As Covid-19 Pandemic shows that we are surrounded by global unforeseen risks. Housing and housing financing are significant parts of people’s life and global crises may always put people’s right to housing in danger. For this very reason, it is a necessity to look for alternative financing models for housing as affordability would decrease the […]

As part of reforms to the regulations governing Canadian banks, new rules governing the capital to be set aside for market risk have been proposed, termed the Fundamental Review of the Trading Book (FRTB). With the new rules, some Canadian banks will move to calculating capital requirements using a regulatory Standardized Approach. The goal of […]

Climate change is one of the greatest challenge society has ever faced, with increasingly severe consequences for humanity. Climate change also creates risks to both the safety and soundness of the individual firms and to the stability of the financial system. This will be felt both in the cost of direct losses to climate events, […]

As Unmanned Aerial Vehicles (UAVs) become more ubiquitous, a special class of UAVs known as Unmanned Aerial Gliders (UAGs) promises to offer more efficient flight by using atmospheric energy to remain afloat. In order to facilitate the usage of UAGs in various applications, researchers have developed algorithms which allow for autonomous flight of UAGs. The […]

La question du stress financier devient d’autant plus alarmante dans le contexte de crise financière dû à la Covid-19 qui a pour principales conséquences pertes et baisses de revenu généralisé des revenus des ménages. De récents sondages font état d’une vague de faillites personnelles à venir dans les prochains mois : 1,3 million de Canadiens […]

One of the side effects of the COVI D-19 pandemic is that older people in institutional care tend to be more socially isolated and get less physical exercise. This is likely to increase falls risk both directly through reduced strength and balance because of insufficient exercise, and indirectly due to effects of depression leading to […]

Tidal marshes are incredibly important bot ecologically and economically. While they provide many natural resources, they also provide flood protection and water filtration. However, many marshes are recessing into unvegetated mudflats. My project aims to find out if and how much goose herbivory contributes to this problem and compare the effects of Canada Geese and […]

L’objectif de ce projet et de proposer une nouvelle approche pour générer un score ESG (environnementale, sociale et de gouvernance) basé sur la perception des consommateurs perçu via les réseaux sociaux. Cette nouvelle approche permettra de palier à plusieurs problèmes de transparences et de comparabilités lié aux scores ESG actuelle. Cette nouvelle mesure pourrait être […]

We will focus on creating a series of time dependent models for detecting fraudulent claims depending on the level of dynamic information available, and fine tuning these models before testing them with live data and putting the retained models into production. Our objective is to better filter our actual label-claims to form a better control […]

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly lead to an important augmentation of the information received daily by exchanges. Exchanges regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]

Data collection over time is a common practice in many large organizations- including financial institutions and health care providers- often with the goal of using this data to predict future challenges and opportunities. While this data may contain valuable information, it is often unstructured, coming from different sources and recorded at different times. This lack […]