THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Financial Econometrics (MATH11064)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits7.5
Home subject areaMathematics Other subject areaFinancial Mathematics
Course website None Taught in Gaelic?No
Course descriptionTo introduce the methods of econometrics and their application to financial data.

This course is only available to students on the MSc Financial Mathematics programme.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements MSc Financial Mathematics students only.
Additional Costs None
Course Delivery Information
Delivery period: 2014/15 Semester 2, Not available to visiting students (SS1) Learn enabled:  No Quota:  None
Web Timetable Web Timetable
Course Start Date 12/01/2015
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 75 ( Lecture Hours 24, Seminar/Tutorial Hours 6, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 41 )
Additional Notes Examination takes place at Heriot-Watt University.
Breakdown of Assessment Methods (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)Financial Econometrics (MATH11064) 2:00
Summary of Intended Learning Outcomes
On completion of this course the student should be able to:
- demonstrate an understanding of the basic econometric methods
- test multivariate time series for characteristics such as Granger causality, unit roots, cointegration
- apply the generalised method of moments to problems involving financial time series
- have a critical understanding of the scope and limitations of econometric methods
- apply the concepts and techniques listed above to the modelling of stock prices, exchange rates and other related financial time series
- formulate and test models for financial time series
- plan and organize through self-management and time-management
- assess issues with working as part of a team

Assessment Information
See 'Breakdown of Assessment Methods' and 'Additional Notes' above.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Economic and financial data
Basic econometric methods
Simultaneity, identification
Instrumental variables
Non-spherical disturbances
Collinearity
Multivariate time series methods
Vector autoregression
Granger causality
Unit roots
Cointegration
Error correction models
Generalised method of moments
Applied studies in financial econometric methods
Transferable skills Not entered
Reading list Campbell, Lo & McKinley (1997). The Econometrics of Financial Markets. Princeton University Press.
Engle, R. F. (1995). ARCH: Selected Readings. OUPress.
Greene, W. H. (2003). Econometric analysis. 5th ed., Prentice Hall.
Gujarati, D. N. (2003). Basic econometrics. 4th ed., McGraw-Hill.
Gourieroux, C., & Jasiak, J. (2001). Financial Econometrics: Problems, Models and Methods. Princeton University Press.
Hamilton (1994). Time Series Analysis (Chapters 11 and 17¿20). Princeton University Press.
Maddala, G. S. (2001). Introduction to econometrics. 3rd ed., Wiley.
Study Abroad Not entered
Study Pattern Not entered
KeywordsFEc
Contacts
Course organiserDr Sotirios Sabanis
Tel: (0131 6)50 5084
Email: S.Sabanis@ed.ac.uk
Course secretaryMrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk
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