Georges Dionne

From Wikipedia, the free encyclopedia

Georges is a full Professor of Finance and holds the Canada Research Chair in Risk Management at HEC Montréal, Canada. He is a Visiting Scholar in the Insurance and Risk Management Department at The Wharton School, University of Pennsylvania and in the Economic Department at Ecole Polytechnique, France.

Georges awards include the Kulp-Wright award (2002) for his book Handbook of Insurance, Pierre-Laurin prize (2003), the PRMIA award (2006), the Bank of Canada NFA Conference award (2006) and a Honorary PhD conferred by the Université d’Orléans (2006).

Georges has published extensively including editing five books on insurance. He is the Editor of the Journal of Risk and Insurance, and a member of the scientific committee for five journals including the Journal of Risk and Uncertainty, USA, and the Geneva Risk and Insurance Review, Switzerland, in which he was also fifth of the top referred authors.

Georges was responsible for the team that developed the model for computing the CREDIT VaR model of a Canadian bank in 2001 and the model for computing the OPERATIONAL RISK VaR of another bank in 2006. These two activities are important with respect to the new Basel II international regulation of banks. The two advance models permit to save capital by taking care of the banks portfolio diversification strategies.

His research activity is also related to road safety. One of his main achievements was to propose (with Marcel Boyer) a new model for automobile insurance pricing based on drivers’ demerit points. This model was implemented by the Société de l’assurance automobile du Québec in 1992 and is still used in Quebec.

In the insurance sector, Georges Dionne has collaborated on many projects on the detection of insurance fraud in claims. In collaboration with the Insurance Bureau of Canada, he has conducted a comprehensive study to evaluate the significance of insurance fraud in the files of the insurers in Quebec. More recently, with Pierre Picard and Florence Giuliano, he has developed an internal model for fraud detection for a large European insurer. This model was able to reduce up to 40% of the insurance fraud cost.