Courses Exchange Display 2020-2021

Course Description To PDF
Course title Stochastic Processes
Course code EBC4004
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
1 31-8-2020 16-10-2020 X L
Level Advanced
Coordinator Michael Eichler
For more information: m.eichler@maastrichtuniversity.nl
Language of instruction English
Goals
The purpose of the course is to introduce students to the study of stochastic processes in discrete and continuous time. Students will have learned the essentials of the subject and should be able to apply the acquired theoretical tools to problems in econometrics, economics, finance, and other fields.
Description
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.

Deterministic dynamic systems are usually not well suited for modelling real world dynamics in economics, finance and business. Allowing for random components in dynamic systems leads to stochastic dynamic modelling, which is based on stochastic processes. This course covers models of stochastic processes in discrete and continuous time. This includes Markov chains, Poisson processes and Brownian motion. We introduce various tools that are very useful for deriving and understanding the asymptotic properties of modern econometric techniques. They include the functional central limit theorem and stochastic integrals. Finally, we discuss stochastic differential equations and their applications in finance and related fields, e.g. for pricing financial derivatives.
Literature
Mikosch, T., (1998), Elementary stochastic calculus, World scientific Publishing, Singapore.
Reader.
Prerequisites
Only Master students can take Econometrics Master courses. Students require a solid background in mathematical statistics and probability theory on the level of the BSc Econometrics programme.
An advanced level of English.
Teaching methods (indicative; course manual is definitive) PBL / Lecture / Assignment
Assessment methods (indicative; course manual is definitive) Participation / Written Exam
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research - No specialisation Year 2 Methodology Elective(s)
Master Business Research - Operations Research Year 1 Compulsory Course(s)
Master Business Research - Operations Research Year 1 Elective Course(s)
Master Business Research - Operations Research Year 2 Elective Course(s)
Master Econometrics and Operations Research Compulsory Course(s)
Master Economic and Financial Research - Econometrics Year 1 Compulsory Course(s)
Master Economic and Financial Research - No specialisation Year 1 Elective Course(s)
Master Financial Economics - Asset Pricing Elective Course(s)
Master Financial Economics - Banking Elective Course(s)
Master Financial Economics - Financial Analysis Elective Course(s)
Master Financial Economics - No specialisation Elective Course(s)
SBE Exchange Master Master Exchange Courses
SBE Non Degree Courses Master Courses