Assumptions and Monitoring Flashcards
Mortality assumption
Final Mortality Rate (% of base table) = Base Table Rate × Selection Factor × Underwriting Class Factor × Size Factor × Socioeconomic Factor × Trend Factor × (1 + Prudential Margin)
Claim incidence rates
State transition monitoring uses internal transition experience supplemented by industry studies.
The process analyses movements between different health states, considering duration in each state, age effects, and recovery patterns.
Base rates are adjusted for medical advances and treatment effectiveness.
Key trends include improvements in medical care and changes in care protocols.
The final rates incorporate duration effects, age factors, treatment impacts, and recovery patterns, plus prudential margins.
Claims investigations
Claims investigations could refer to death benefits, or disabiltiy benefits.
The mortality assumption is important in these instances:
- early death in term assurance benefit (not enough premium collected yet0
- in claim state (for LTC and pensions)
- during survival period of CI as determines how many people survive to claim
Morbidity monitoring
The monitoring process focuses on calculating both crude inception rates (becoming disabled) and recovery rates (ceasing to be disabled). These are compared against expected rates for each risk category. Analysis is performed by cause of disability to identify any changing patterns. The average claim duration is tracked, and trends in medical treatments that might affect recovery rates are monitored. Special attention is paid to changes in workplace conditions or disability definitions that might impact experience.
Persistency assumption
Persistency assumptions typically start with the company’s target lapse rates based on pricing. These are adjusted for expected market competition effects and economic factors. Duration-based adjustments are crucial as lapse rates often vary significantly by policy duration. The rates might also vary by distribution channel and premium payment method, requiring specific factors for each combination
Persistency monitoring
Persistency monitoring calculates actual lapse rates by policy duration and analyzes them against expected rates. The analysis considers premium size and type, with particular attention to any selective lapse patterns. Market condition impacts are closely monitored, especially competitor actions and economic changes. Premium increase impacts are tracked carefully, and any signs of anti-selection in lapses are investigated.
State transition rates monitoring
State transition monitoring calculates actual transition rates between different health states and compares these to expected rates. The average time spent in each state is tracked, and recovery rates are monitored by cause of claim. Entry age patterns are analyzed, and claim termination rates are reviewed regularly. Changes in care practices or medical treatments that might affect transition rates are closely monitored.
Claim amount assumption
Claim amount monitoring focuses on actual claims history and provider fee schedules. The process analyzes trends in treatment costs, provider contracts, and medical inflation. Base amounts are determined from recent experience, then adjusted for changes in treatment protocols and provider arrangements. The analysis must consider both frequency and severity trends separately. Final claim amounts include severity factors, treatment effects, provider impacts, and inflation adjustments.
Expenses assumption
Expense assumptions begin with analyzing recent company cost data, carefully separating fixed and variable components. The process involves determining an appropriate basis for spreading fixed costs across policies and calculating percentage-based loadings for variable costs. Expected inflation is incorporated, and volume assumptions are crucial for unit cost projections. Different expense types (acquisition, maintenance, investment, claims) each need their own assumption basis and allocation method.
Expenses monitoring
Expense monitoring involves tracking actual versus budgeted expenses across all categories. Unit costs per policy are calculated and compared to assumptions, with separate analysis for acquisition and maintenance costs. Expense ratios are regularly reviewed, and allocation bases are validated to ensure they remain appropriate. Any significant deviations are investigated to understand whether they represent temporary fluctuations or permanent changes requiring assumption updates.
Inflation assumption
Inflation assumptions begin with general economic forecasts for consumer price inflation. A medical inflation premium is added based on historical patterns and expected healthcare cost trends. Wage inflation effects are incorporated where relevant, particularly for income protection products. Regional factors are applied where significant geographic variations exist in inflation patterns.
Inflation monitoring
Inflation monitoring tracks actual versus expected inflation rates across different categories. Medical cost trends are analyzed separately from general inflation. Wage increase patterns are monitored, particularly in key occupation groups. Treatment cost changes are tracked by type of treatment. Regional variations are analyzed, and provider fee changes are monitored. Any structural changes in healthcare delivery that might affect future inflation patterns are identified and assessed.
Investment return assumption
Investment return assumptions start with risk-free rates derived from government securities. Risk premiums are added based on the intended asset mix, with different premiums for each asset class. The assumption incorporates expected investment expenses and makes allowance for default risk. The final rate reflects the company’s investment strategy and any asset-liability matching requirements.The overall estimate investment assumption will reflect the balance between the expected return from assets currently held and expected return from assets that we intend to buy in the future.
Investment performance monitoring
Investment monitoring tracks actual versus expected returns across all asset classes. Reinvestment rates for new money are closely watched, particularly in comparison to assumptions. Asset-liability matching effectiveness is reviewed regularly. Investment expenses are tracked against assumptions, and credit experience is monitored. Market changes that might affect future return expectations are analyzed and fed back into assumption setting.
Profit requirements assumption