How do you predict the future trading price for a barrel of oil? You may be more likely to succeed if you have a statistician, a financial expert and computer scientist working together.
Waterfront International Ltd. (WIL), a quantitative finance research firm specializing in developing computer-based statistical trading strategies, challenged University of Toronto students to develop an automated trading strategy for oil prices – in only 48 hours.
Third place of $2,500 went to a team of students from UTSC: Lucas Huang (finance), Veronica Ng (statistics) and David Szeto (computer science).