Courses - Faculty of Business And Economics
Finance
Stage II
Financial Management
Focuses on practical aspects of corporate finance. Topics covered include: concepts of value creation, risk and required rates of return, financial maths, capital budgeting, capital structure and dividend policies.
Prerequisite: ACCTG 102, and 15 points from ECON 221, ENGSCI 211, STATS 101, 108
Introduction to Investments
Markets for shares, fixed income securities, options and futures. Methods of valuing shares, fixed income securities, options, and futures. Simple techniques of hedging risk. Portfolio diversification. Portfolio evaluation.
Prerequisite: FINANCE 251 or 180 points in a BSc major in Mathematics or Statistics with a GPA of at least 5 and a B or higher in MATHS 130
Stage III
Advanced Financial Management
A rigorous study of advanced capital budgeting procedures, more difficult aspects associated with capital structure and dividend decisions, mergers and acquisitions. Case study applications of financial management are used. A continuation of the material introduced in FINANCE 251.
Prerequisite: FINANCE 251
Modern Investment Theory and Management
Portfolio theory and equilibrium asset pricing models and empirical tests. Portfolio management (forecasting, construction, administration and evaluation) including issues relating to fixed interest and international equity investment. A continuation of the material introduced in FINANCE 261.
Prerequisite: FINANCE 261 and 15 points from ENGSCI 211, MATHS 208, 250
Risk Management
Examines theoretical and practical aspects of risk management with an emphasis on the effective use of futures, options and other financial derivatives to control market risk exposure. Reviews no-arbitrage methods used to value financial futures and options, including the Black-Scholes model and binomial tree numerical methods.
Prerequisite: FINANCE 261 and 15 points from ENGSCI 211, MATHS 208, 250
Banking and Financial Institutions
Provides a thorough understanding of the role of banks and other financial institutions in the economy. It focuses on the problems of risk management and regulation with a particular emphasis on problems, crises and most importantly the Global Financial Crisis.
Prerequisite: FINANCE 251 or ECON 201 and 211
Postgraduate 700 Level Courses
Research Methods in Finance
The theory and application of modern research methods in finance. The content will include the philosophy, process and design of scientific research. Prior knowledge of basic statistical techniques is assumed.
Restriction: ACCTG 701
Governance Issues in Finance
An introduction to the economic literatures relating to property rights, transaction cost economics, and agency theory. Application of these notions to the way in which organisations are structured. Identification of why some transactions are internalised and some are undertaken through markets. The application of these ideas to finance.
Restriction: ACCTG 702
Empirical Finance
Examines the theory and application of modern research methods in finance. Through exposure to a range of contemporary research issues students will develop a basic framework of how to conduct research, and an overview of some of the pitfalls.
Modern Corporate Finance
Examines fundamental principles of corporate financial theory and discusses current issues, seminal theoretical contributions and empirical evidence regarding those theories. Specific topics will be chosen from capital structure, dividend policy, security issuance, mergers and acquisitions, corporate control and initial public offerings.
Portfolio Theory and Investment Analysis
Advanced coverage of contemporary issues in investments through readings of classic theoretical articles and recent empirical studies. Topics include: market efficiency and empirical anomalies, risk-return relationships and alternative investment vehicles and strategies. This course builds on material covered in FINANCE 261 and 361 and presumes the student has completed MATHS 208 or its equivalent.
Risk Management
The theory and practice of financial risk management for portfolio managers with an emphasis on defining and measuring market risk. This course builds on material covered in FINANCE 362 and MATHS 208 with extensions to include the use of futures, options and other financial derivatives to manage market risk.
Financial Machine Learning
Students are expected to apply contemporary machine learning methods to topics in finance. The course focuses on the design and implementation of machine learning solutions in the field of finance.
Research Project - Level 9
Restriction: FINANCE 789
To complete this course students must enrol in FINANCE 788 A and B, or FINANCE 788
Dissertation - Level 9
To complete this course students must enrol in FINANCE 791 A and B, or FINANCE 791
Thesis - Level 9
To complete this course students must enrol in FINANCE 794 A and B