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 Techniques for Accounting and Finance
Code ACFI815
Coordinator Dr C Wese Simen
Finance and Accounting
C.Wese-Simen@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2020-21 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   12

       24

 36
Timetable (if known)   120 mins X 1 totaling 12
  		      120 mins X 2 totaling 24
  		 
Private Study 114
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
             
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Individual assignment. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment.  -3000 words    100       

Aims

This module aims to enable students to:

Develop their awareness of the quantitative techniques used in the accounting and finance literature;

Formulate, implement, and interpret quantitative empirical models;

Develop and test interesting hypotheses;

Critically evaluate the performance and soundness of a statistical model.

Learning Outcomes

(LO1) Students will be able to compute and interpret some descriptive statistics.

(LO2) Students will be able to formulate an econometric model and test hypotheses.

(LO3) Students will be able to interpret the output of a statistical software to make recommendations.

(LO4) Students will be able to critically evaluate the limitations of their models and possible solutions.

(LO5) Students will be able to understand and appraise the methodologies used in the accounting and finance research literature.

(LO6) Students will be able to discuss and select the most appropriate methods and techniques to analyse a research question in accounting and finance.

(S1) Numeracy
Students will learn to characterise the dataset they are working with.

(S2) Problem solving
Upon completion of this module, students will be able to use statistical models to tackle interesting questions in accounting and finance.

(S3) IT skills
Through the workshops, students will learn how to use a statistical package to carry out an empirical analysis.

(S4) Critical Thinking
Students will learn to critically evaluate the use of quantitative techniques.

Teaching and Learning Strategies

Hybrid delivery, with social distancing on campus.

Online asynchronous learning materials x 24 hours

Face-to-face seminars x 12 hours

Self-directed learning x 114 hours
Students will engage in independent study of detailed background information around topics covered in lectures and seminars. Some of the activities include completing the reading assignments and completing the “knowledge check” self-assessment quizzes.

Syllabus
 

Mathematical operations and functions;

Linear algebra: System of equations and matrix algebra;

Differentiation and linear programming;

Regression models;

Statistical inference;

Diagnostic checks.

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