Risk Insurance¶
Year 2 · Block 2b · Actuarial science
Coverage rules and portfolio models lead to insurance-data estimation, decisions under risk, premium principles and experience rating.
- 14 lectures
- 52 concept pages
Practise¶
Lectures¶
1Insurance coverage: transforms and mixed losses4 concepts
- Cumulant Generating Function
- Mixed Discrete and Continuous Loss Distribution
- Ordinary Deductible
- Probability Generating Function
Review lecture 1 in Concept Finder 4 concepts
2Insurance coverage: deductibles and limits5 concepts
- Franchise Deductible
- Pareto Loss Model
- Stop-Loss Transform and Reinsurance
- Loss Elimination Ratio
- Policy Limit
Review lecture 2 in Concept Finder 5 concepts
3Coverage completion and portfolio risk models3 concepts
Review lecture 3 in Concept Finder 3 concepts
4Compound risks and likelihood foundations6 concepts
- Compound Risk Distribution
- Maximum Claim in a Portfolio
- Maximum Likelihood Estimation
- Compound Poisson Distribution
- Compound Poisson Process
- Superposition of Compound Poisson Risks
Review lecture 4 in Concept Finder 6 concepts
5Special observation mechanisms and GLM foundations5 concepts
- Exponential Family
- Generalized Linear Model
- Likelihood for Censored Loss Data
- Likelihood for Grouped Loss Data
- Likelihood for Truncated Loss Data
Review lecture 5 in Concept Finder 5 concepts
6Claim-frequency GLMs and rating factors5 concepts
- Information Criteria for Risk Models
- Poisson Regression
- Exposure Offset in Claim-Frequency Models
- Overdispersion in Count Models
- Rating Factors and Interactions in Insurance GLMs
Review lecture 6 in Concept Finder 5 concepts
7Utility theory and risk aversion2 concepts
Review lecture 7 in Concept Finder 2 concepts
8Insurance decisions and stochastic order2 concepts
Review lecture 8 in Concept Finder 2 concepts
9Tail comparisons and stop-loss order3 concepts
Review lecture 9 in Concept Finder 3 concepts
10Dispersion, utility dominance and exponential order3 concepts
Review lecture 10 in Concept Finder 3 concepts
11Risk-order consequences and premium foundations4 concepts
- Premium Principles and Their Properties
- Risk Orders Under Aggregation
- Stop-Loss Separation Theorem
- Expected Value Premium Principle
Review lecture 11 in Concept Finder 4 concepts
12Premium principles and bonus-malus foundations5 concepts
- Bonus-Malus System
- Exponential Premium Principle
- Standard Deviation Premium Principle
- Variance Premium Principle
- Zero-Utility Premium
Review lecture 12 in Concept Finder 5 concepts
13Bonus-malus dynamics and reporting incentives3 concepts
Review lecture 13 in Concept Finder 3 concepts
14Bonus-malus efficiency and premium scales2 concepts
Review lecture 14 in Concept Finder 2 concepts
Concepts appear in the lecture that introduces them, foundations first. A course name after a concept marks a page from another course used that lecture.
More about this course¶
Before you startEarlier concepts these pages use most. If a step feels unfamiliar, revisit them first.4 courses
AchievementsCourse challenges and how many learners hold them
How to read this courseNotation, shared pages and conventions
These notes introduce course-specific concepts. Existing Year 1 concepts have one canonical page and are linked under Before you start. The lecture sequence follows the 2026 course outline: 14 lectures across seven teaching weeks, numbered by class, with no lectures in course Week 5. Concepts appear at their first introduction and are reused by links afterwards. The stochastic-dominance pages state their loss-versus-wealth convention explicitly.
SourcesCourse material these pages were checked against
- Risk Insurance · Course outline (2026)
- Risk Insurance · Lectures 1–14
Aliases: RI
Last updated: 26 October 2026 00:09