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.
|Faculty||Bond Business School|
1. Demonstrate the role and objective of financial management and compute key valuation metrics.
2. Apply the concept of time value of money to complex problems using advanced techniques.
3. Apply valuation models for sophisticated financial instruments.
4. Create advanced models for cash flow analysis, evaluation techniques and capital budgeting.
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):
|Withdraw – Financial?||05/10/2019|
|Withdraw – Academic?||26/10/2019|
|Withdraw – Financial?||08/02/2020|
|Withdraw – Academic?||29/02/2020|
|Withdraw – Financial?||20/06/2020|
|Withdraw – Academic?||11/07/2020|
|Withdraw – Financial?||10/10/2020|
|Withdraw – Academic?||31/10/2020|