Search results

In February 2018, Jerome Powell had taken over as chair of the FOMC. At first glance, the macroeconomic conditions inherited by Powell appeared favorable for continued stability: unemployment and inflation were low, and the economy had been steadily growing for nearly a decade. Yet despite the appearance of stability, the economy faced significant risks that required the Federal Reserve's attention. Was an uptick in inflation imminent, and if so, should Powell raise rates to limit any inflationary pressure? Or was the economy still operating below capacity, and if so, should the Federal Reserve take a more accommodative stance? To gain perspective, Powell needed to look back at the past fifty years of monetary policy in the United States.

This case aims to study the growth, evolution, and social innovation of iThrive Games, a socially minded initiative that aims to create meaningful opportunities using technology for teens to enhance the knowledge, mindsets, and skills they need to thrive through development and across the continuum of mental disorder to wellness. iThrive's focus has been on creating “meaningful games”—that is, games that promote health and well-being of teen players. Founded in 2014 by Dorothy Batten, President of DN Batten Foundation, the organization's mission was to collaborate with game developers, partner with teens across the game development cycle (ideation to testing), and provide resources to foster teen thriving through gameplay. To do so, the organization took a unique social entrepreneurial approach. Drawing on a positive psychology framework and building the brand among key stakeholders including game developers, researchers, funders, youth, educators, and parents, the organization orchestrated a community dedicated to advancing the meaningful games field, and in doing so, have widespread impact.

Alexandre Tombini, the governor of the Central Bank of Brazil, faced a difficult situation in July 2015. Inflation was in the double digits, well above the target rate of 4.5%, and unemployment had increased from around 4.5% a year prior to nearly 8%. Any actions Tombini took to control inflation would most likely exacerbate unemployment, at least in the short run. To further complicate matters, Tombini's office was not independent of the executive branch of Brazil's government, and Tombini faced the possibility that any of his actions that were not aligned with the priorities of the current administration could cost him his job.

This case follows classes on fiscal and monetary policy in normal times and is the first class in a sequence on macroeconomic challenges–in this case, stagflation–high inflation and high unemployment. Students are pushed to consider why macroeconomic stabilization involves such acute and unpleasant tradeoffs during episodes of high inflation and unemployment. Students use the IS/LM AD/AS model as a reference.

This case invites students to assess the impact that Brexit, the withdrawal of the United Kingdom from the European Union, might have on a New York–based hedge fund's portfolio and, specifically, its UK assets. The case is designed to prompt students to make market assumptions and investment hypotheses based on a combination of numerical data and qualitative information. It requires no numerical computations; instead, it asks the student to interpret both markets' short-term reactions to the Brexit vote and strategy shifts from UK and European business leaders in order to evaluate longer-term implications for the economies of the United Kingdom, Europe, and the world.

This short case challenges students to review an array of corporate financial metrics and to match them to one of 13 listed industries. As such, students must use their intuition and common sense pertaining to the distinctive characteristics of, and the key differences between, the 13 named industries, and then identify the financial metrics that are most indicative of those traits.

The case evolves around the Powerball lottery and the rule changes implemented in 2015, which, among other things, changed the chances of winning the jackpot from 1 in 175 million to 1 in 292 million. What is the impact of such rules on lottery revenues? The expected value rule is unable to explain why people play in the first place and fails to give the appropriate weight to the factors that explain the attractiveness of a lottery. This case is ideal to introduce the notion of decision weights as put forward by Kahneman and Tversky's prospect theory. By calculating decision weights, we obtain a reasonable prediction for the willingness to pay for the lottery as a function of different jackpot amounts. Using past data, we can correlate lottery revenues with predicted willingness to pay for a ticket. Quantitative-inclined audiences can then develop a simulation model of how likely it is that the jackpot grows, which, coupled with the prediction of revenues as a function of the jackpot, would give the evolution of the revenues under the new rule. The accompanying spreadsheet provides data for students to work out various scenarios to narrow objectives and maximize revenue from Powerball tickets.