Keith Godfrey

FIN 201 - Introduction to Finance

Types of securities and basic methods of valuation. Valuation and selection of physical and intellectual assets. Operation of asset markets and market efficiency. Risk measures and risk reduction methods. Financing policy, including choices between debt and equity financing. Note: Students are expected to have basic familiarity with microcomputer applications. Prerequisite: STAT 161 or equivalent. Pre- or corequisites: ACCTG 200 or 300 or ACCTG 211 or 311. Students may not receive credit for both FIN 201 and FIN 301.

FIN 455 - Financial Modelling

Financial models are important in financial statement preparation, cash flow analysis, capital budgeting, business valuation, risk management, performance analysis, and many other management decision processes. In this course you will learn to construct financial spreadsheet models using current best practices with the functionality available in Excel. Topics include modelling basics, spreadsheet operations, financial statement models, valuation models, cost of capital, corporate transactions, sensitivity and scenario analyses, aesthetics and visualization, time series models, and an introduction to advanced Excel features. The emphasis is on building good models that help in decision making, with examples and exercises from the breadth of corporate finance. Prerequisite: FIN 201.

FIN 501 - Managerial Finance

Fundamental concepts in asset valuation are discussed within the context of simple asset pricing models and efficient financial markets. This course introduces the valuation of financial assets such as bonds and stocks. Further topics include the issuing of financial securities, leverage, dividend policy, cash management, and derivative securities. Prerequisites: ACCTG 501 and MGTSC 501.

FIN 625 - Finance in Professional Accounting

Intended for students pursuing the CPA designation, this course looks at derivatives, hedging, risk management, financial statement analysis and valuation. Open to students enrolled in the MAcc program only.

MMA 612 - Financial Analytics

This course integrates financial skills with data science for enterprise decision-making, structured into four key sections. It covers core financial modeling skills, including interest rate discounting and uncertainty modeling, and explores Real Optionality to understand how management decisions and uncertainties affect valuation, focusing on NPV@Risk. The section on Decision Quality (DQ) delves into its relevance in business, biases, risk definition differences in finance and enterprise, and practical implementation strategies. Lastly, the course emphasizes creating interactive Data Science applications, teaching students to develop apps for engaging senior management, with all content exclusively using R programming. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

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