Université de Montréal

This project deals with the mathematics of risk modeling and resource management. Using mathematical and statistical methods, the team develops new tools to help the financial services industry make better decisions about when to trade and at what price based on the available financial data. During the past year, the team focused on the development of statistical methods for measuring volatility and assessing asset pricing models in financial markets.

This project will explore new ways of customizing and translating the mass of daily information produced by Environment Canada (EC). This information in digital format is later transformed into weather and environmental forecasts, warnings and alerts that must be broadcast in real-time in at least two languages, in many different formats and in a way that takes location into account.

The forest industry is an extremely important sector of Canadian economic activity as it represents the largest part of Canada’s trade surplus and 3% of its GDP. Canadian forests sustain an industry that continues to support a significant number of jobs. The worldwide increase in competition and excess production capacity have considerable implications for the situation of the Canadian forest industry and threaten its position in international markets.