Course: Stochastic Processes

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Course title Stochastic Processes
Course code UMKM/PSPP
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Linda Bohdan, doc. RNDr. CSc.
  • Gogola Ján, RNDr. Ph.D.
Course content
Random process, its characteristics, classification of stochastic processes, insurance claims as a function of time, trend, stationarity. Random point processes - concept, the counting process of insurance claims, process intensity, aggregate insurance claims. Poisson processes homogeneous and nonhomogeneous, modeling of the incoming flow of insurance claims by a Polya process. Renewal processes, compound renewal processes, agragate insurance claims, ruin probability. Actuarial analysis of risks, risk reserve, Cramer-Lundberg approximation, profit realization, setting the premium. Markov chains, the Markov property, the matrix of transition probabilities, Chapman-Kolmogorov equations. Bonus-Malus system in auto-insurance.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities
Learning outcomes
The aim of the course is to teach the students principles of stochastic processes for further use in the insurance system in practicing actuarial calculations, setting premium insurance and evaluating insured risks.
Capability of basic actuarial calculations, setting premium insurance and evaluating insured risks.
Prerequisites
Knowledge of probability and statistics.

Assessment methods and criteria
Home assignment evaluation, Student performance assessment, Work-related product analysis

Assignment - a written test (minimal requirement is 51% of all points), active attendance at seminars, completion of all given tasks.
Recommended literature
  • Stochastic modeling: Theory and reality from an actuarial perspective.. Ottawa: Association Actuarielle Internationale, 2010.
  • Beichelt, Frank. Stochastic processes in science, engineering and finance. Boca Raton: Chapman & Hall CRC, 2006. ISBN 1-58488-493-2.
  • BOLAND, P. J.:. Statistical and Probabilistic Methods in Actuarial Science.. Chapman, Boca Raton, FL, 2006.
  • CIPRA, T.:. Finanční a pojistné vzorce.. Praha: GRADA Publishing., 2006.
  • CIPRA, T. Pojistná matematika, teorie a praxe. Praha: EKOPRESS, 2006.
  • Cipra, Tomáš. Finanční ekonometrie. Praha: Ekopress, 2008. ISBN 978-80-86929-43-9.
  • DICKSON, D. C. M. Insurance Risk and Ruin.. Cambridge: Cambridge University Press., 2005.
  • PACÁKOVÁ, V. Aplikovaná poistná štatistika. Bratislava: IURA EDITION, 2004.
  • Rolski T. et al. Stochastic Processes for Insurance and Finance. Wiley, 2001.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Insurance Engineering (2014) Category: Economy 2 Recommended year of study:2, Recommended semester: Winter