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An introduction to elements of mathematics and computational techniques employed in finance and financial risk management. An introduction to programming tools, e.g. VBA, Matlab, and an object oriented programming language (e.g. C++).

An introductory course in the theory of finance and investor behavior, financial decision-making under uncertainty as well as capital market equilibrium.

Financial econometrics for testing asset pricing models and portfolio performance measurement.

A survey of asset pricing models including linear factor models, CAPM, and arbitrage models. Multi-period consumption, portfolio choice, and asset pricing models; continuous-time consumption and portfolio choice; behavioral finance and asset pricing; asset pricing with differential information.

An introduction to portfolio management, equity valuation, debt valuation, and performance and risk measurement.

The term structure of interest rates, fixed income returns, yield-spread analysis, sources of risk in fixed income securities, and embedded options.

An introductory course in derivative securities that includes pricing as well as the use of derivative securities in portfolio management and structured transactions.

Provides an understanding of the linkages between financial statements such as annual reports and prospectuses including the three principal financial statements (balance sheet, income statement and cash flow statement) and how useful information about a company can be extracted from them.

Computational tools for financial analysis, financial engineering and risk management.

An assessment of the risk management practices of financial institutions. A survey of best practices with respect to enterprise risk management, including risk architecture and risk communication and disclosure within the organization.

Special Topics for Business Administration.

Provides students with a review of the fundamentals of the mathematics that they will be expected to know to be successful in the broader M.Sc. in Finance program. Many of the examples and exercises used will be motivating using common problems encountered in portfolio construction and analysis, econometrics, and option pricing. This course is graded on the satisfactory/unsatisfactory basis and may be waived by successfully passing a challenge exam prior to the start of the program.

Provide students with a review of the fundamentals of random variables and statistics that they will be expected to know to be successful in the broader M.Sc. in Finance program. Covering topics such as regression, estimation, simulation and hypothesis testing, the course examples and exercises provide a foundation on which to build a greater understanding of economic analysis and forecasting. This course is graded on the satisfactory/unsatisfactory basis and may be waived by successfully passing a challenge exam prior to the start of the program.

Assumptions underlying the Capital Asset Pricing Model are relaxed to allow for specific views on asset returns, and to allow for the expected future consumption needs of a given investor to be considered at a strategic level.

The valuation of equity securities, including company and industry analysis, financial statement analysis and valuation models.

Four main topics are covered: portfolio theory, asset pricing, market efficiency, and performance measurement. The first two are cornerstones of financial economics, as, for the most part, portfolio selection models form the basis of models of asset pricing. The third cornerstone is the efficient markets hypothesis, which asks whether prices reflect information. Finally, asset pricing models provide the basis for many risk-adjusted measures of the performance of mutual, pension, and hedge funds.

Extensions of advanced topics beyond those covered BUS 802 and 805. Prerequisite: BUS 814 (co-requisite acceptable).

Credit risk management with emphasis on portfolio models, including probability of default and loss given default models, credit capital allocation, active portfolio management, credit derivatives, and structured transactions.

Value at risk, advanced market risk models, statistical models, stress testing, scenario analysis, and risk-adjusted performance measurement.

A risk management research project, completed within the final academic term, based on ideas generated in previous terms, with in-class sessions on topic development, presentation, and reporting of findings as well as regular meetings with a designated supervisor. Project may be done individually or in pairs. Graded on a satisfactory/unsatisfactory basis.

Students in this course will manage the Student Investment Advisory Service (SIAS) fund which includes $10 million of the university's endowment portfolio, funded by contributions from HSBC Bank Canada and Lohn Foundation. SIAS fund follows a value investing mandate set by the client (¶¡ÏãÔ°AV) through a conservative investment policy statement. The fund is composed of four actively managed asset classes: Cash, Canadian Equity, Global Equity and Fixed Income. SIAS fund reports monthly compliance and performance to the client and faculty advisors. Additionally, performance review presentations are held on a quarterly basis. Students must be enrolled in BUS 880 no later than the second term of enrolment and throughout the program in order to successfully complete the course.