MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4067 Statistical Models in Insurance Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TUĞCAN DEMİR
Course Lecturer(s): Prof. Dr. İRİNİ DİMİTRİYADİS
Course Objectives: To introduce the student with lines in non life insurance, the analysis of data and modelling of loss distributions as well as the basics of the risk process in non-life insurance.

Learning Outputs

The students who have succeeded in this course;
Students will know about the basics of non-life insurance, will develop proficiency in analyzing and interpreting data and in the application of models used for insurance losses. They will also learn how these models are used in assessing insurance premiums and will be able to understand the effect of insurance decisions on the probability of ruin.

Course Content

Review of probability and statistics. Introduction to non-life insurance. Basic probability distributions as they occur in insurance. The effect of inflation, deductibles and reinsurance on these distributions. The basic risk process and one-term probability of ruin and insurance decision that effect the probability of ruin. Types of reinsurance.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Concepts in risk and insurance. Introduction to classes of insurance.
2) Property and casualty insurance, health insurance . Adverse selection, moral hazard and fraud in insurance.
3) Review of probability. Discrete and continuous random variables and their distributions.
4) Measures of location and dispersion. Expectation and moments.
5) Statistical distributions useful in general insurance. The normal distribution and the Central Limit Theorem.
6) The Poisson, Exponential, Pareto, Lognormal , and negative binomal distributions as they appear in actuarial studies.
7) Point estimation and method of moments. Mazimum likelihood and confidence intervals. Curve fitting.
8) Deductibles and excesses. Effect of inflation on deductibles.
9) The risk premium. Claim frequency and claim size and total claims ditributions.
10) The basic risk process. The Normal Approximation to the total claims distribution.
11) One term probability of ruin. Effect of premium loading, initial reserves and portfolio size on the probability of ruin.
12) Reinsurance and types of reinsurance.
13) Effect of reinsurance on the probability of ruin.
14) Application examples. Traffic, fire and health insurance applications.

Sources

Course Notes: Ders notları dağıtılacaktır /Lecture notes shall be distributed. Temel kitap/ Basic course book: Hossack, I.B., Pollard, J.H., Zehnerwith, B., Introductory statistics with applications in general insurance.
References: S.A Klugman, H.H.Panjer, G.E. Willmot , ‘Loss Models:from data to decisions’, John Wiley 1998

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 2 % 10
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms 2 % 50
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 1 14
Presentations / Seminar 1 3 3
Project 1 10 10
Homework Assignments 3 4 12
Quizzes 0 0 0
Preliminary Jury 0
Midterms 2 5 10
Paper Submission 0
Jury 0
Final 1 9 9
Total Workload 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution