Essex Business School
Undergraduate: Level 5
Sunday 15 January 2023
Friday 24 March 2023
08 December 2022
Requisites for this module
BE300 or BE303 or EC111 or IA712
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),
MACCN440 Accounting and Finance,
MACCN441 Accounting and Finance (Including Placement Year),
MACCN442 Accounting and Finance (Including Year Abroad),
BSC N390 Banking and Finance,
BSC N391 Banking and Finance (Including Foundation Year),
BSC N392 Banking and Finance (Including Placement Year),
BSC NH90 Banking and Finance (Including Year Abroad),
BSC N300 Finance,
BSC N301 Finance (Including Foundation Year),
BSC N302 Finance (Including Year Abroad),
BSC N304 Finance (Including Placement Year),
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)
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.
• 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
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
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
There shall be weekly two-hour lectures and weekly online lab class workshops. During the workshops you will be taken through examples using the EViews software package. 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.
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
||Main exam: Remote, Open Book, 120 minutes during Summer (Main Period)
||Reassessment Main exam: Remote, Open Book, 120 minutes during January
||Reassessment Main exam: Remote, Open Book, 120 minutes during September (Reassessment Period)
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Module supervisor and teaching staff
Dr Ilias Chronopoulos, email: firstname.lastname@example.org.
Dr Ilias Chronopoulos & Dr Ali Özbekler
No external examiner information available for this module.
Available via Moodle
Of 7 hours, 7 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
Disclaimer: The University makes every effort to ensure that this information on its Module Directory is accurate and up-to-date. Exceptionally it can
be necessary to make changes, for example to programmes, modules, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements,
industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to modules may for example consist
of variations to the content and method of delivery or assessment of modules and other services, to discontinue modules and other services and to merge or combine modules.
The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications and module directory.
The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.