SubjectsSubjects(version: 992)
Course, academic year 2025/2026
   
Mathematics of Non-Life Insurance 1 - NMFP409
Title: Matematika neživotního pojištění 1
Form of teaching: lecture+practicals
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023 to 2025
Duration in semesters: 1
Semester: winter
E-Credits: 5
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unlimited
Maximum number of enrolled students: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English, Czech
Teaching methods: full-time
Additional information: https://dl1.cuni.cz/course/view.php?id=10389
Repeated enrollment: 2 / 2 / 2 / 2
Guarantor: RNDr. Lucie Mazurová, Ph.D.
Teacher(s): Mgr. Martin Hrba
Mgr. Ing. Pavel Kříž, Ph.D.
RNDr. Lucie Mazurová, Ph.D.
Class: M Mgr. FPM
M Mgr. FPM > Povinné
Classification: Mathematics > Financial and Insurance Math.
Incompatibility : NMFM401
Interchangeability : NMFM401
Is incompatible with: NMFM401
Is pre-requisite for: NMFP434, NMFP501
Is interchangeable with: NMFM401
Annotation -
Probabilistic modeling of claim sizes, claim counts and aggregate losses. Application of the collective model in ruin theory and in reinsurance. Introduction to classification ratemaking. Basic methods of claims reserving.
Last update: Branda Martin, doc. RNDr., Ph.D. (13.12.2020)
Aim of the course -

The aim of the subject is to describe probabilistic models used in non-life insurance, fundamentals of the collective risk model including elementary ruin theory , to make a survey of technical reserves and selected methods for computing outstanding claims reserves.

Last update: Zichová Jitka, RNDr., Dr. (02.06.2022)
Course completion requirements -

Requirements to successfully pass the practicals: turn in solutions of homeworks assigned during semestr (in time) and elaborate more extensive project at the end of semester.

The nature of these requirements precludes possibility of additional attempts to obtain the exercise class credit.

The exercise class credit is necessary for the participation in the exam.

Last update: Kříž Pavel, Mgr. Ing., Ph.D. (12.08.2026)
Literature -

S.A. Klugman, H.H. Panjer, G.E. Willmot: Loss Models: From Data to Decisions. John Wiley & Sons, 1998.

M.V. Wüthrich, M. Merz: Stochastic Claims Reserving Methods in Insurance. Wiley, 2008.

P. Mandl, L. Mazurová: Matematické základy neživotního pojištění. MatfyzPress, 1999.

Last update: Branda Martin, doc. RNDr., Ph.D. (13.12.2020)
Teaching methods -

Lecture + exercises.

Last update: Zichová Jitka, RNDr., Dr. (02.06.2022)
Course assessment methods and requirements for successful completion, grading scheme -

Oral exam with written preparation. Requirements for the exam consist of the entire extent of the lecture.

Last update: Mazurová Lucie, RNDr., Ph.D. (12.10.2022)
Syllabus -

1. Distributions of claim sizes derived by a power transform, generalized and generalized inverse distributional families. Tail behavior, subexponential distributions.

2. (a,b,0) and (a,b,1) classes of counting distributions.

3. Panjer recursive formula for compound distributions. Methods of discretization of a continuous claim size distribution. Calculation of a compound distribution by means of FFT. Approximations of the aggregate loss distribution.

4. Discrete-time ruin theory model.

5. Pricing of XL-reinsurance with reinstatements.

6. Simple methods of classification ratemaking. Loglinear model.

7. Mack's model and chain-ladder method. Bornhuetter-Ferguson method. Poisson model for incremental development triangles.

Last update: Mazurová Lucie, RNDr., Ph.D. (13.12.2020)
Course registration requirements -

Basics of probability theory: probabilty distribution, conditioning, moment generating function, moments, conditional expected value

Last update: Mazurová Lucie, RNDr., Ph.D. (21.04.2024)
 
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