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Nov 21, 2024
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AC 4404 - Actuarial Probability Models4 lecture hours 0 lab hours 4 credits Course Description This course will begin to prepare students for a fourth actuarial exam. It will provide a more in-depth study of certain topics in probability and mathematical statistics, with a focus on problems and models that are relevant to insurance products. (prereq: MA 2631 and MA 390 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to:
- Analyze severity, frequency, and aggregate models
- Understand what probability distributions are appropriate to model different problems
- Use probability distributions to evaluate financial risk
- Understand the relationship between various probability distributions, and the effects of mixing probability distributions
- Estimate parameters using maximum likelihood estimation and construct confidence intervals for those parameters
- Understand various coverage modifications of insurance products, including deductibles, limits, and coinsurance
- Apply Bayesian and Bühlmann techniques to study credibility
- Apply knowledge of the course topics in the context of insurance, including calculating premiums and reserves for short-term insurance products
Prerequisites by Topic
- Calculus
- Probability
- Interest theory
Course Topics
- Probability distributions
- Moments and other properties of probability distributions
- Developing risk models
- Hazard rate functions
- Deductibles, limits, and coinsurance
- Inflation effects
- Value at risk and tail value at risk
- Maximum likelihood estimation
- Bayesian estimation
- Hypothesis tests, Bayesian information criterion, and other model selection tests
- Bayesian credibility
- Bühlmann and Bühlmann-Straub models
- Short-term insurance and reinsurance
- Premiums
- Reserves
Coordinator Dr. Brandon Reid
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