Friday, May 12, 2006

Queen's alumni named Canada's top analysts

Canada’s Top Analyst Awards were presented at an event in Toronto on May 3 — and several Queen’s School of Business graduates were among the winners.
The second annual Financial Post/Starmine awards measure analysts’ performance based on the return of their stock recommendations and the accuracy of their earnings estimates.
One of the evening’s biggest winners was Greg MacDonald, Queen’s MBA ’93, rated the top Large-Cap Stock Picker in Canada. An analyst with National Bank Financial, MacDonald was recognized for the success of his investment thesis that cable companies — not telecoms — were the smarter investment.

A veteran analyst in the telecom and cable sectors, MacDonald outlined this thesis in a report entitled “Economics of Broadband: Why Cable Has the Advantage.”
“Queen’s School of Business is pleased to sponsor this prestigious industry awards program for the second year running,” said Tom Anger, Executive Director of the Queen’s Executive Development Centre. “And, of course, we are always proud to see our alumni honoured.” Other QSB alumni to take home top analyst awards were Gordon Tait, BCom’79, with BMO Nesbitt Burns, and Patrick Tomalin, BCom’96, with Orion Securities, ranking seventh and tenth respectively, in the Large-Cap Stock Picker category. Cherilyn Radbourne, BCom’96, from RBC Capital Markets (now with Scotia Capital), took third place for Best Earnings Estimator. Using quantitative methods developed by StarMine, a leading provider of objective ratings of securities analysts, winners were judged on how stock picks performed and how accurately the analyst was able to predict earnings. This year’s Top Analyst Awards are based on performance of recommendations and estimates in the 2005 calendar year for Canadian companies.


At 10:33 AM, Anonymous biographical sketch sample said...

Those are the important facts which will help students to initiate with all those necessary guides for which they have been looking for.


Post a Comment

<< Home