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 | Theory of Finance II | ||
Code | ACFI234 | ||
Coordinator |
Dr A Kagkadis Finance and Accounting A.Kagkadis@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2024-25 | Level 5 FHEQ | Second Semester | 15 |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
ACFI225 Econometrics for Finance 1; ACFI130 Data Analytics; ACFI131 Economics of Risk and Uncertainty; ACFI132 Computational Methods |
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 |
8 |
32 | ||||
Timetable (if known) | |||||||
Private Study | 118 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 1: MCQ Assessment Assessment Type: Written examination, not managed by SAS Duration: 2 hours Weighting: 30 % Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Pen | 2 | 30 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment Type: Individual Report Duration: 2 months Size: 3000 words Weighting: 70 % Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Applies Anonymous Assessmen | 0 | 70 |
Aims |
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This module aims to equip students with knowledge about theories of financial markets. Upon successful completion of this module, students should be able to explain key financial theories. Furthermore, they should be able to use financial data to empirically evaluate the predictions of these theories. Finally, the students should be able to discuss the implications of financial market theories for commercial developments in the private sector. |
Learning Outcomes |
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(LO1) Students will be able to explain key theories in the area of asset pricing |
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(LO2) Students will be able to critically evaluate financial market theories |
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(LO3) Students will be able to propose explanations to potentially rationalise financial market anomalies |
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(LO4) Students will be able to discuss the implications of financial market theories for the financial service industry |
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(S1) Commercial Awareness |
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(S2) Communication |
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(S3) Digital Fluency |
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(S4) Lifelong Learning |
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(S5) Analytical |
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(S6) Problem Solving |
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(S7) Organisation |
Teaching and Learning Strategies |
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Teaching Method - Lectures Teaching Method – Seminar (8 seminars of 1 hour each) Self-Directed Learning Hours: 118 hours Journal articles and financial press articles will be used to enrich the learning. The teaching will also be supported by individual online activities. These include self-assessment quizzes that enable students to evaluate their own learning and receive formative feedback instantaneously. Furthermore, discussion boards will be used to further foster the exchange of ideas, thus deepening the knowledge of students and improving their communication skills. These activities will be moderated by the module instructor. Students will also be directed to key academic and practitioner readings to further develop their learning. This module is a pre-requisite for the following modules: Skills/Other Attributes Mapping Skills / attributes: Commercial Awareness Skills / attributes: Communication Skills / attributes: Digital Fluency Skills / attributes: Lifelong Learning Skil
ls / attributes: Analytical Skills / attributes: Problem solving Skills / attributes: Organization |
Syllabus |
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• Portfolio choice |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |