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The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating the winning bids in various auctions concerning highway repair jobs using data on past auctions. The decision maker is faced with various professional, statistical, and ethical dilemmas.

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

Supplements the (A) case.

In January 1996, an investment manager of a hedge fund is considering purchasing an equity interest in a start-up biotechnology firm, Rocky Mountain Advanced Genome (RMAG). The asking price is $46 million for a 90% equity interest. Although managers of the firm are optimistic about its future performance, the investment manager is more conservative in her expectations. She asks an analyst to fashion a counterproposal for RMAG's management. The tasks for the student are to apply the concept of terminal value, interpret completed analyses and data, and derive implications of different terminal value assumptions in an effort to recommend a counterproposal. Little computation is required of the student. The main objective of the case is to survey many conceptual and practical challenges associated with estimating a firm's terminal value. Issues addressed include the concept of terminal value; the materiality of the terminal-value assumption; the varieties of terminal-value estimators and their strengths and weaknesses; taxation of terminal values; when to assume liquidation versus going-concern terminal values; choosing a forecast horizon at which to estimate a terminal value; the constant growth valuation model, its derivation, limiting assumptions of constant growth to infinity, and WACC > g; use of the Fisher Formula as a foundation for estimating growth rate to infinity; and using a variety of estimates to “triangulate” in on a terminal value.

In August 2005, an investment manager of a hedge fund is considering purchasing an equity interest in a start-up biotechnology firm, Arcadian Microarray Technologies, Inc. The asking price is $40 million for a 60 percent equity interest. Managers of the firm are optimistic about the firm's future performance; the investment manager is more conservative in his expectations. He calls on the help of an analyst with her firm to fashion a counterproposal to Arcadian's management. The tasks for the student are to apply the concept of terminal value, interpret completed analyses and data, and derive implications of different terminal-value assumptions in an effort to recommend a counterproposal. Very little numerical figure-work is required of the student.

An asset management company must replace the manager of its two signature mutual funds, who is about to retire. Two candidates have been short-listed. The management team is divided and cannot decide which of the two candidates would make the better mutual fund manager. The retiring manager presents a linear regression model to examine success factors of mutual fund managers. This linear regression is the starting point for the subsequent analysis.

Application of linear regression analysis to analyze the performance of mutual fund managers.

The case covers capital budgeting practice in a real estate company in Vietnam.

The case is ideally suited for participants in MBA, Executive MBA, and Masters in Finance programmes. It can be taught near the end of a course on corporate finance/financial management. It can also be taught as an advanced topic in financial management courses.

A real estate company in Vietnam has prepared a capital budget for, what it claims is, a 600 billion VND project. The weighted average cost of capital used by the company is 10.64 percent. An analyst in a consulting company is asked to thoroughly review the capital budget of what appears to be a project that is too good to be true. Lending rates in Vietnam at this time were around 15 percent.

Participants will learn how to correctly apply the principles of computing: net after tax cash flows from a project; and weighted average cost of capital, particularly in the context of real estate companies.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

In April 1992, this multinational consumer foods and beverages company is the focus of takeover rumors, which have prompted an assessment of the firm's returns. The student must choose among the principal methods of estimating the weighted-average cost of capital (WACC) for GrandMet and its three main business segments, and must then produce WACC estimates in order to evaluate the firm's performance.

The case has the following learning objectives:

1. understand the various types of comparisons that are possible between groups over time and across space;

2. evaluate a policy intervention using relevant data and different methods; and

3. understand the meaning of the phrase “controlling for other relevant factors” in regression and non-regression contexts.

The difference-in-differences (DID) approach is a useful tool for making meaningful comparisons. This case tries to provide a non-technical introduction to the approach using a basic comparison of crime rates among districts in Punjab (Pakistan's largest province). Being the most populous region of the country, Punjab faces many governance challenges, and street crime is one of them. (Exhibit 5 provides additional information about the geographical and administrative setting used in this case study.) In 2016, Chief Minister Shahbaz Sharif established the Dolphin (police) Force in different locations to improve urban patrolling and reduce street crime. There were debates about the effectiveness of the Dolphin Force (DF).

Those who are skeptical of DF point to various situations that were handled incorrectly by DF personnel, as well as other administrative and operational problems in the initiative. Optimists believe it is beneficial and want it to be expanded to other districts and regions. The threat of street crime claims many lives and, according to optimists, necessitates the formation of a special force. Whether the huge resources invested in the DF worth their lot or not can be known through sound statistical analysis that can identify the difference in the rate of crime because of the DF. In this instance, the case provides information to answer the following question:

Is there a significant difference in crime rates between areas where the DF is operating and districts where it has not yet been installed?

In quantitative/statistical analysis classes, the case can be used to teach the DID technique to MBA/MS Applied Statistics/Applied Data Analysis students. It can also be used in undergraduate Econometrics classes.

Teaching notes are available for educators only.

CSS 7: Management Science.

The case was written based on personal interviews with Jordan Boyes.

Boyes Group, a private real estate brokerage in Saskatoon, Saskatchewan, had been growing rapidly. Company founder Jordan Boyes needed to determine where to continue expanding. Saskatoon held great potential in home building, and he wondered if this would be a direction for his company. His real estate reputation was excellent, but he wondered if building homes would jeopardize his current relationships with local builders. He wanted to move fast, to avoid giving up market share to his competitors.

This case was designed for undergraduate and graduate classes in strategy.