This module is not currently running in 2021 to 2022.
There is no specific syllabus for this course. Students select from a range of case studies covering a variety of financial topics. The theoretical background for the case studies is covered in the MSc finance specialist subjects in the first two terms. Students use their knowledge of the theory and techniques of finance, to analyse and report on the selected cases. The emphasis is on application of the financial techniques using real life data, producing results and analysis and interpretation of the results for particular cases.
Students are introduced to the methodology to carry out case studies and learn how to write case study reports in the lectures.
5 hours of lectures, contact hours to be arranged with supervisor.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes. Depending on the case study selected by the student, on successful completion of the module students will have
a. enhanced their knowledge and understanding of the theories in finance and risk, and the techniques used to analyse and solve problems in major areas of finance and risk.
b. gained the ability to apply the theoretical concepts in mathematics, statistics and finance to real life cases in finance and risk.
c. enhanced their ability to apply a range of mathematical, statistical and financial and techniques to real life cases related to finance and risk.
d. gained a deep understanding of the market/environment relevant to the particular case and the issues of interest/concern.
e. gained the ability to select and use a range of financial modelling and computing techniques in the context of the case study.
f. gained the skills to search for and select material relevant to and required for the case study.
g. improved their ability to write a case report of a standard comparable to professional documents.
The intended generic learning outcomes. On successful completion of the module, students will have
a. improved their communication skills.
b. gained the ability to interpret quantitative information.
c. improved their computing skills.
d. enhanced the ability for independent research and problem solving skills.
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