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The Principal
Cup: An OR/MS
Analytics
Challenge
Informs University of Michigan INFORMS Student Chapter
Using historic data and operations research tools, participants are challenged to develop an objective decision-making process to buy, sell, or hold stocks that experience significant events.
The goal of this challenge is to create an objective decision-making process that recommends the optimal action to buy, sell, or hold a stock after it experiences an event.

Solutions could also go beyond a single recommendation and consider more complex strategies. As a fake and unsupported example, the optimal policy may be to sell the stock immediately after the event and buy it 30 days later. We also encourage solutions that quantify uncertainty and consider the costs of different types of errors. Buying a stock that should have been sold may be costlier than selling a stock that was a buy. Participants could also consider costs that are highly important but less tangible in nature, such as the firm’s reputation or losing a client. As is human nature, clients will actively remember the instances where a stock was bought that led to significant losses and likely forget or not realize the decision to not buy a stock that led to significant gains.

Datasets

Teams are provided with data for a set of global stock events from 2010 to 2017. There are four types of data provided:

The datasets and data dictionary can be downloaded upon registration.

Deliverables

The following items are required for an eligible submission:

Finalists teams will also present their solution to a panel of judges at the challenge event at the University of Michigan on September 28th, 2018.

Getting Started

Additional background information, datasets, and tips for getting started will be made available to registered participants after the challenge launches on July 15th, 2018.