MAT4067 Statistical Models in InsuranceBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4067 Statistical Models in Insurance Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator :
Course Lecturer(s): Prof. Dr. İRİNİ DİMİTRİYADİS
Recommended Optional Program Components: None
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 Outcomes

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 / Textbooks: 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
Quizzes 2 % 10
Midterms 2 % 50
Final 1 % 40
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
Study Hours Out of Class 14 1 14
Presentations / Seminar 1 3 3
Project 1 10 10
Homework Assignments 3 4 12
Midterms 2 5 10
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
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 4
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, 3
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 3
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 3
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 3
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 3