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BU5066: ECONOMETRIC THEORY & DATA ANALYSIS FOR FINANCE (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

The course will provide students with understanding of and ability to apply the core econometrics theory to the analysis of financial data. Alongside the lectures, the course will include practical classes that will offer students a 'hands on' training in the use, presentation and interpretation of economic and financial data. The course will underpin the acquisition of skills that are essential component of the toolkit of a financial economist working in the private and public sector and in academia alike.

Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators
  • Dr Juergen Bracht

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

  • Any Postgraduate Programme (Studied)

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 will provide students with understanding of and ability to apply the core econometrics theory to the analysis of financial data. The course will review the classical linear regression model, cover univariate time series modelling and forecasting, multivariate models, and the modelling of long-run relationships in finance.


Contact Teaching Time

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

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

 

 

2 hr written examination (70%); An individual assignment (30% 2000 words).

 

Resit: 2hr written examination (100%).

Formative Assessment

There are no assessments for this course.

Feedback

 

Feedback on formative assessment will be offered throughout the course during the example and computer classes and individually to students

Feedback on summative assessment will be given both in writing and by means of one-to-one discussions with students

Course Learning Outcomes

None.

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