Modelling Trading and Risk in the Market
Dr. Matt Davison, University of Western Ontario
Traders in both financial markets and commodity markets must make educated decisions about when to trade and at what price; this project develops tools to assist with this decision-making process. Working with energy companies, financial software companies as well as companies from the banking and insurance sectors, the research team develops optimal portfolio methods that produce both the best investment decisions and the best hedging strategies for claims in general markets.
Alexander von Humboldt Stiftung Foundation[/url]
CSS Analytics
Property and Casualty Insurance Compensation Corporation of Canada
High Performance Optimization: Theory, Algorithm Design and Engineering Applications
Dr. Anthony Vannelli, University of Guelph & Dr. Miguel F, Anjos, University of Waterloo
Due to the explosive growth in the technology for manufacturing integrated circuits, modern chips contain millions of transistors. Using sophisticated optimization algorithms, it is possible to achieve notable increases in the performance of the chips, reduce the manufacturing costs, and produce faster, cheaper computing for society. Thus, the objective of this project is to enhance the solution of large-scale optimization problems arising in these applications.
