Research Methods in Finance: Empirical Methods in Finance

The details
Essex Business School
Colchester Campus
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
24 September 2019


Requisites for this module


BE361, BE362, BE369

Key module for

MSC N31012 Banking and Finance,
MSC N31024 Banking and Finance,
MRESN30012 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 N30112 International Finance,
MSC N30124 International Finance,
MSC N3G312 Finance and Data Analytics,
MSC N35112 Finance and Global Trading,
MPH N30024 Finance,
MPH N30048 Finance,
MPHDN30036 Finance,
MPHDN30048 Finance,
MPHDN30072 Finance,
MPHDN300FA Finance,
MPHDN300FJ Finance,
MPHDN300PA Finance,
MPHDN300PJ Finance,
MSD N30012 Finance,
MSD N30024 Finance,
PHD N30036 Finance,
PHD N30048 Finance,
PHD N30072 Finance,
PHD N300FA Finance,
PHD N300FJ Finance,
PHD N300PA Finance,
PHD N300PJ Finance

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 EViews 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

This module is core for:

MPhD in Finance (Intergrated)
MSc in Finance
MSc in International Finance
MSc in Banking and Finance
MSc in Financial Engineering and Risk Management
MSc in Finance and Global Trading
MSc in Finance and Investment
MSc in Finance and Data Analytics
PhD in Finance (Integrated)

This module is compulsory for:

DIP in Mathematics and Finance
MSc in Mathematics and Finance
MSc in Finance and Management

EBS Student Services

Learning and teaching methods

The module material will be delivered in the following way: 1. 2-hour lecture each week; 2. 1-hour weekly class. You will be assigned to a class and you must attend that class. Your class attendance will be monitored!


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 30/01/2020 100%
Coursework Dissertation Choice Submission Form 17/02/2020
Exam 120 minutes during Early Exams (Main)

Overall assessment

Coursework Exam
50% 50%


Coursework Exam
50% 50%
Module supervisor and teaching staff
Dr Sam Astill and Dr Cheng Yan



External examiner

Prof Donal Gregory McKillop
Queen’s University Belfast
Professor of Financial Services
Available via Moodle
Of 44 hours, 34 (77.3%) hours available to students:
10 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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