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Curricular information is subject to change
To be able to formulate basic decision making problems in a structured manner and understand the use of basic criteria. To be able to select appropriate probability distributions for use in modelling losses in insurance and banking. To know how to predict and determine reserves for claims and losses taking into account trends and inflation. To be able to use software to estimate outstanding claims. To be able to select a reasonable model for short term aggregate losses in a portfolio of policies or loans.
Indicative Module Content:Game and Decision Theory.
Loss Distributions.
Impact of Reinsurance on Loss
Simulating Loss distributions
Claims Reserving and Run-off Triangles.
Bornhuetter Ferguson method
Risk Theory.
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Small Group | 6 |
Tutorial | 10 |
Computer Aided Lab | 2 |
Autonomous Student Learning | 114 |
Total | 150 |
A good basic knowledge of probability and statistics theory is a requirement to take this course.
Learning Recommendations:Students should have a knowledge of statistical inference at a level equivalent to that which would be achieved upon completion of STAT20100, STAT20110, STAT30240.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: regular | Varies over the Trimester | n/a | Other | No | 20 |
Examination: Final 2 hour exam | 2 hour End of Trimester Exam | No | Other | No | 80 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
assignments individually graded and returned to students, group feedback in tutorials
Name | Role |
---|---|
Mr Xian Yao Gwee | Tutor |