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EC5213 - Financial Econometrics
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
4 |
Administered by: |
College of Business, Law & Governance |
This subject explores advanced time-series and panel-data analysis, which has wide
applicability in analysing financial data, e.g. stock exchange returns, exchange rates,
interest rates and bond rates. The subject covers current econometric models used
in this field, including univariate / multivariate models, volatility modelling and
forecasting, co-integration analysis, extreme theory and value-at-risk (market risk
measure) modelling.
Learning Outcomes
- appraise the empirical characteristics of financial data and show advanced and integrated
knowledge of the properties of econometric techniques used in financial data analysis;
- critically evaluate the results of time-series and panel-data analysis to draw integrated
and advanced-level policy conclusions;
- analyse time-series and panel-data to model both long-run relationships and short-run
interactions among financial time series in order to comprehensively test research
hypotheses.
Subject Assessment
- Written > Examination (centrally administered) - (40%) - Individual
- Written > Test/Quiz 1 - (30%) - Individual
- Written > Research report - (30%) - Individual.
Prerequisites: |
BU4054 |
Inadmissible Subject Combinations:
|
EC3414 |
Availabilities
|
Cairns,
Study Period 4,
Mixed attendance
|
Census Date 23-Mar-2023 |
Face to face teaching
13-Feb-2023 to 30-Apr-2023
|
Coord/Lect: |
Dr Rabiul Beg. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 30 hours workshops
- 10 hours online activity - Recordings, online activities & self-directed learning
- assessment and self-directed study
|
|
|
Townsville,
Study Period 4,
Mixed attendance
|
Census Date 23-Mar-2023 |
Face to face teaching
13-Feb-2023 to 30-Apr-2023
|
Coordinator: |
Dr Rabiul Beg |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 30 hours workshops
- 10 hours online activity - Recordings, online activities and self-directed learning
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.