ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title QUANTITATIVE METHODS FOR FINANCE
Code ECON901
Coordinator Dr M Stamatogiannis
Finance and Accounting
M.Stamatogiannis@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2019-20 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
 

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
 

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 24

     10

     34
Timetable (if known)              
Private Study 116
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Examination There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :1  2 hours    80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Mid-term Test There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :1  1hr    20       

Aims

The aim of this module is to provide students with a solid foundation in the statistical and econometric techniques that allow them to conduct independent empirical investigations in economics and finance. The approach centres on the linear multiple regression methods, including their use in estimating and testing the validity of models in economics and finance.

The aims are that students will:

Understand aspects of the theories and principles of econometric analysis in economics and finance;

Be aware of a range of inferential techniques commonly employed in econometrics;

Understand the limitations of such techniques in different circumstances.

Learning Outcomes

(LO1) Discuss, evaluate and apply a range of mathematical and statistical techniques necessary for understanding and using econometrics methodology in finance and economic development;

(LO2) Use a number of statistical and econometric packages in real (simple) applications;

(LO3) Formulate, estimate and test a wide range of linear and non-linear models commonly encountered in financial analysis.

(S1) Problem solving skills

(S2) Numeracy

(S3) IT skills

(S4) Communication skills

(S5) Time management skills

Teaching and Learning Strategies

Teaching Method 1 - Lecture
Description:
Attendance Recorded: No

Teaching Method 2 - Laboratory Work
Description: Laboratory work involves the use of Management School data facilities such as the Bloomberg training centre where students are asked to apply conceptual work using real data.
Attendance Recorded: Yes

Syllabus
 

Introduction of quantitative research techniques;

Reviews of probability and statistics;

Least squares estimation;

Inference and hypothesis testing;

Specification and functional form;

Heteroskedasticity;

Autocorrelation;

Introductory time-series analysis;

Simulation analysis;

Technical analysis;

Finance applications and examples;

Software and data sources: Eviews, Bloomberg, Datastream etc.

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.