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In actuarial mathematics, insurance policies aren't just products to memorizeโthey're applications of core principles like risk pooling, adverse selection, premium calculation, and reserve valuation. Every policy type you encounter on an exam tests whether you understand how actuaries quantify uncertainty, price contingent payments, and manage the insurer's exposure to loss. The mathematical models differ significantly based on whether you're dealing with life contingencies, property-casualty frequency-severity distributions, or health care utilization patterns.
You're being tested on your ability to recognize which actuarial techniques apply to which policy structures. A term life policy requires survival models and present value calculations; auto insurance demands loss distribution fitting and credibility theory. Don't just memorize that "health insurance covers medical expenses"โknow that health policies involve morbidity modeling, claim frequency analysis, and risk adjustment mechanisms. Understanding the underlying risk characteristics of each policy type is what separates actuarial thinking from general insurance knowledge.
These policies depend on survival or mortality events, making them the foundation of life insurance mathematics. Pricing requires life tables, survival functions , and present value calculations for contingent cash flows.
Compare: Term Life vs. Whole Lifeโboth use mortality tables and present value calculations, but term has no reserve buildup while whole life requires ongoing reserve valuation. FRQs often ask you to calculate net premiums for both and explain why whole life premiums are higher despite the same death benefit.
These policies protect against loss events with uncertain timing and severity. Actuarial work focuses on loss distributions, frequency-severity modeling, and aggregate claims analysis using tools like the collective risk model.
Compare: Flood vs. Earthquake Insuranceโboth are catastrophic perils excluded from standard homeowners policies, but flood is often government-backed while earthquake remains primarily private market. Both illustrate why actuaries separate attritional losses from catastrophe losses in pricing models.
These policies replace lost earning capacity due to disability or workplace injury. Actuarial modeling requires understanding disability inception rates, recovery rates, and benefit duration distributions.
Compare: Disability vs. Workers' Compensationโboth replace income due to inability to work, but workers' comp is employer-purchased, no-fault, and covers only work-related injuries. Disability insurance is individually owned and covers any disabling condition. Exam questions may test which actuarial techniques apply to each.
Liability policies protect against third-party claims, where the insured causes harm to others. These products feature long-tail claim development, requiring actuaries to estimate ultimate losses years after the policy period ends.
Compare: General Liability vs. Professional Liabilityโboth cover third-party claims, but general liability addresses physical harm while professional liability covers economic harm from service failures. The claims-made vs. occurrence distinction is a common exam topic for understanding how policy triggers affect loss reserving.
Health insurance involves high-frequency, variable-severity claims with unique considerations like moral hazard, adverse selection, and regulatory constraints (e.g., ACA requirements).
Compare: Health Insurance vs. Long-Term Careโboth cover care needs, but health insurance addresses acute medical events while LTC covers chronic conditions requiring ongoing assistance. The distinction matters for modeling: health uses annual claim frequencies while LTC requires multi-year disabled life projections.
Commercial policies protect organizational assets and operations. Actuaries must consider business interruption exposure, employee counts, and industry-specific risk factors.
Compare: Homeowners vs. Commercial Propertyโboth cover physical assets, but commercial policies must address business income loss, equipment breakdown, and higher liability limits. Commercial pricing relies more heavily on schedule rating and individual risk assessment.
| Concept | Best Examples |
|---|---|
| Life contingencies (mortality-based) | Term Life, Whole Life |
| Morbidity/disability modeling | Disability, Long-Term Care, Workers' Comp |
| Frequency-severity distributions | Auto, Homeowners, Health |
| Catastrophe/tail risk | Flood, Earthquake, Umbrella |
| Long-tail claim development | General Liability, Professional Liability |
| Adverse selection concerns | Health, Long-Term Care, Flood |
| Experience rating/credibility | Workers' Comp, Auto, Commercial |
| Statutory/regulatory constraints | Workers' Comp, Health, Flood (NFIP) |
Which two policy types require actuaries to model disability inception and recovery rates rather than mortality alone, and how do their benefit triggers differ?
Compare term life and whole life insurance from a reserving perspective: why does whole life require ongoing reserve calculations while term life reserves are minimal in early years?
An FRQ asks you to explain why flood and earthquake insurance are excluded from standard homeowners policies. What actuarial concepts (think: correlation, adverse selection, catastrophe modeling) should your answer address?
How does the distinction between occurrence-based and claims-made coverage affect loss reserving for liability policies? Which policy types typically use each trigger?
Both health insurance and auto insurance involve high claim frequencies. Compare the primary actuarial challenges in pricing eachโwhat makes health insurance modeling uniquely complex from a regulatory and risk selection standpoint?