2022/23 Undergraduate Module Catalogue

LUBS2227 Financial Econometrics

10 creditsClass Size: 186

Module manager: Vladimir Pazitka
Email: V.Pazitka@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2022/23

This module is mutually exclusive with

LUBS2575

Statistics and Econometrics

Module replaces

LUBS2224 Credit and Financial Analytics

This module is not approved as a discovery module

Module summary

This module is intended to give students a knowledge of research methods and statistical financial analytical techniques and how they can be used to analyse business related, financial and economic data sets. Further, the module aims to provide students with a basic, through to more advanced, level of understanding of the techniques of modern econometric practices as applied in finance. It provides skills and knowledge that are applied in other finance modules both in year 2 and final year.

Objectives

The aim of this module is to give students a knowledge of research methods and statistical financial analytical techniques and how they can be used to analyse business related, financial and economic data sets. Further, the module aims to provide students with a basic, through to more advanced, level of understanding of the techniques of modern econometric practices as applied in finance. Students will be equipped with the tools (statistical and econometric methods and the use of appropriate econometric software) required to model, analyse and predict financial market and corporate behaviour and to test theories and hypotheses in this field. Students will be given computer-based tasks in addition to class tasks and are expected to develop competence in the use of statistical and econometric software for data management and processing, time series and multiple regression analysis. The content provides skills and knowledge that are applied in other finance modules both in year 2 and final year.

Learning outcomes
On completion of the module students will be able to:
- Demonstrate an advanced level of knowledge of econometric tools employed in finance, incorporating knowledge from the CFA syllabus in quantitative methods;
- Competently use econometric software to conduct empirical investigations and interpret the output;
- Identify and critically evaluate how financial econometrics is used in current applied literature on financial modelling and forecasting;
- Critically evaluate published empirical papers in finance journals.

Skills outcomes
On completion of this module students will be able to:

- Demonstrate advanced problem solving, analytical and quantitative skills by applying current theory and appropriate analytical tools to complex problems in finance.
- Competently use econometric software to conduct empirical investigations and interpret the output.
- Identify and critically evaluate how financial econometrics is used in current applied literature on financial modelling and forecasting.
- Critically evaluate published empirical papers in finance journals.

Syllabus

Indicative content:

- Introduction to econometrics and dealing with data
- Probability distributions
- Statistical foundations, sampling and hypotheses testing
- Classical linear regression model
- Multiple linear regression model
- Model validity and diagnostics
- Univariate time series analysis
- Time series forecasting
- Applied econometric analysis

Teaching methods

Delivery type	Number	Length hours	Student hours
Workshop	9	1.00	9.00
Lecture	10	2.00	20.00
Private study hours			71.00
Total Contact hours			29.00
Total hours (100hr per 10 credits)			100.00

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

Opportunities for Formative Feedback

Students will have the opportunity to take a practice exam and will receive a formative feedback on it. Formative feedback will be also provided on exercises covered in workshops.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr 00 mins	100.00
Total percentage (Assessment Exams)		100.00

The resit for this module will be 100% by 2 hour examination.

Reading list

The reading list is available from the Library website

Last updated: 17/05/2022 15:20:43

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