Research Methods in Finance: Empirical Methods in Finance
Essex Business School
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
04 October 2018
Requisites for this module
BE361, BE362, BE369
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 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,
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
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.
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.
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.
The course will deliver several skills that will be useful in your future professional life. These include:
* Written Communication (through coursework)
* Research Skills (a key objective in this module)
* Critical Thinking
* Digital and Technical Fluency (using econometric software)
* Data and Analytics
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
The module material will be delivered in the following way:
a) 2-hour lecture each week
b) 1-hour weekly computer workshop.
You will be assigned to a class and you must attend that class.
Your class attendance will be monitored.
The workshops will be held in the PC Labs where you will have uninterrupted and supervised practical sessions on Eviews to complete the class exercises. It is very important that you complete all the readings immediately after each lecture because these are an integral part of the module.
This module does not appear to have a published bibliography for this year.
|Assessment items, weightings and deadlines
|Coursework / exam
||2,000 word assignment
||Dissertation Choice Submission Form
||120 minutes during Early Exams (Main)
Module supervisor and teaching staff
Dr Sam Astill and Dr Cheng Yan
Prof Donal Gregory McKillop
Queen’s University Belfast
Professor of Financial Services
Available via Moodle
Of 54 hours, 33 (61.1%) hours available to students:
21 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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