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.

In late 2012 Adeline Herzog Memorial Hospital in Castle Rock, Colorado, was facing a problem with patient satisfaction. The Press-Ganey scores for the third-floor nursing unit–the primary destination (70 percent) for patients admitted through the emergency department–were at the 15th percentile, and the key HCAHPS score for inpatients was well below the Colorado average. Over the past six months Jeri Tinsley, director of medical, surgical, and intensive care services, had made various changes to try to improve the patient satisfaction scores for her 32-bed unit, but the scores seemed stuck at an unacceptably low level.

Tinsley worried that if improvements were not made soon, patients would start “voting with their feet” and take their business to competing hospitals. As a registered nurse, Tinsley's expertise was helping people heal; it was not analyzing data. In particular, she was overwhelmed by the patient comments included in the surveys; she had no idea how to analyze them and could not decide which issues to address first.

After analyzing the case, students should be able to:

• Organize and analyze qualitative data using affinity diagrams

• Identify priorities using Pareto diagrams

• Identify which aspects of a problem are (1) within their control to solve, (2) within their influence to solve, or (3) outside their control to solve

Organize and analyze qualitative data using affinity diagrams

Identify priorities using Pareto diagrams

Identify which aspects of a problem are (1) within their control to solve, (2) within their influence to solve, or (3) outside their control to solve

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.

Tom McKillop, CEO of AstraZeneca, faced the classic quandary of large pharmaceutical firms. The firm's patent for Prilosec (active ingredient omeprazole) was expiring. Severe cost-based competition from generic drug manufacturers was inevitable. Patent expirations were nothing new for the US$15.8 billion in revenues drug firm, but Prilosec was the firm's most successful drug franchise, with global sales of US$6.2 billion. How could the company innovate its way around the generic cost-based competition and avoid the drop in revenues associated with generic drug market entry? AstraZeneca had other follow-on drugs in the pipeline—namely Nexium, an improvement on the original Prilosec molecule. Additionally, the company had the opportunity to introduce its own version of generic omeprazole, hence becoming the first mover in the generic segment, and/or introduce an OTC version of omeprazole that might tap into other markets. Ideally, AstraZeneca would like to move brand-loyal Prilosec customers to Nexium. In this market, direct-to-consumer advertising has remarkable efficacy. Classical marketing challenges of pricing and promotion need to be resolved for the Nexium launch as well as possible product and place challenges for the generic or OTC opportunity. Which combination of marketing options will allow the firm to best sustain the value of the original omeprazole innovation?

The central objective of the case is to teach students how marketing variables can be used by first movers with diverse product portfolios to fend off severe price competition. These variables include pricing, promotion, product, and place (distribution) options as considered in the context of branded, generic, and OTC pharmaceutical market segments.