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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.

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 covers strategic and tactical asset allocation in investment portfolios as well as specific asset and manager selection issues. We consider challenges that are unique to the various asset classes that comprise broad-based portfolios, including: public equities, fixed income securities, private equity (both buyout and venture capital), hedge funds, and real assets (real estate, energy, timber, and commodities). We also consider challenges that are specific to various geographies (e.g., domestic, developed international and emerging markets) across the various asset classes. The portfolio optimization framework employed considers the perspective of different types of investors that vary along such dimensions as risk preference, investment horizon, tolerance for illiquidity, tax status, social objectives, and special asset-specific relationship, information or skill advantages. More specifically, our framework considers: tradeoffs between seeking diversification to control risks, and making concentrated bets where there appears to be outsized return prospects (whether due to one-off proprietary investment opportunities or the market appearing to value certain sectors improperly); tradeoffs between passive investment (at low administrative cost and complexity) and active investment designed to produce premium returns (despite the incremental cost and complexity); distinctions between investing as principals and delegating to managers, and the importance of aligning incentives among all parties; the importance of liquidity in driving the pricing, risk and expected returns to various asset classes and the importance of identifying which parties are natural suppliers of liquidity and which the natural demanders; the importance of effective underwriting and ongoing monitoring of investment opportunities; the importance of tax considerations in the pricing and expected returns to various asset classes; and the importance of identifying which parties form the natural clienteles in each asset class. For a number of the sessions, we will invite domain experts to add spice and depth to a portion of the class discussion.

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.nnnThe 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.

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. nnThe 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. nnStudents 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. nn[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 course about the financial decision-making process for start-up firms. The course takes a two-pronged approach: First, we develop tools and concepts of corporate finance related to modeling, valuation, control, and investment decisions within an entrepreneurial context. Second, we use cases with firms at different stages of their life cycle from initial angel or venture capital investments through exit decisions, to see the issues that arise when these principles are applied in practice. In some cases we take the viewpoint of the entrepreneur and in others the viewpoint of the investor. After all, as an entrepreneur, you cannot negotiate effectively without understanding the investor's motivations. Conversely, you cannot evaluate a potential investment opportunity without appreciating the entrepreneur's perspective and incentives. Finally, we explore new developments in entrepreneurial finance such as crowdfunding and early liquidity provision.

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.nnnThis course specifically focuses on the execution, mechanics, and measurement of financial trading strategies. It does not, for example, teach students "how to make money playing the market." The decision making and analytical process of investing (finding alpha strategies) is a distinct process that is somewhat removed from implementation and measurement (how to execute and evaluate your alpha strategies).nnnThe focus of the course concepts will include, but not be limited to:nnn* Market Microstructure and Market Liquidity- VWAP, sourcing liquidity, and algorithmic strategiesnn* Portfolio Hedging and Risk Management- portfolio insurance and delta hedgingnn* Hedge Fund Strategies- inter-listed arbitrage, risk-arbitrage, trading volatilitynnnTrading 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" (the GSB's own Hi-speed R.A.I.L), located on the third floor of the Bass Building (B312).nnnStudents are expected to attend all sessions. Students will be graded based on their in-class trading results and two assignments. nnnKevin Mak is the co-inventor of the Rotman Interactive Trader and Rotman Portfolio Manager applications. Previously, he has taught in various courses relating to financial securities, risk management, and trading at the University of Toronto's Rotman School of Management. Kevin also develops and delivers trading simulations and trading models for various financial institutions.

This course considers a wide range of topics in theoretical corporate finance (broadly interpreted). Topics include capital structure decisions, agency conflicts in the firm, dividend policy, security design, optimal financial contracting, the theory of the firm, the market for corporate control, and banking and financial intermediation, among others. The primary focus is on how asymmetric information, agency conflicts, strategic interactions, and incomplete contracting affect corporate financial decision-making. The course aims both to familiarize students with influential papers and current research, and to promote new research ideas in the area.