IB2B2-15 Financial Econometrics
Introductory description
The module aims to provide a solid grounding in the principles and techniques of modern financial econometrics. In doing so, it will serve as an introduction to key econometric and statistical methods of empirical investigation in Finance and Financial Economics.
Module aims
The module aims to equip students with the following competencies, in particular:
- Establish the specific characteristics of a financial dataset.
- Undertake empirical analysis of financial-markets data.
- Understand the features of univariate time-series modelling.
- Understand volatility and correlation modelling and their relevance for financial investment decisions.
- Use of econometric software packages as tools for quantitative and statistical analysis.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Asset returns and the Efficient Markets Hypothesis.
Present-value relations and returns predictability.
Univariate time-series analysis.
Univariate volatility modelling: ARCH and GARCH.
Correlation and covariance modelling: RiskMetrics.
Portfolio allocation and risk assessment.
Forecast and assessment of market risk (Value-at-Risk).
Non-stationarity and co-integration.
Forecasting and modelling long-run relationships in Finance.
Panel Data: fixed-effects and random-effects models.
Learning outcomes
By the end of the module, students should be able to:
- Understand the theoretical principles underpinning a suite of introductory econometrics and statistical tools.
- Select the most appropriate model specification and econometric setup to answer a research question in empirical Finance.
- Assess the robustness and power of a suite of statistical and econometric techniques for analysing financial data.
Indicative reading list
Brooks C (3rd edition, 2014) Introductory Econometrics for Finance, Cambridge University Press
Campbell J, Lo A and MacKinlay A (1997): The Econometrics of Financial Markets, Princeton University Press
Christoffersen, P (2nd edition, 2012) Elements of Financial Risk Management, Elsevier, Academic Press
Wooldridge, (6th edition, 2016) Introductory Econometrics: A Modern Approach, Cengage
Subject specific skills
Upon successful completion of the module, students will be able to:
(a) carry out robust empirical analysis of cross-sectional, time-series and panel data in Finance.
(b) critically evaluate and replicate aspects of published empirical finance studies.
Transferable skills
Upon successful completion of the module, students will be able to:
(a) design and undertake small inquiry-based projects in empirical finance.
(b) critically evaluate a range of econometric techniques for analysing financial data.
Study time
| Type | Required |
|---|---|
| Lectures | 10 sessions of 1 hour (13%) |
| Seminars | 9 sessions of 1 hour (12%) |
| Online learning (independent) | 10 sessions of 1 hour (13%) |
| Private study | 49 hours (63%) |
| Total | 78 hours |
Private study description
No private study requirements defined for this module.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D2
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Group Report | 20% | 14 hours | No |
| In-person Examination | 80% | 58 hours | No |
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Exam
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Assessment group R2
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Individual Assignment | 20% | Yes (extension) | |
| In-person Examination | 80% | No | |
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Exam
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Feedback on assessment
In-class and on my.wbs
Pre-requisites
To take this module, you must have passed:
There is currently no information about the courses for which this module is core or optional.