Module
Source: https://www.ncl.ac.uk/postgraduate/degrees/module/?code=NBS8565 Parent: https://www.ncl.ac.uk/postgraduate/degrees/8240f-67/
Postgraduate Study
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Offered for Year: 2026/27
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Module Leader(s): Professor Atanu Ghoshray
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Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System |
Aims
The aim of this course is to provide students with the knowledge necessary to handle modern time series techniques. Both univariate and multivariate models are considered with and without the stationary assumption. The goals of the course are threefold: (1) develop a comprehensive set of tools and techniques for analysing various forms of univariate and multivariate time series and for understanding the current literature in applied time series econometrics; (2) survey the current research topics in time series econometrics; (3) show how to use econometric software (e.g., RATS) for problems in time series econometrics. To provide examples that replicate journal articles.
Outline Of Syllabus
Content of the course\ \ 1. Stationary Univariate Models- Stochastic Difference Equations; ARMA models; Forecasting Methodology; Evaluation - Diebold-Mariano; Clark-West.\ 2. Unit Roots and Cointegration - Deterministic and Stochastic Trend Models; Robust tests for structural breaks; Unit Root Tests with/without breaks; Cointegration with/without breaks; threshold models/star; unit root tests with TAR/ESTAR adjustment.\ 3. Multiequation Time Series Models - Structural and Reduced Form VAR; Granger Causality; Impulse Response Functions; Structural Decompositions - Blanchard-Quah; Sims-Bernanke; Permanent-Transitory; Vector Error Correction Models (VECMs).
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 28 | 1:00 | 28:00 | N/A |
| Guided Independent Study | Assessment preparation and completion | 64 | 1:00 | 64:00 | N/A |
| Guided Independent Study | Directed research and reading | 50 | 1:00 | 50:00 | N/A |
| Scheduled Learning And Teaching Activities | Practical | 8 | 1:00 | 8:00 | N/A |
| Guided Independent Study | Independent study | 50 | 1:00 | 50:00 | N/A |
| Total | 200:00 |
Teaching Rationale And Relationship
Lectures provide the theory of the topics covered. Computer classes will teach how to use real world data to understand the theory. The computer classes will help understand the use of a software package. Independent study would help to analyse and review the theory and methods covered in lectures and classes.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Essay | 2 | A | 100 | 4000 word paper (focussed on econometric methodology that resembles the style of a journal article) |
Assessment Rationale And Relationship
The essay will help students form an idea how to write empirical articles that can be PhD chapters.\ \ RESIT INFORMATION: If students are eligible to a second attempt resit will be an assignment and the resit calculation will be based 100% on the submission.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- NBS8565's Timetable