Case studies

Hedge fund Magnetar Capital had returned 25 percent in 2007 with a strategy that posed significantly lower risk to investors than the S&P 500. Magnetar had made more than $1 billion in profit by noticing that the equity tranche of CDOs and CDO-derivative instruments were relatively mispriced. It took advantage of this anomaly by purchasing CDO equity and buying credit default swap (CDS) protection on tranches that were considered less risky. Now it was the job of Alec Litowitz, chairman and chief investment officer, to provide guidance to his team as they planned next year's strategy, evaluate and prioritize their ideas, and generate new ideas of his own. An ocean away, Ron Beller was contemplating some very different issues. Beller's firm, Peloton Partners LLP, had been one of the top-performing hedge funds in 2007, returning in excess of 80 percent. In late January 2008 Beller accepted two prestigious awards at a black-tie EuroHedge ceremony. A month later, his firm was bankrupt. Beller shorted the U.S. housing market before the subprime crisis hit, and was paid handsomely for his bet. After the crisis began, however, he believed that prices for highly rated mortgage securities were being unfairly punished, so he decided to go long AAA-rated securities backed by Alt-A mortgage loans (between prime and subprime), levered 9x. The trade moved against Peloton in a big way on February 14, 2008, causing $17 billion in losses and closure of the firm.

This case analyzes the strategies of the two hedge funds, focusing on how money can be made and lost during a financial crisis. The role of investment banks as lenders to hedge funds such as Peloton is explored, as well as characteristics of the CDO market and an array of both mortgage-related and credit protection-related instruments that were actively used (for better or worse) by hedge funds during the credit crisis of 2007 and 2008.

Rob Griffin, senior vice president and U.S. director of search for Media Contacts, a communications consulting firm, is faced with the task of optimizing search engine marketing (SEM) for Air France. At the time of the case, SEM had become an advertising phenomenon, with North American advertisers spending $9.4 billion in the SEM channel, up 62% from 2005. Moving forward, Griffin wants to ensure that the team keeps its leading edge and delivers the results Air France requires for optimal Internet sales growth. The case centers upon Air France's and Media Contacts' efforts to find the ideal SEM campaign to provide an optimal amount of ticket sales in response to advertising dollars spent. This optimal search marketing campaign is based on choosing effective allocation of ad dollars across the various search engines, as well as selecting appropriate keywords and bid strategies for placement on the search result page for Internet users.

In determining the optimal strategy, the case presents background information on the airline industry as well as the Internet search options available at the time, including Google, Microsoft MSN, Yahoo!, and Kayak. Additionally, background information is provided on SEM and its associated costs and means of measuring the successfulness of each marketing effort. The case illustrates how one must first determine the key performance indicators for the project to guide analysis and enable comparison of various SEM campaigns. Cost per click and probability to produce a sale differ among publishers. Therefore, using a portfolio application model's quadrant positions can be used to determine optimal publisher strategies. Additionally, pivot tables help illustrate campaigns and strategies that have historically been most successful in meeting Air France's target Internet sales. Multiple recommendations on how Media Contacts can assist Air France in improving its SEM strategy can be derived from the data provided.

Students learn how to optimally leverage the Internet in generating customer sales in a cost-effective manner. Students will analyze and manipulate a variety of data using pivot tables to determine optimal strategies for obtaining maximum total online bookings through the various online channels available. Using a portfolio application model, students can determine an optimal publisher strategy and complete copy improvement analysis.

Examines the lease vs. buy decision for investments in technology. Addresses pivotal investment decision issues such as varying the length of the lease, the useful life of the equipment, and alignment with the company's overall financial strategy. The scenario is for a real financial services firm that has been disguised for confidentiality reasons. Presents an investment decision: should a company buy or lease technology with a relatively short useful life? The new controller at AMG, a Fortune 500 financial services firm, has been tasked with determining how to finance the acquisition of 7,542 new PCs to be rolled out over the next 12 months. This is a $6.7 million investment decision and the rollout schedule adds significant complexity to the solution. The controller must choose between buying or leasing the computers over 24- or 36-month time frames. Provides a framework for analyzing similar investment decisions. The key learning point is that leasing information technology can be cheaper than buying. This is contradictory to a car lease, which may be familiar from everyday experience. A new car has a potentially long useful life and can retain significant value after several years, hence, intuition is that buying should always be cheaper than leasing. Shows that this is not the case for information technology. Teaches the correct application of the mid-quarter convention within MACRS depreciation for technology, and the implications of operating vs. capital leases and off-balance-sheet financing. In the process, introduces the four tests for a capital lease. Finally, shows how creative analysis techniques can be used to simplify complex decisions. These techniques aid in arriving at a conclusion faster and with less effort.

To illustrate the fundamentals of lease vs. buy decisions in technology and how they differ from the typical capital equipment lease vs. buy decision. Topics covered include MACRS depreciation and off-balance-sheet financing for a complex leasing scenario staggered in time across multiple business units.

Focuses on Apple Computer's launch of iTunes and iPod as a way to give Wintel users a relationship with Apple. Deals with issues of brand equity, corporate and brand goal setting, target selection, and matching product and service characteristics with goals and targets. Also allows for a discussion of channel partners, their interests, and their impact on the likely success or failure of a strategy.

The Arbor City Community Foundation (ACCF) was a medium-sized endowment established in Illinois in the late 1970s through the hard work of several local families. The vision of the ACCF was to be a comprehensive center for philanthropy in the greater Arbor City region. ACCF had a fund balance (known collectively as “the fund”) of just under $240 million. The ACCF board of trustees had appointed a committee to oversee investment decisions relating to the foundation assets. The investment committee, under the guidance of the board, pursued an active risk-management policy for the fund. The committee members were primarily concerned with the volatility and distribution of portfolio returns. They relied on the value-at-risk (VaR) methodology as a measurement of the risk of both short- and mid-term investment losses. The questions in Part (A) of the case direct the students to analyze the risk inherent in both one particular asset and the entire ACCF portfolio. For this analysis the students need to calculate daily VaR and monthly VaR values and interpret these figures in the context of ACCF's risk management. In Part (B) the foundation receives a major donation. As a result, the risk inherent in its portfolio changes considerably. The students are asked to evaluate the risk of the fund's new portfolio and to perform a portfolio rebalancing analysis.

Understanding the concept of value at risk (VaR); Calculating daily and monthly VaR by two different methods, the historical and the parametric approach; Interpreting the results of VaR calculations; Understanding the role of diversification for managing risk; Evaluating the impact of portfolio rebalancing on the overall risk of a portfolio.

The Arbor City Community Foundation (ACCF) was a medium-sized endowment established in Illinois in the late 1970s through the hard work of several local families. The vision of the ACCF was to be a comprehensive center for philanthropy in the greater Arbor City region. ACCF had a fund balance (known collectively as “the fund”) of just under $240 million. The ACCF board of trustees had appointed a committee to oversee investment decisions relating to the foundation assets. The investment committee, under the guidance of the board, pursued an active risk-management policy for the fund. The committee members were primarily concerned with the volatility and distribution of portfolio returns. They relied on the value-at-risk (VaR) methodology as a measurement of the risk of both short- and mid-term investment losses. The questions in Part (A) of the case direct the students to analyze the risk inherent in both one particular asset and the entire ACCF portfolio. For this analysis the students need to calculate daily VaR and monthly VaR values and interpret these figures in the context of ACCF's risk management. In Part (B) the foundation receives a major donation. As a result, the risk inherent in its portfolio changes considerably. The students are asked to evaluate the risk of the fund's new portfolio and to perform a portfolio rebalancing analysis.

Understanding the concept of value at risk (VaR); Calculating daily and monthly VaR by two different methods, the historical and the parametric approach; Interpreting the results of VaR calculations; Understanding the role of diversification for managing risk; Evaluating the impact of portfolio rebalancing on the overall risk of a portfolio.

The Arbor City Community Foundation (ACCF) was a medium-sized endowment established in Illinois in the late 1970s through the hard work of several local families. The vision of the ACCF was to be a comprehensive center for philanthropy in the greater Arbor City region. ACCF had a fund balance (known collectively as “the fund”) of just under $240 million. The ACCF board of trustees had appointed a committee to oversee investment decisions relating to the foundation assets. The investment committee, under the guidance of the board, pursued an active risk-management policy for the fund. The committee members were primarily concerned with the volatility and distribution of portfolio returns. They relied on the value-at-risk (VaR) methodology as a measurement of the risk of both short- and mid-term investment losses. In its report for the investment committee, the ACCF risk analytics team recommended the daily VaR at 95% confidence as a measure for short-term risk and reported the corresponding numbers. It is now the task of the investment committee to interpret these figures. The case questions guide the executive students to a critical evaluation of both the reported VaR figures as well as of the VaR methodology.

Understanding the concept of value at risk (VaR); Interpreting the results of VaR calculations; Evaluating the appropriateness of VaR calculations; Critical discussion of the VaR methodology.

Case (A) starts by reviewing several attempts made by three consecutive Argentine governments between 1973 and 1989 to fight the three-digit inflation rates that had troubled the country since the end of World War II. Next, the implementation of the currency peg under the broad umbrella called the “convertibility plan” is discussed and its rationale is explained in connection with the Central Bank's role in controlling inflation and market expectations. The case then outlines the fiscal reforms introduced in the early 1990s concerning public finance, market regulation, and social security. Finally, the outcomes of these policies are briefly summarized.

Argentina's currency collapse provides a vivid illustration of the perils of government control on exchange rates in an export-dependent economy. Students will learn and understand (1) the role of herding and expectations in currency collapse; (2) the interdependence of fiscal and monetary policies; (3) monetary base management and its effects on inflation; (4) the advantages and drawbacks of currency pegs; (5) the story of the late 1990s financial and currency crises.

Should B&K Distributors implement a Web-based customer portal with an integrated marketing campaign? Asks readers to assist Jim Anfield, business development director for JDA Consulting, and Nancy O'Neil, B&K Distributor's sales VP, in determining the feasibility of this project. They must build the final ROI projections and develop recommendations for B&K's senior management team. Emphasizes the importance of assumptions and the range of possible outcomes. Based on a real-life management decision for a mid-size firm.

To teach ROI analysis best practices for technology project investments, requiring the analysis of several factors to conduct a thorough review of the investment's feasibility.

Christopher Lenard and his longtime friend, Kimberly Slater, are exploring the idea of developing a student-housing complex near the University of Wisconsin, Madison, by replicating Slater's highly successful, similar development near the University of Florida. Madison seemed to present attractive market and demographic conditions for investment in student housing in the summer of 2012. But before committing a large share of his personal wealth to the project, Lenard needs to conduct a more careful analysis of its potential risks and returns. By putting themselves into the shoes of a budding real estate entrepreneur, students will evaluate both the merits and pitfalls of various approaches to the financial analysis of real estate development projects.

After reading and analyzing the case, students will be able to:

• Evaluate the fundamental economic determinants driving the potential gains to real estate development

• Explain the merits and deficiencies of tools that can be applied to the financial analysis of real estate development projects, including financial feasibility; developing to a yield on cost; net present value analysis; and real options.

Evaluate the fundamental economic determinants driving the potential gains to real estate development

Explain the merits and deficiencies of tools that can be applied to the financial analysis of real estate development projects, including financial feasibility; developing to a yield on cost; net present value analysis; and real options.