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Module Availability |
Spring |
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Assessment Pattern |
Unit(s) of Assessment |
Weighting Towards Module Mark (%)
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2 hour Examination |
75
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Coursework |
25
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Qualifying Condition(s) A weighted aggregated mark of 50% is required to pass the module |
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Module Overview |
This module provides an introduction to the modern econometric techniques used in the analysis of financial time series |
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Prerequisites/Co-requisites |
None |
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Module Aims |
This module provides an introduction to the modern econometric techniques used in the analysis of financial time series |
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Learning Outcomes |
On successful completion of this module you should be able to:
- Understand and critically evaluate models of asset return processes
- Build models of ARCH and GARCH processes using appropriate computer software
- Analyse dynamic models with changes in regime
Transferable Skills:
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Module Content |
The following is an indication of the likely topics to be covered:-
Asset return processes: stationarity, random walks, tests for unit roots
Conditional volatility: ARCH, GARCH, GARCH-M and E-GARCH models
Stochastic volatility models
Estimation and testing of the Capital Asset Pricing Model
Long term memory and fractional integration in stock market returns
Non-linear models including Markov models of changes in regime
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Methods of Teaching/Learning |
Lectures and Tutorials (20 hrs) Classes (10hrs) Readings using lecturers guidance Preparing exercises for discussion in class Responding to questions in class Preparing and producing an applied econometrics assignment as coursework |
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Selected Texts/Journals |
Main Texts: Cuthbertson, K. Quantitative Finance Economics, Wiley, (latest edition) Frances, P,-H. and D. van Dijk Non-linear Time Series Models in Empirical Finance, Cambridge University Press, 2000 Mills, T. The Econometric Modelling of Financial Time Series, Cambridge University Press, 2008 auxliary texts: Campbell, J.Y., A.W. Lo and A.C. Mackinley, The Econometrics of Financial Markets, Princeton University Press, 1996 Patterson, K. Introduction to Applied Econometrics,Macmillan, 2000 Tsay, R.S. Analysis of Financial Time Series, Wiley, 2005 |
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Last Updated |
10 March 2011 |
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