| Code: | FINC71-302 |
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Description
An introduction to statistical techniques used in financial analysis and decision-making. Specific applications include capital budgeting, capital asset pricing model, arbitrage-pricing, portfolio modelling and the study of co-movements of different financial assets. The use of spreadsheets and related software tools is central to the learning experience of this subject to provide extensive opportunities to develop practical skills in financial analysis and modelling.
Subject details
Learning outcomes
- Demonstrate the role and objective of financial management and compute key valuation metrics.
- Apply the concept of time value of money to complex problems using advanced techniques.
- Apply valuation models for sophisticated financial instruments.
- Create advanced models for cash flow analysis, evaluation techniques and capital budgeting.
Enrolment requirements
| Requisites: |
Nil |
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| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge. Assumed Prior Learning (or equivalent):
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| Restrictions: |
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Subject outlines
- May 2023 [Standard - Finance Applications and Analysis]
- September 2022 [Standard - Finance Applications and Analysis]
- May 2022 [Standard - Finance Applications and Analysis]
- January 2022 [Standard - Finance Applications and Analysis]
- September 2021 [Standard - Finance Applications and Analysis]
- May 2021 [Standard - Finance Applications and Analysis]
- May 2020 [Standard - Finance Applications and Analysis]
- May 2019 [Standard - Finance Applications and Analysis]
- May 2018 [Standard - Finance Applications and Analysis]
- May 2017 [Standard - Finance Applications and Analysis]