BE953-7-AU-CO:
Research Methods in Finance: Empirical Methods in Finance

The details
2020/21
Essex Business School
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 08 October 2020
Friday 18 December 2020
20
22 September 2020

 

Requisites for this module
(none)
BE399
(none)
(none)

 

BE361, BE362, BE369

Key module for

MSC N42012 Accounting and Finance,
MSC N42024 Accounting and Finance,
MSC N31012 Banking and Finance,
MSC N31024 Banking and Finance,
MSC N30012 Finance,
MSC N30024 Finance,
MSC N39012 Finance and Investment,
MSC N39024 Finance and Investment,
MSC N30212 Finance and Management,
MSC N30224 Finance and Management,
MSC N34212 Financial Engineering and Risk Management,
MSC N34224 Financial Engineering and Risk Management,
MSC N3G312 Finance and Data Analytics,
MSC N35112 Finance and Global Trading,
MPHDN30048 Finance,
PHD N30048 Finance,
MACCN440 Accounting and Finance,
MACCN441 Accounting and Finance (Including Placement Year),
MACCN442 Accounting and Finance (Including Year Abroad)

Module description

The primary purpose of this module is to provide the student with the basic econometric tools and experience necessary to begin conducting empirical research in finance. The first part of this module covers a review of statistics and basic econometric models. The second part will concentrate on the application of econometric techniques in finance by considering such topics as (G)ARCH models, unit roots and cointegration.

Module aims

The main aims of the module are:
1. to enable students to acquire the skills and techniques necessary to understand and critically evaluate the research literature;
2. to enable students to develop and apply those skills and techniques when writing their dissertations over the Spring and Summer terms.

Module learning outcomes

On successful completion of the module, students will be able to:
1) to understand the OLS estimator and its limitations;
2) to undertake estimation and tests of hypotheses using financial data;
3) to use the appropriate econometric package to obtain estimates and to be able to interpret the output from the package;
4) to understand the econometric content in applied finance journals.

Module information

Skills for Your Professional Life (Transferable Skills)

The course will deliver several skills that will be useful in your future professional life. These include:
1) Written Communication (through coursework)
2) Research Skills (a key objective in this module)
3) Critical Thinking
4) Digital and Technical Fluency (using econometric software)
5) Data and Analytics

Learning and teaching methods

Contact time consists of a two-hour lecture per week for ten weeks and a one-hour compute: 1. 2-hour lecture each week; Additional online support hours are scheduled for both the lecture and the labs sessions. Labs are absolutely essential for the learning process and the value added of this module. Students are expected to do the relevant reading and preparation before each lecture and lab. In academic year 2020-2021 the delivery is likely to be different and involve online learning.

Bibliography

This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   2,000 word assignment     100% 
Coursework   Dissertation Choice Submission Form     
Exam  120 minutes during Early Exams (Main) 

Overall assessment

Coursework Exam
50% 50%

Reassessment

Coursework Exam
50% 50%
Module supervisor and teaching staff
Dr Cheng Yan, email: cheng.yan@essex.ac.uk.
Dr Cheng Yan and Dr Christos Argyropoulos
E: ebspgtad@essex.ac.uk

 

Availability
No
No
No

External examiner

Prof Donal Gregory McKillop
Queen’s University Belfast
Professor of Financial Services
Resources
Available via Moodle
Of 714 hours, 0 (0%) hours available to students:
714 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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