| Week beginning |
Monday |
Wednesday |
|---|
|
| 9th January |
Introduction and Preliminaries
IRLRPCI 1 Why insurance?
1.3 Insurance and Utility Q.1
1.4 Insurable Risks
|
IRLRPCI 2 Types of short-term insurance coverage
2.2 Automobile Insurance Q.2
2.3 Homeowner's Insurance Q.3
|
| 16th January |
IRLRPCI 2 Types of short-term insurance coverage (cont.)
2.4 Tennant's Package
2.5 Worker's Compensation
2.6 Fire Insurance
2.7 Marine Insurance
2.8 Liability Insurance
2.9 Limits to Coverage Q.4-5
IRLRPCI 5 Intermediate topics
5.3 Reinsurance Q.6
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IRLRPCI 4 Ratemaking
4.1 Introduction
4.2 Objectives of ratemaking
4.3 Data for ratemaking
4.4 Premium data Q.7
4.5 The exposure unit
4.6 The expected effective period Q.8-9
4.7 Ingredients of ratemaking
4.8 Rate changes Q.10
|
| 23rd January |
4.8 Rate changes (cont.) Q.11-12
IRLRPCI 3 Loss Reserving
3.2 How outstanding claim payments arise
3.3 Definition of terms
3.4 Professional considerations
3.5 Checking the data
3.6 Loss reserving methods
|
3.6.1 Expected Loss ratio method Q13
3.6.2 Chain Ladder method Q14
3.6.3 Bornhuetter-Fergusson method Q15
|
| 30th January |
2 Random Variables Q.16-19
3 Basic Distributional Quantities
3.1 Moments Q.20-22
3.2 Percentiles Q.23-25
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3.3 Generating Functions and Sums of Random Variables Q.26-27
3.4 Tail Weight Q.28-29
|
| 6th February |
3.4 Tail Weight (cont.) Q.30-33
3.5 Measures of Risk Q.34-40
4 Characteristics of Actuarial Models
4.2 The Role of Parameters Q.41-42
4.3 Semiparametric and Non-Parametric Methods Q.43-48
|
Revision IRLRPCI & Chapters 2-4
|
| 13th February
|
Revision IRLRPCI & Chapters 2-4
|
MIDTERM
EXAMINATION
|
| 20th February
|
STUDY WEEK
|
| 27th February
|
5 Continuous Distributions
5.2 Creating New Distributions Q.49-53
5.2.4 Mixture Distributions Q.54-65
|
5.3 Selected Distributions and their Relationships
5.3.2 Two Parametric Families Q.66
5.3.3 Limiting Distributions Q.67-68
5.4 The Linear Exponential Family Q.69-70
|
| 6th March
|
6 Discrete Distributions
6.2 The Poisson Distribution (revision) Q.71-72
6.4 The Binomial Distribution (revision) Q.73-74
6.3 The Negative Binomial Distribution Q.75-78
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6.5 The (a,b,0) Class Q.79-80
6.6 Truncation and Modification at Zero Q.81-84
|
| 13th March
|
8 Frequency and Severity with Coverage Modifications
8.2 Deductibles Q.85
8.3 Loss Elimination Ratio and Inflation Q.86-87
8.4 Policy Limits Q.88
|
8.5 Coinsurance, Deductibles and Limits Q.89-90
9 Aggregate Loss Models
9.1 Introduction
|
| 20th March
|
9.2 Model Choices Q.91
9.3 The Compound Model for Aggregate Claims Q. 92-95
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9.8 The Individual Risk Model Q.96-99
|
| 27th March
|
17 Limited Fluctuation Credibility Theory
17.3 Full Credibility Q. 100-102
17.4 Partial Credibility Q. 103-104
17.5 Problems with this approach Q. 105
|
Revision
|
| 3rd April
|
Revision
|
Revision
|