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Probabilistic aspects of financial and insurance mathematics

Some basic information about the module

Cycle of education: 2018/2019

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Mathematics

The area of study: sciences

The profile of studing:

The level of study: second degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Computer Science, Applications of Mathematics in Economics

The degree after graduating from university:

The name of the module department : Department of Mathematics

The code of the module: 1491

The module status: mandatory for the speciality Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 3 / W30 C30 / 5 ECTS / E

The language of the lecture: Polish

The name of the coordinator: Liliana Rybarska-Rusinek, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy jednostki.

semester 3: Prof. Alexander Linkov, DSc, PhD , office hours given in the work schedule.

The aim of studying and bibliography

The main aim of study: Students should have the knowledge and skills of modeling some financial and insurance phenomena by using probabilistic methods.

The general information about the module: The module is implemented in the third semester. It consists of 30 hours of lectures and 30 hours of tutorials.

Bibliography required to complete the module
Bibliography used during lectures
1 N. Bowers, H. Gerber, J. Hickman, D. Jones, C. Nesbitt Actuarial Mathematics The Society of Actuaries. 1986
2 K. Jajuga, T. Jajuga Inwestycje: instrumenty,finansowe, aktywa niefinansowe, ryzyko finansowe, inżynieria finansowa PWN, Warszawa . 1999
3 J. Jakubowski, A. Palczewski, M. Rutkowski, Ł. Stettner Matematyka finansowa Wydawnictwa Naukowo-Techniczne, Warszawa . 2003
Bibliography used during classes/laboratories/others
1 M. Podgórska, J. Klimkowska Matematyka finansowa PWN, Warszawa . 2005

Basic requirements in category knowledge/skills/social competences

Formal requirements: Requirements accordant with Rules and Regulations of studies

Basic requirements in category knowledge: Basic knowledge in fields of probability and statistics.

Basic requirements in category skills: Ability to use the basic mathematical apparatus for the probability and statistic.

Basic requirements in category social competences: Awareness of the level of knowledge, ability to learn individually and in groups

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with OEK
01 knows the random variables used in financial mathematics for modeling present/future value (random interest and discount rates). Lectures, classes. written test K_W04+
K_W07+
K_W08+
K_W09+
K_U02+
K_U11+
K_K07+
X2A_W02
X2A_W03
X2A_W04
X2A_W05
X2A_U01
X2A_U03
X2A_U05
X2A_K06
02 knows the concepts of Modern Portfolio Theory (risk and expected return, determining the efficient set, choosing the best portfolio). Lectures, classes written test K_W09+
K_U02+
K_U04+
K_U12+
K_U16+
K_K02+
K_K04+
X2A_W03
X2A_W04
X2A_U01
X2A_U02
X2A_U03
X2A_U05
X2A_U06
X2A_K01
X2A_K02
X2A_K03
X2A_K04
03 knows simple models of capital market equilibrium: single index model, capital asset pricing model CAPM, arbitrage pricing theory APT. Lectures, classes written test K_W09+
K_K01+
K_K02+
X2A_W03
X2A_W04
X2A_K01
X2A_K02
04 is able to calculate the net single premium for simple life insurances (using International Actuarial Notation , life-table and theory of Interest) Lectures, classes written test K_W09+
K_U12+
K_K01+
K_K03+
X2A_W03
X2A_W04
X2A_U01
X2A_K01
X2A_K02
X2A_K05
X2A_K06
X2A_K07
05 knowns the option pricing models: binomial and Black-Scholes. lectures, classes written test K_W09+
K_U04+
K_U12+
K_U18+
K_K01+
K_K03+
X2A_W03
X2A_W04
X2A_U01
X2A_U02
X2A_U03
X2A_U06
X2A_K01
X2A_K02
X2A_K05
X2A_K06
X2A_K07

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
3 TK01 The basic properties of the lognormal distributions. The present value (the future value) of money under random rates of interest (discrete and continuous compound interest). Derivative securities (forward contracts and futures, swap, options) W01, W02, W03, W04, W05, C01, C02, C03, C04, C05 MEK01 MEK05
3 TK02 Classic and modern measures of investment risk. Modern portfolio theory. Expected utility theory.Stochastic dominance and optimal portfolio. W06, W07, W08, W09, C06, C07, C08, C09 MEK02
3 TK03 Simple models of capital market equilibrium: single index model, capital asset pricing model CAPM, arbitrage pricing theory APT. W10, W11, C10, C11 MEK03
3 TK04 The individual risk model and the collective risk model . The determination of the net single premium of various life insurance. W12, W13, W14, W15, C12, C13, C14, C15 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 3) contact hours: 30.00 hours/sem.
complementing/reading through notes: 5.00 hours/sem.
Studying the recommended bibliography: 10.00 hours/sem.
Class (sem. 3) The preparation for a Class: 10.00 hours/sem.
The preparation for a test: 10.00 hours/sem.
contact hours: 30.00 hours/sem.
Finishing/Studying tasks: 5.00 hours/sem.
Advice (sem. 3) The preparation for Advice: 10.00 hours/sem.
The participation in Advice: 3.00 hours/sem.
Exam (sem. 3) The preparation for an Exam: 10.00 hours/sem.
The written exam: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture Presence on lectures.
Class The final mark is the mean of marks obtained for written tests
The final grade The final mark is the mean of mark for knowledge obtained in classes and written exam

Sample problems

Required during the exam/when receiving the credit
Kolokwium_przykładowe.pdf

Realized during classes/laboratories/projects
Cwiczenia_przykładowe.pdf

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: no