Make future projections and make inferences by analyzing data
Construct cause effect realtionship between variables, make inference and decide
Examine the relationships between insurance and actuary variables
Mode of Delivery
Face to face
Prerequisites
No
Recommended Optional Programme Components
None
Course Description
Main objective of the course, is to gain ability of establish linear or nonlinear regression model on any finance subject and also to evaluate the figures of anova analysis. Students will gain the ability of using statistical techniques to establish their research questions, pose relevant hypotheses, and make use of the most appropriate tests to carry out a scientific study by applictions on eviews ."
Course Contents
WEEK
TOPICS
1st Week
Introduction, probabilistic and statistical basic concepts
2nd Week
Discrete random variables and distributions
3rd Week
Continuous random variables and distributions
4th Week
Basic satistical measures
5th Week
Statistical distributions using in insurance
6th Week
Insurance data analysis
7th Week
Risk premium
8th Week
Midterm
9th Week
Pricing in insurance
10th Week
Credibility theory
11th Week
Baye's theorem
12th Week
Simulation
13th Week
Loss reserve estimatio in insurance
14th Week
Porfolio analysis in elementary risk analysis
Recommended or Required Reading
I.B. Hossack, J.H. Pollard, B. Zenwirth, Introductory Statistics with Applications in General Insurance.
Planned Learning Activities and Teaching Methods
Lecture
Discussion
Questions/Answers
Problem Solving
Project
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
30
Assignment
1
10
Quiz
1
10
Total(%)
50
Contribution of In-term Studies to Overall Grade(%)
50
Contribution of Final Examination to Overall Grade(%)
