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MX5012: DISCRETE TIME MODELS (2021-2022)

Last modified: 20 Oct 2021 15:45


Course Overview

The course is a part of the MSc programme in Financial Technology and provides students with the theoretical and practical skills related to discrete time models of financial markets. It introduces basic notions and mathematical methods related to financial markets and it is concerned with mathematical models in discrete time.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Jaroslaw J. Kedra

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

The course introduces the basic discrete time models of financial markets. The course combines financial motivation with mathematical rigour and it covers subjects including: option pricing based on the no-arbitrage principle in discrete time setting, portfolio management, forward and future contracts and other topics.


In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 2 Tutorials during University weeks 12 - 15

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

First Attempt

Two homework projects:

Aseessment 1 (40%)

Aseessment 2 (60%)

Alternative Resit Arrangements

Resubmission of failed elements (pass marks carried forward)

Formative Assessment

Informal feedback will be provided in class. Students will be encouraged to submit written work for an informal feedback as well.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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