Overview
Offerings
Requisites
Rules
Contacts
Chief Examiner(s)
Learning outcomes
analyse and interpret the time series patterns and distributional characteristics of financial data to gain insights into market trends
assess the relationship between risk and return for various financial assets to make data-driven investment decisions
apply statistical methods to test market hypotheses and evaluate asset pricing models
analyse and model the volatility of financial returns, and utilise measures such as value-at-risk (VaR) to assess and manage potential risks associated with investment portfolios
demonstrate proficiency in applying statistical software such as R to perform statistical analysis and derive meaningful insights from financial data for business applications.
Teaching approach
Assessment
Scheduled and non-scheduled teaching activities
Workload requirements
Learning resources
Other unit costs
Costs are indicative and subject to change.
Electronics, calculators and tools: $100