Research Methods in Finance: Empirical Methods in Finance
Essex Business School
Postgraduate: Level 7
Thursday 08 October 2020
Friday 18 December 2020
22 September 2020
Requisites for this module
BE361, BE362, BE369
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,
PHD N30048 Finance,
MACCN440 Accounting and Finance,
MACCN441 Accounting and Finance (Including Placement Year),
MACCN442 Accounting and Finance (Including Year Abroad)
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 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.
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
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.
This module does not appear to have a published bibliography.
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 Cheng Yan, email: firstname.lastname@example.org.
Dr Cheng Yan and Dr Christos Argyropoulos
Prof Donal Gregory McKillop
Queen’s University Belfast
Professor of Financial Services
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).
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