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  • Oct
    17
    2026

    Boston, MA: Ellen S. Solomita '89 Day of Service 2026

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    Please join fellow alumni, families, and friends as we gather to make a collective difference on our annual Ellen S. Solomita '89 Day of Service. Find out more Green Chevron
  • Oct
    28
    2026

    Babson Park, MA: Babson Trading Competition

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    The 16th annual Babson Trading Competition welcomes students to compete against one another using the Rotman Interactive Trader software, which simulates an order-driven market. This competition is open to undergraduate and graduate students at Babson College, Olin College, and Wellesley College. Students will compete individually, with cash prizes awarded to the top five finishers. Registration is required. Prizing:Cash prizes awarded to the top five finishers as follows:1st place - $4002nd place - $200 3rd place - $1504th place - $1005th place - $50 Schedule:5:00 - 6:00 pm Software tutorial and practice iterations (It is not necessary to attend the tutorial if you are already familiar with the software)6:00 - 6:45 pm Pizza and refreshments will be served outside the Cutler Center Finance Lab 6:45 - 7:15 pm Hear from special guest speakers7:15 - 7:45 pm Competition instructions and practice iterations for all participants7:45 - 9:15 pm Trading Competition9:15 - 9:30 pm Awards Presentation Software:The competition will use the Rotman Interactive Trader software. Prior to the competition, participants are encouraged to download and install the RIT Market Simulator Client and the Excel RTD (Real-Time Data) Links. Once the software is installed, participants can try the online demo case. Additional details from Professor Ryan Davies can be found on this webpage. The competition is based on the Liability Trading cases (LT3, LT4). In these cases, participants will be playing the role of a principal trader. Institutional orders will be randomly routed to a principal trading desk, and traders must decide whether or not to accept the tender. If the order is accepted, the trader then must develop an optimal strategy for unwinding the position over time, accounting for market conditions such as liquidity, price volatility, and price impact. Find out more Green Chevron