Interest discount = the factor to reflect the time value of money
n = current time period
BP = benefit period - Pending claims - claims that have been reported but payments have not yet begun.
Reserve for claims that are still in the elimination period = pending factor * tabular reserve
Reserve for claims that have completed the elimination period = pending factor * (tabular reserve + accumulated value of past payments not yet made) - IBNR claims = claims that have been incurred but have not been reported to the company. The reserve can be estimated using either the lag method or the loss ratio method.
Methods for evaluating claim reserve adequacy
- Runoff studies (commonly done by incurral year) - previous reserve balances are compared to subsequent claim payments and reserve balances, with adjustments for interest
- Actual to expected claim termination rate studies (commonly done by claim duration) - compares the actual claim terminations to the expected claim terminations based on the table used for reserving.
- Experience studies - typically involves a gross premium valuation. The reserve is adequate if PV of future gross premiums + reserve > PV of future claim cost
Health reserves definitions
- Active life reserves - contract plus unearned premium reserves for contracts not in claim status
- Claims adjudication - the process of determining eligibility for payment and establishing the payment amount
- Claim liability - established when the claim event has occurred but payment has not been made
- Contract reserves - the portion of premium collected in early durations that is intentionally designed to help pay for anticipated higher claims in later durations
- GAAP reserves - may use more realistic assumptions and include explicit methods of revenue matching
- Incurred date - date on which the obligation to pay was established (look at contractual obligation)
- Lag - period from incurral to payment
- Loss adjustment expense - the liability related to the cost of processing claims that have been incurred but not yet paid
- Premium deficiency reserves - set up when it is determined (using a gross premium valuation) that future premiums plus current reserves are not sufficient to cover future claims payments and expenses
- Provider liabilities - liabilities for withholds or other contractually-arranged payments to providers, not related to a single claim event
- Unearned premium reserves - premium collected but allocated to a period of time after the valuation date
- Valuation date - date as of which the statements, balances, and estimates are prepared
Types of reserve reporting
- Regulatory reporting - concerned with solvency and policyholder protection, so conservative
- GAAP reporting - “realistic with provision for adverse deviation”
- Experience reporting for employers and providers - typically less sophisticated except for financial settlement and pricing reviews. For settlements, allow a 3 month run-out period to minimize the size of the estimated reserve.
- Valuations for acquisitions - reserves are material to profitability, so they are often a focal point of negotiations. There is often a final settlement after several months to revisit the purchase price and assess the impact of claim reserves.
Types of claim liabilities and reserves
- Due and unpaid liabilities (reported, adjudicated, and processed, but not paid) - is usually small. Itemize or base on historical averages.
- In course of settlement - system may record receipt and run report. Otherwise, use simple method such as average claim times number of claims.
Incurred and reported = due and unpaid + in course of settlement - IBNR - project by using existing payment data to develop average expected claims or claim payment patterns
- Loss adjustment expenses - usually a percentage of unpaid claims liability
- Present value of amounts not yet due (aka “unaccrued”) - an estimate of future amounts due on known open claims (commonly for disability or LTC claims)
- Resisted claims - usually reserved seriatim assuming 100% of claim paid and possibly damages (usually in known litigation situations)
- Outstanding accounting feed (may overlap with due and unpaid liability) - acknowledged by unpaid
- Deferred maternity or other extended benefits - the loss is triggered before the valuation date, but benefits are deferred by contractual provisions
- Other special reserves - such as for waiver of premium due to disability
Methods of estimation for claim reserves
- Case reserves - direct enumeration on a claim-by-claim basis. Typically used only when there are very few claims. Can’t use for IBNR.
a. Examiner’s method - estimate ultimate payment and deduct what’s already been paid
b. Average size claim method - the number of reported claims times an average claim amount minus the amount already paid - Projection method (aka formula or factor method) - develop a historical claim rate as a function of some measure of exposure. Then apply this rate to projected exposure. The most common approach is: projected PMPM claim costs * member months - claims already paid
- Loss ratio method (aka claim cost method) - use wehre volume is low or to validate other methods. (loss ratio * earned premium = claims already paid)
- Tabular method - apply a factor to open claims to calculate reserve. Typically used for LTC or disability. Can’t use for IBNR.
- Development method (aka lag, completion, or triangulation method) - projects historical clam lag pattern into the future to estimate the reserve based on experience data
- Emerging development method techniques (see separate list)
- Stochastic approaches - methods where a probabilistic statement can be made about the level and adequacy of the reserve amount. Any of the methods discussed previously can be given a stochastic treatment.
Characteristics of coverages for which the development method works well
- Ability to record incurral and payment dates for each claim
- Fairly consistent lag patterns
- Short incurral periods relative to the ultimate run out (monthly is preferred)
- A sufficient volume of business in each cell, in order to obtain reasonably stable results
- Availability of either earned premium or exposure data (for volume adjustments and smoothing)
Steps of the development method
- Summarize data by incurral vs. paid month to get a claims triangle
- Sum cells of the claims triangle to get cumulative incurred and paid claims
- Develop age-to-age development factors (ratio of month to month cumulative claims)
- Can use various methods to smooth the age-to-age development factors (see separate list)
- Calculate age-to-ultimate development factors (called completion factors) from the smoothed age-to-age factors
- Divide each month’s paid claims by its completion factor to get ultimate incurred claims
- Subtract paid claims from the ultimate incurred claims to get unpaid claims liability
Smoothing methods to apply to development factors
- Simple averaging - average development factors for each lag month (3 month average is very current, 12 month average is smoothest but may bury trends)
- Removing bumps - throw out the high and low factors and use 6 of the last 8 or 10 data points. Or remove large “shock” claims from the claim triangle and analyze them separately.
- Weighted averaging - give more credibility to most recent results (sum of digits, squared sum of digits, constant declining percentage)
- Other types of means - harmonic (use the reciprocal of the “mean of reciprocals”) or geometric (the nth root of the “product of n observations”)
- Dollar-weighted methods (prior methods have been ratio weighted) - compute smoothed age-to-age factors directly by averaging the payment amounts for a given lag month and then dividing by the average for the prior lag month.
- Per member age-to-age ratios - before calculating age-to-age ratios, divide payments in each lag by the exposure for that lag. Then use one of the above methods.