BE314-5-SP-CO:
Financial Modelling

The details
2019/20
Essex Business School
Colchester Campus
Spring
Undergraduate: Level 5
Current
Monday 13 January 2020
Friday 20 March 2020
15
02 October 2019

 

Requisites for this module
BE300 or EC111 or IA712
(none)
BE313
(none)

 

BE333, BE937

Key module for

BSC N420 Accounting and Finance,
BSC N422 Accounting and Finance (Including Placement Year),
BSC NN43 Accounting and Finance (Including Foundation Year),
BSC NNK3 Accounting and Finance (Including Year Abroad),
BSC N390 Banking and Finance,
BSC N392 Banking and Finance (Including Placement Year),
BSC NH90 Banking and Finance (Including Year Abroad),
BSC NR3Y Banking and Finance with a Modern Language,
BSC N300 Finance,
BSC N301 Finance (Including Foundation Year),
BSC N302 Finance (Including Year Abroad),
BSC N304 Finance (Including Placement Year),
BSC N3T1 Finance with Mandarin,
BSC N340 Financial Management,
BSC N343 Financial Management (Including Placement Year),
BSC NH40 Financial Management (Including Year Abroad),
BSC N344 Finance and Management,
BSC N345 Finance and Management (Including Year Abroad),
BSC N346 Finance and Management (Including Placement Year),
BSC N347 Finance and Management (Including Foundation Year)

Module description

This module introduces students to quantitative methods that can be used to empirically analyse some of the theories introduced during other finance modules on their programmes, including asset pricing, portfolio analysis and corporate finance. With extensive use of appropriate quantitative software (EViews) students will be able to use real data to analyse financial models. An important component of the module involves using classical statistical concepts to test hypotheses relating to financial models.

Module aims

• To familiarise students with techniques for handling financial data
• To build a bridge between financial theories and practice
• To introduce students to regression analysis with financial applications

Module learning outcomes

On successful completion of the module, students will be able to:

• Understand the principles of regression analysis and hypothesis testing
• Appropriately apply and interpret regression models
• Conduct appropriate hypothesis tests of financial models
• Examine and manipulate data using EViews
• Estimate financial models using EViews

Module information

Skills for Your Professional Life (Transferable Skills)

The module is geared towards building up or enhancing the following transferable skills:

* Fluency in data download, manipulation and statistical analysis
* Ability to run basic statistical models and interpret and present findings
* Obtain knowledge of additional issues in regression analysis that will allow you to appropriately apply these methods in a wider range of situations

Learning and teaching methods

There shall be weekly two-hour lectures and weekly one-hour workshops. During the workshops you will be taken through examples using EViews. Each workshop shall consist of a number of tasks that relate to the preceding lectures and are designed both to give students an opportunity to apply the methods covered in the lecture and also improve their understanding of them. Although teaching staff will be available to answer queries you will nevertheless be expected to work independently during these workshops. Should you fail to complete all tasks for a given workshop you are advised to continue with the tasks in your own time. If you continue to have difficulties you should make use of the lecturers’ office hours.

Bibliography

  • Mark W. Stock; James H. Watson. (2019) Introduction to Econometrics, Harlow: Pearson Education Limited.

The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework EXCEL ASSIGNMENT 17/03/2020
Exam 120 minutes during Summer (Main Period) (Main)

Overall assessment

Coursework Exam
40% 60%

Reassessment

Coursework Exam
40% 60%
Module supervisor and teaching staff
Dr Mark Hallam and Dr Zhifang Zhang, Mr Islam, Mr Megaritis, Mr Vaziri
ebsugcol@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

Dr Apostolos Kourtis
The University of East Anglia
Senior Lecturer in Finance
Resources
Available via Moodle
Of 112 hours, 40 (35.7%) hours available to students:
72 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Essex Business School

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