Postgraduate Programme and Module Handbook 2012-2013 (archived)

Module ECON41615: ECONOMETRICS II

Department: Business School (Economics and Finance)

ECON41615: ECONOMETRICS II

Type	Tied	Level	4	Credits	15	Availability	Available in 2012/13

Tied to	L1K109
Tied to	L1K709

Prerequisites

Econometrics I (ECON41515)

Corequisites

None

Excluded Combination of Modules

None

Aims

to build upon the knowledge gained in Econometrics I and provide students with the specific advanced technical skills necessary to understand the latest techniques employed by financial econometricians;
to provide students with the most recent tools required to model non-stationary time series and compute forecasts from financial econometric models.

Content

Error-Correction Models and Cointegration: stationary vs non-stationary time series; unit root tests; spurious regression and the concept of cointegration; EC models;
Introduction to ARCH and GARCH: concept of volatility; formulating and estimating the ARCH model; the generalised ARCH model;
Forecasting: an introduction to forecasting, forecasting volatility, test of equal forecast accuracy and forecast encompassing;
Cointegration in multivariate systems: The Johansen approach; formulation of the dynamic model; deterministic components in the multivariate model; testing for unique cointegration vectors.
Limited dependent variables: Probit, Logit and estimation of other limited dependent variables.

Learning Outcomes

Subject-specific Knowledge:

have advanced knowledge of the principles and methods of modern financial econometrics and time series forecasting;
have extended and deepened their understanding of Econometrics gained in Econometrics I, and improved their critical judgement and discrimination in the choice of techniques applicable to complex situations;
have extended their understanding of the application of econometric methods and interpretation of the results at an advanced level;
have extended their understanding of the use of econometric tools to conduce advanced empirical investigations into complex specialised issues.

Subject-specific Skills:

have further practised problem solving skills in econometrics at an advanced level and the use of econometric software.

Key Skills:

Written Communication;
Planning, Organising and Time Management;
Problem Solving and Analysis;
Using Initiative;
Numeracy;
Computer Literacy.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

A combination of lectures, seminars and guided reading will contribute to achieving the aims and learning outcomes of this module. The summative written project and examination will test students' knowledge and critical understanding of the material covered in the module, their analytical and problem-solving skills.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total/Hours
Lectures	9	1 per week	2 hours	18
Seminars	4		1 hour	4	■
Computer classes	4		1 hour	4	■
Preparation & Reading				122
Revision Session	2		1 hour	2
Total				150

Summative Assessment

Component: Project		Component Weighting: 50%
Element	Length / duration	Element Weighting	Resit Opportunity
Written Project	1250 word maximum	100%	Same
Component: Examination		Component Weighting: 50%
Element	Length / duration	Element Weighting	Resit Opportunity
Examination	1.5 hours	100%	Same

Formative Assessment:

Work prepared by students for seminars; answers to questions either discussed during a seminar, or posted on DUO; feedback on discussions with teaching staff during consultation hours, or via e-mail.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University