Syllabus for |
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MVE172 - Basic stochastic processes and financial applications
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| Grundläggande stokastiska processer och finansiella tillämpningar |
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| Syllabus adopted 2020-02-18 by Head of Programme (or corresponding) |
| Owner: TKIEK |
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7,5 Credits
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| Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail |
| Education cycle: Second-cycle |
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Major subject: Mathematics
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Department: 11 - MATHEMATICAL SCIENCES
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Teaching language: English
Application code: 51141
Open for exchange students: Yes
Only students with the course round in the programme plan
| Module |
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0120 |
Laboratory |
3,0 c |
Grading: UG |
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3,0 c
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| 0220 |
Examination |
4,5 c |
Grading: TH |
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4,5 c
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05 Dec 2020 am J
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07 Apr 2021 am J, |
24 Aug 2021 pm J
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In programs
TKIEK INDUSTRIAL ENGINEERING AND MANAGEMENT - Financial mathematics, Year 3 (compulsory)
MPDSC DATA SCIENCE AND AI, MSC PROGR, Year 1 (compulsory elective)
MPDSC DATA SCIENCE AND AI, MSC PROGR, Year 2 (elective)
Examiner:
Patrik Albin
Go to Course Homepage
Eligibility
General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Sannolikhetsteori motsvarande en första kurs i matematisk statistik. Någon erfarenhet av datoranvändning såsom exempelvis grunderna i Matlab-programmering eller liknande. Matematikkunskaper motsvarande vad som läres ut under första året på I-linjen.
Aim
Kursen syftar till att ge en introduktion till samt översikt av de klasser av stokastiska processer som är viktigast i såväl tekniska och naturvetenskapliga tillämpningar som i vidare matematisk och matematisk statistisk teoribyggnad.
Learning outcomes (after completion of the course the student should be able to)
- narrate the theory for discrete time Markov chains and make applied calculations for them
- narrate the meaning of dependence and independence between different stochastic process values/random variables and use this in applied calculations
- narrate the defining properties of weak/wide sense stationary processes redogöra för de grundläggande definierande egenskaperna för svagt stationära processer, Gaussian/normal processes and martingales and make applied calculations for them
- use stochastic processes as models in mathematical finance, e.g., to calculate prices for financial contracts/options
Content
Short repetition/treatment of some important concepts from mathematics and multivariate probability theory. Discrete time and continuous time stochastic processes. Finite dimensional distribution functions. Mean and autocorrelation/aoutocovariance function. Stationary and weak/wide sense stationary processes. Processes with independent stationary increments/Levy processes. Gaussian/normal processes. Discrete time Markov chains. Martingales in discrete and continuous time. Continuity for and differentiation, integration and summation of stochastic processes. Basic queueing theory. Computer implementation of most of the mentioned classes of stochastic processes. Finacial applications.
Organisation
Lectures, exercise sessions and computer laborations.
Literature
Hwei Hsu: Probability, Random Variables, and Random Processes, 2nd
Edition. Schaum's Outlines, McGraw-Hill 2010. Lecture notes on financial applications.
Examination including compulsory elements
Written exam. Mandatory computer laboration.