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The focus of this basic course is on the corporate financial manager and how he/she reaches decisions. Topics include: financial modelling; financing methods of various sorts; capital investment; exchange-rate risk management; acquisitions; buyouts; and dealing with financial distress. In addition to corporations, both domestic and foreign, one session will be devoted to financing a non-profit. The course is designed as a natural follow-up to the Winter Quarter Managerial Finance course, and will draw on things learned in that course. F-211 embraces both the big picture€ and rigorous financial analysis. It is applied, but within a conceptual valuation-oriented framework. The primary vehicle of instruction is the case method, supplementednwith lectures. The emphasis throughout is on making a decision on the basis of well supported analyses. Class participation is important, and cold calls will occur with regularity.

The focus of this course is to apply the fundamental ideas and tools of corporate finance to real-world corporate decisions. This course (in either its basic or accelerated format) is designed to be the second course in a standard finance sequence; that is, it is designed to be the natural follow-up to the Winter Managerial Finance course. This course will develop and extend standard tools and techniques of financial analysis, valuation, and model-building, and apply these methods to a wide range of cases. Case topics will include capital structure, valuation, mergers and acquisitions, private equity and venture capital, international finance, hostile takeovers and leveraged buyouts, financial distress and bankruptcy. Students will be expected to develop detailed model-based analyses for the cases using the tools and techniques we develop in this course, and to employ their analyses to reach and defend specific recommendations for these cases.

This course will combine practical and up-to-date investment theory with modeling applications. Understanding beautiful theory, without the ability to apply it, is essentially useless. Conversely, creating state-of-the-art spreadsheets that apply incorrect theory is a waste of time. Here, we try to explicitly combine theory and application.nnThe course will be divided into 6 modules, or topics. The first day of each module will be a lecture on an investment topic. Also provided is a team modeling project on the topic. The second day of each module will be a lab. The lab day will begin with modeling concepts (tips) designed to help you use Excel to implement the module's investment topic. After the tips are provided, the remainder of the lab day is devoted to teams working on their modeling project and allowing for Q&A. On the third day of each module will be presentations and wrap-up.

This course is designed to help students understand the connections between money (the Federal Reserve), financial markets, and the macroeconomy. How are interest rates determined, and how does the Federal Reserve conduct monetary policy? What economic factors drive the yield curves in different bond markets? We will pay particular attention to the banking system, with an eye toward understanding the function and importance of banks. Topics will include the role of the Federal Reserve as a lender of last resort during the recent, and prior, financial crises, unconventional monetary policy tools such as quantitative easing and forward guidance. We discuss the role of the government in regulating the financial sector, paying particular attention to capital requirements for banks. We will often begin class with a discussion of current macro-financial market events in the context of our course coverage. The course is appropriate for anyone trying to gain a macroeconomic perspective on capital markets, from investors to bankers, or those simply interested in the linkages between interest rates, banks and the economy. Given the topics we cover, the course will also be interesting to those who want a better understanding of the 2007-2009 financial crisis and the ongoing Federal Reserve experiment in unconventional monetary policy.

The course will take the perspective of a mid-level manager or decision-maker who is responsible for collecting, analyzing, and utilizing financial information in the context of a major transaction. We will integrate theories presented throughout courses in the core, particularly accounting and finance, and take a hands-on approach to understand how the theory is implemented in practice. The focus of the course will be on developing critical financial modeling skills, understanding best practices, and recognizing common pitfalls. Students will work on a series of cases and build models that can be used for earnings and pro-forma financial statement forecasts, valuation, the assessment of financing needs, merger analysis, and LBO evaluation. Students will also gain experience presenting financial models and critically assessing them. By the conclusion of the course, students will develop the skills to construct complex financial models and the logical frameworks to utilize them for various organizational applications. [Note: This course is geared toward students relatively new to financial modeling; those with extensive financial modeling backgrounds may be better served by an alternative course.]

Students will engage in the development of corporate financial modeling cases and solutions. Students will also develop materials to aid others in building financial models, and serve as case leaders during lab workshops. Extensive background in financial modeling and experience with Excel is required.

This is a 9-week speaker series, exposing students to the world of first-class public market investors. Each week will have a different visitor describing their investment philosophy, strategy and experience. Full attendance is a requirement to pass the course. Absences must be explicitly excused.

The purpose of this course is to familiarize students with the different types of trading strategies employed by various money management institutions. These financial trading strategies are used to manage the risk and return profiles of specific portfolios. Throughout the sessions, students will be challenged to understand and explore the application and implementation of these different strategies. Trading simulations employed on the Rotman Interactive Trader and Rotman Portfolio Manager (using real market data and computer generated data) will be used extensively in this course as a way to learn and test different strategies. All classes will be held in the new Real-time Analytics and Investment Lab (RAIL), located on the third floor of the Bass Building (B312). Students are expected to attend all sessions. Graded are based on in-class simulation results, class participation, and two written assignments. This course is designed to have a fast learning curve and is a pre-requisite for FIN563, the advanced extension of this course.

This course is an extension of FIN562, Financial Trading Strategies. Students will expand on introductory topics from the Financial Trading Strategies Course and be required to build extensive live-market models and risk management models. Class discussions will closely link current market events and pricing anomalies to theoretical and simulated markets and we will closely study the deviations between them.