ICM103-Quantitative Methods for Finance

Module Provider: ICMA Centre
Number of credits: 20 [10 ECTS credits]
Level:7
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2017/8

Module Convenor: Dr Chardin Wese-Simen

Email: c.wese-simen@icmacentre.ac.uk

Summary module description:

Aims:
The objective of the module is to give students an introduction to econometrics so that they might understand the analytical techniques used in the finance research literature. Via case studies and computer modelling exercises, students then learn how to apply these techniques to real data. Emphasis is placed on practical applications of the techniques in the global financial markets.

Assessable learning outcomes:
By the end of the module, it is expected that the student will be able to
• Explain the fundamentals of the statistical theory underlying the tools employed to estimate and test econometric models
• formulate and validate econometric models testing financial theories and hypotheses
• interpret and analyse the results from an estimated econometric model
• comprehend and critically evaluate the use of econometrics in the published academic finance literature




Additional outcomes:
Additional outcomes
The module also aims to encourage the development of IT skills and in particular the manipulation of data using statistical software packages. Students will also improve their ability to translate abstract theoretical concepts into practical solutions to financial problems.

Outline content:
Topic 1 Simple linear regression
Topic 2 Hypothesis testing
Topic 3 Multiple regression: the Classical Linear Regression Model (CLRM)
Topic 4 Violations of the CLRM assumptions and diagnosis
Topic 5 Non-stationarity and testing for unit roots
Topic 6 Cointegration and error correction model
Topic 7 Econometric case studies in finance



Brief description of teaching and learning methods:
Core lectures supported by lab based computer seminars and classroom based tutor led discussion.




Contact hours:
  Autumn DL
Lectures    
Workshops (optional)    
Seminars    
Other contact (eg study visits)    
     
Total hours    
     
Number of essays or assignments    
Other (eg major seminar paper)    

Summative Assessment Methods:
Method Percentage
Written exam 70
Project output other than dissertation 30

Other information on summative assessment:
The written exam will be multiple-choice based. It will be a two-hour closed book examination.

There will be a group project where students will estimate an econometric model and interpret it. The report should have a limit of 2,000 words. There shall be penalties for late submission in accordance with University policy.

Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:
2.5-hour closed-book examination

Requirements for a pass:
50% weighted average mark

Reassessment arrangements:
By examination only, as part of the overall examination arrangements for the MSc programme.

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 31 March 2017

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